#82, Closing Care Gaps with Predictive Analytics, Aneesh Chopra from CareJourney and Mirza Baig from AWS

AWS Health Innovation Podcast

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Action Academy | Replace The Job You Hate With A Life You Love

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حدود یک سال پیش 42:24

MP3•خانه قسمت

Imagine a world where healthcare data flows seamlessly across providers, payers, and life sciences companies, enabling truly coordinated and personalized care. That future is rapidly becoming a reality, thanks to companies like CareJourney, our guest on this episode of the AWS Health Innovation Podcast. CareJourney is a healthcare analytics vendor specializing in processing claims data and deriving actionable insights for over 300 million patient lives across ACOs, health systems, payers, life sciences companies, and more.

In this conversation, Aneesh Chopra, the President of CareJourney and Mirza Baig, from the AWS Health AI team, leading Architecture & Product join Alex Merwin, Head of Growth for Healthcare & Life Science Startups at AWS, to discuss how CareJourney is leveraging AWS services and FHIR APIs to unlock the promise of value-based care through data integration and analytics. CareJourney's solutions empower healthcare organizations to operate more efficiently, provide higher quality care, and drive better patient outcomes.

Here are some of the key topics covered in this episode:

Timely Data Access: Enabled proactive interventions through daily FHIR data. Overcame delays in receiving patient information.
Fraud Detection Insights: Identified potential Medicare fraud by analyzing claims. Created alert system to prevent paying fraudulent claims.
Care Coordination Enablement: Integrated specialty companies into unified care journeys. Connected siloed data sources for coordinated care.
Data-Driven Healthcare: Leveraged AWS for data ingestion and analysis. Drove insights and next-best action recommendations.
Interoperability Commitment: Adapted to evolving data standards like FHIR. Simplified data sourcing across the healthcare ecosystem.
Industry Collaboration Importance: Encouraged debate on cloud platform healthcare functionality. Focused efforts to build data interoperability solutions.

Get in touch with AWS here to learn how we can help your organization accelerate healthcare innovation.

Please take a moment and let us know what you think of the podcast, access our feedback survey here.

128 قسمت

#Tech #Joe Shonkwiler

#82, Closing Care Gaps with Predictive Analytics, Aneesh Chopra from CareJourney and Mirza Baig from AWS

AWS Health Innovation Podcast

published حدود یک سال پیش

اشتراک گذاری

MP3•خانه قسمت

Here are some of the key topics covered in this episode:

Timely Data Access: Enabled proactive interventions through daily FHIR data. Overcame delays in receiving patient information.
Fraud Detection Insights: Identified potential Medicare fraud by analyzing claims. Created alert system to prevent paying fraudulent claims.
Care Coordination Enablement: Integrated specialty companies into unified care journeys. Connected siloed data sources for coordinated care.
Data-Driven Healthcare: Leveraged AWS for data ingestion and analysis. Drove insights and next-best action recommendations.
Interoperability Commitment: Adapted to evolving data standards like FHIR. Simplified data sourcing across the healthcare ecosystem.
Industry Collaboration Importance: Encouraged debate on cloud platform healthcare functionality. Focused efforts to build data interoperability solutions.

Get in touch with AWS here to learn how we can help your organization accelerate healthcare innovation.

Please take a moment and let us know what you think of the podcast, access our feedback survey here.

128 قسمت

#Tech #Joe Shonkwiler

همه قسمت ها

AWS Health Innovation Podcast

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#121, Engineering Better Drugs Through Bacterial Intelligence with Nik Sharma & Mo Alomari from BioCorteX 0:13

۴ روز پیش0:13

0:13

The complex relationship between bacteria and medication efficacy represents one of medicine's most overlooked frontiers. In this episode of the AWS Health Innovation Podcast, Amrita Sarkar, GenAI Leader for Health & Bio at AWS Startups, speaks with Nik Sharma (CEO and Co-Founder) and Muhannad Alomari (CTO and Co-Founder) of BioCorteX. Their groundbreaking work in computational drug-bacteria interaction analysis is reshaping our understanding of personalized medicine and drug development. What inspired BioCorteX's approach to pharmaceutical development? People living with diseases cannot wait. Drawing from tried and tested engineering methodology, BioCorteX applies sophisticated engineering principles to transform drug development success rates by exploring the drug-bacteria interactions. This cross-industry innovation demonstrates how established engineering practices can revolutionize pharmaceutical outcomes. What role does evolutionary biology play in BioCorteX's research methodology? The company's approach is fundamentally built on the fact that mitochondria – the power house of cells – are ex-bacteria. This deep historical connection provides crucial insights into how bacterial interactions influence medication responses across diverse populations. How does BioCorteX manage the complexity of human-bacterial interactions? Understanding biology is one of the most complex tasks that humanity has ever attempted to tackle , with human bacteria interactions that far exceeds the number of stars in our galaxy. Their proprietary Carbon Mirror technology employs advanced emulation technologies to analyze drug-bacteria relationships at an unprecedented scale. This in-silico approach enables the exploration of complex interactions that traditional laboratory methods simply cannot possibly capture. What makes BioCorteX's data approach unique in pharmaceutical development? The Carbon Knowledge platform leverages 15 million samples from 165 different geopolitical regions worldwide, enabling highly accurate drug trial outcome predictions. The scale and geographical breadth of this highly curated data help optimize clinical trials and enhance success rates for pharmaceutical companies. How does BioCorteX maintain efficiency with a lean team structure? Operating with just twelve team members, BioCorteX maintains an strong and radically transparent culture where everyone codes while partnering with major industry players. Their focus on scalable output and revenue generation challenges traditional startup growth models. What does BioCorteX's future in personalized medicine look like? The recent partnership with Tempus demonstrates BioCorteX's commitment to advancing personalized medicine. Their technology platform is positioned to fundamentally change how pharmaceutical companies approach drug development and patient care particularly when moving assets across regions i.e China to Global. Learn more about BioCorteX at https://BioCorteX.com/ Get in touch with AWS here to learn how we can help your organization accelerate healthcare innovation. Please take a moment and let us know what you think of the podcast, access our feedback survey here.…

AWS Health Innovation Podcast

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#120, Predicting Trial Success Before Recruitment with Orr Inbar from QuantHealth 39:28

20 روز پیش39:28

39:28

What if you could peer into the future of a clinical trial before enrolling a single patient? In this episode of the AWS Health Innovation Podcast, Alex Merwin, Head of Growth for Healthcare & Life Science Startups at AWS, sits down with Orr Inbar, Co-Founder & CEO of QuantHealth, to explore their groundbreaking platform that's revolutionizing drug development through clinical trial simulation. Their technology is transforming how pharmaceutical companies evaluate and advance potential therapies. 1. How is QuantHealth reshaping pharmaceutical research? By leveraging an extensive database of 350 million patient records and sophisticated AI models, QuantHealth's platform achieves an impressive 86% accuracy in predicting trial outcomes. This capability directly addresses the industry's persistent challenges of rising costs and high failure rates. 2. What fundamental industry challenges does QuantHealth address? The pharmaceutical industry struggles with average development costs of $3 billion and timelines exceeding a decade. Modern precision medicine requirements have added new layers of complexity to the drug development process, making traditional approaches increasingly challenging. 3. How did QuantHealth evolve during the pandemic era? Born during COVID-19, QuantHealth developed an AI-driven solution that effectively bridges the critical gap between preclinical and clinical stages. Their platform now processes thousands of trials annually, demonstrating remarkable precision in predicting outcomes. 4. What makes QuantHealth's technical approach unique? The platform combines biological knowledge graphs with deep learning models to create digital twins of both drugs and patients. This innovative approach spans more than 50 medical indications and multiple treatment modalities, enabling comprehensive trial simulation. 5. What real-world impact has QuantHealth demonstrated? Through partnerships with major pharmaceutical companies, QuantHealth has helped increase trial success rates by 15% while simultaneously reducing development timelines. Their simulation technology has made previously unfeasible trials possible. Learn more about QuantHealth's innovative approach to clinical trial optimization at quanthealth.ai Get in touch with AWS here to learn how we can help your organization accelerate healthcare innovation. Please take a moment and let us know what you think of the podcast, access our feedback survey here.…

AWS Health Innovation Podcast

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#119, Transforming Medical Device Development with Alex Condon from Galen Data 32:03

27 روز پیش32:03

32:03

From developing advanced technology for astronauts to revolutionizing medical device connectivity, every founders' innovation journey includes unexpected twists and turns. In this episode of the AWS Health Innovation Podcast, Yin He, Principal of Business Development for Healthcare & Life Sciences Startups at AWS, explores the transformative world of medical device cloud solutions with Alex Condon, COO and Co-founder of Galen Data. Their discussion reveals how Galen Data is helping medical device companies achieve FDA-compliant cloud connectivity in a fraction of the traditional time. 1. How did the transition from NASA contracting to medical devices shape Galen Data's vision? Alex's experience in NASA contracting revealed striking parallels between spaceflight and medical device compliance requirements. This unique perspective helped shape Galen Data's approach to creating simplified, yet robust cloud infrastructure specifically for healthcare technology. 2. What key challenges do medical device companies face in today's market? Complex EHR integrations and stringent cybersecurity requirements create significant barriers to market entry. Galen Data addresses these challenges through standardized solutions and comprehensive expert support, enabling faster deployment while maintaining compliance. 3. How does Galen Data adapt its platform for different company sizes? The platform's configurable nature allows it to serve both startups and enterprise-level organizations effectively. Each implementation is tailored to address specific organizational needs while maintaining regulatory compliance and operational efficiency. 4. What factors contributed to Galen Data's successful acquisition? Detailed documentation practices and strategic relationship building proved crucial in the acquisition by Luxera Capital Partners. The company's organized approach to compliance and security documentation demonstrated significant value during the exit process. 5. What sets Galen Data apart in the medical device industry? Their commitment to genuine community engagement and customer success has fostered lasting partnerships beyond traditional business relationships. This approach has established Galen Data as a trusted partner in medical technology innovation. Learn more about Galen Data's innovative cloud platform for medical devices at galendata.com Get in touch with AWS here to learn how we can help your organization accelerate healthcare innovation. Please take a moment and let us know what you think of the podcast, access our feedback survey here.…

AWS Health Innovation Podcast

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#118, Making Tomorrow's Treatments Available Today with Michel van Harten MD, from myTomorrows 25:49

۷ weeks پیش25:49

25:49

Guy Spigelman, EMEA Healthcare and Life Sciences Startups lead at AWS, sits down with Michel van Harten MD, CEO of myTomorrows, to explore how artificial intelligence is revolutionizing clinical trial recruitment. myTomorrows is transforming the patient-trial matching process, reducing hours of manual screening to mere minutes through sophisticated AI automation - all while maintaining exceptional accuracy standards. 1. How did a practicing physician become a digital health innovator? Driven by firsthand experiences with treatment access barriers, Michel van Harten MD, transitioned from clinical practice to leading myTomorrows, combining medical expertise with technological innovation to solve healthcare delivery challenges. 2. What makes myTomorrows' platform unique in the clinical trial space? The platform leverages advanced AI to create seamless connections between patients, physicians, and clinical trials, achieving an impressive 98% accuracy rate while reducing physician screening time by over 90% . 3. How does company culture contribute to patient impact? Monthly patient speakers and mission-focused initiatives keep their 110-person team deeply connected to their purpose. This values-driven approach helps attract top talent while maintaining sustainable growth. 4. What is the global reach of myTomorrows' solution? Operating across 125 countries with 2,200+ physicians , the platform has facilitated treatment access for nearly 15,000 patients through expanded access programs and clinical trial matching. 5. How has myTomorrows evolved from startup to scale-up? Through strategic pivots and technological advancement, myTomorrows has built a sustainable growth model, positioning themselves for growth equity funding and continued market expansion. Learn more about myTomorrows at https://mytomorrows.com/ Get in touch with AWS here to learn how we can help your organization accelerate healthcare innovation. Please take a moment and let us know what you think of the podcast, access our feedback survey here.…

AWS Health Innovation Podcast

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#117, Breaking Down Healthcare Data Silos with Mika Newton from xCures 40:26

۸ weeks پیش40:26

40:26

Healthcare data fragmentation remains one of the most pressing challenges in modern medicine. In this episode, Mike Tarselli, Specialist Leader for HCLS Data & AI at AWS, explores innovative solutions with Mika Newton, CEO of xCures. Their platform is revolutionizing how healthcare organizations access and utilize patient data, transforming disconnected, and often complex medical records into actionable insights through advanced AI technology. How did xCures evolve from cancer-specific solutions to a comprehensive healthcare platform? Starting in oncology, xCures developed AI solutions to tackle complex cancer patient management. The platform's success in organizing and analyzing oncology records led to natural expansion across all medical conditions, demonstrating the universal need for better healthcare data management. What makes xCures' approach to medical record management unique? The platform leverages advanced AI and machine learning to convert fragmented medical records into structured, actionable data. This transformation enables healthcare providers to access comprehensive patient histories while maintaining strict HIPAA compliance standards. How does the AWS partnership enable xCures' scalability? By utilizing AWS infrastructure, xCures processes millions of medical records with enterprise-grade security. Their multi-tenant architecture supports rapid growth while maintaining the highest data protection standards required in healthcare. What role does AI play in improving patient record management? xCures employs sophisticated Bayesian models and natural language processing to convert complex medical documentation into searchable, meaningful data. Their semantic embedding technology provides crucial clinical context, enhancing healthcare decision-making. What is xCures' vision for the future of healthcare data access? The company aims to create internet-style healthcare interoperability, addressing critical staffing challenges while improving patient outcomes through enhanced data accessibility and integration. How are healthcare organizations implementing xCures' technology? Telehealth providers and diagnostic companies use the xCures platform to streamline patient care coordination, enabling comprehensive access to patient data during virtual consultations and diagnostic testing through their SaaS solution. Learn more about xCures at https://xcures.com/ Get in touch with AWS here to learn how we can help your organization accelerate healthcare innovation. Please take a moment and let us know what you think of the podcast, access our feedback survey here.…

AWS Health Innovation Podcast

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#116, Programming Biology to Revolutionize Drug Discovery with Tharindi Hapuarachchi from Generate:Biomedicines 31:57

۹ weeks پیش31:57

31:57

The convergence of artificial intelligence and biological engineering is ushering in a new era of drug design. On this episode of the AWS Health Innovation Podcast, Sanjit Misra speaks with Tharindi Hapuarachchi, VP of Platform Strategy & Operations at Generate:Biomedicines, about their groundbreaking work in generative biology. Through their innovative platform, they're revolutionizing how we design therapeutic proteins, bringing unprecedented speed and precision to drug development. 1. How did Tharindi's unique background prepare her for pioneering work in biotech? Her journey from mathematics to bioengineering provides the perfect blend of analytical thinking and biological understanding needed for modern therapeutic development. This interdisciplinary expertise enables her to bridge the gap between computational design and practical applications in medicine. 2. What makes Generate:Biomedicines' approach to protein design revolutionary? Their platform combines advanced machine learning with biological engineering in a novel "lab in the loop" system. This integration allows them to test millions of protein designs within weeks, dramatically accelerating the traditional drug discovery timeline. 3. How does Generate:Biomedicines maintain seamless translation from design to application? A 330-person team operates both computational models and wet labs under one roof, creating an integrated ecosystem where AI-designed proteins can be rapidly tested and validated for therapeutic use. 4. What real-world success demonstrates the platform's capabilities? Their COVID antibody development program showcases the platform's power, completing in just 17 months. The ability to simultaneously optimize multiple properties represents a significant advancement over traditional pharmaceutical development methods. 5. How does Generate:Biomedicines' infrastructure support rapid innovation? Their system combines proprietary protein databases with 24/7 automated laboratories, enabling continuous learning and iteration in the protein design process. This infrastructure creates a powerful feedback loop that enhances the platform's capabilities over time. 6. What potential impact could this technology have on healthcare accessibility? The platform aims to reduce development costs while accelerating therapeutic creation, potentially enabling more personalized treatments for underserved populations and improving access to breakthrough medicines. Learn more about Generate:Biomedicines at generatebiomedicines.com Get in touch with AWS here to learn how we can help your organization accelerate healthcare innovation. Please take a moment and let us know what you think of the podcast, access our feedback survey here.…

AWS Health Innovation Podcast

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#115, Improving Care One Heartbeat at a Time with Dr. Jim Mault, CEO and Founder of BioIntelliSense 37:42

12 weeks پیش37:42

37:42

In a groundbreaking advancement for health monitoring, a device the size of a band-aid is transforming how we prevent medical emergencies. On this episode of the AWS Health Innovation Podcast, Yin He, Principal of Business Development for Healthcare & Life Sciences Startups, explores the future of patient care with Dr. Jim Mault, CEO and Founder of BioIntelliSense. Their conversation reveals how continuous vital sign monitoring is revolutionizing the century-old practice of patient observation. How is BioIntelliSense transforming traditional vital sign monitoring? The BioButton device captures an unprecedented 1,440 measurements daily, enabling continuous, AI-powered health monitoring. This medical-grade wearable represents a paradigm shift from periodic to constant patient observation. What makes the healthcare command center system unique? Healthcare providers can monitor up to 300 patients simultaneously through an innovative exception management system. The platform uses color-coding to transform complex data streams into actionable insights, similar to modern aviation control systems. How does continuous monitoring impact patient recovery? The system has demonstrated an impressive 80% reduction in 30-day readmissions by bridging the critical monitoring gap between hospital discharge and home recovery, providing enhanced security for both patients and their families. What role does cognitive computing play in healthcare data management? While healthcare facilities generate vast amounts of data, BioIntelliSense's cognitive computing approach processes this previously unused information into clear, actionable insights, following the successful evolution model of aviation safety systems. How does BioIntelliSense ensure successful clinical adoption? The company employs a structured three-phase implementation process, focusing on education and transformation. Healthcare facilities using the BioButton system report significant improvements in patient outcomes and reductions in unplanned transfers. What makes BioIntelliSense's approach sustainable? The company combines a subscription-based model with reusable devices to create both environmental and economic sustainability, while maintaining FDA compliance and clinical efficacy. Learn more about BioIntelliSense at www.biointellisense.com Get in touch with AWS here to learn how we can help your organization accelerate healthcare innovation. Please take a moment and let us know what you think of the podcast, access our feedback survey here.…

AWS Health Innovation Podcast

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#114, Revolutionizing Agriculture One Seed at a Time with Ponsi Trivisvavet from Inari Agriculture 28:18

13 weeks پیش28:18

28:18

The global food system faces an unprecedented challenge: producing 50% more food by 2050 using today's available land. On the AWS Health Innovation Podcast, Yin He, Principal of Business Development for Healthcare & Life Sciences Startups, explores this critical issue with Ponsi Trivisvavet , CEO of Inari Agriculture. Learn how this innovative company is revolutionizing agriculture through AI-powered predictive design and advanced multiplex gene editing to create more efficient, sustainable crops. 1. How is Inari reimagining seed development for a sustainable future? By combining AI-powered predictive design with CRISPR technology, Inari creates resilient, high-yield crops that maximize resource efficiency. Their breakthrough approach directly addresses global food security while minimizing environmental impact. 2. What inspired the transition from electrical engineering to agricultural innovation? Ponsi Trivisvavet's background in electrical engineering evolved into a passion for agricultural transformation after witnessing technology's direct impact on farming communities. This experience fundamentally shapes Inari's mission to revolutionize crop development. 3. How does Inari overcome traditional seed development limitations? While conventional breeding faces significant constraints in annual yield improvements, Inari's advanced gene editing platform accelerates natural breeding processes, radically reducing development timelines. 4. What makes Inari's technology approach unique? The company employs a dual-technology strategy, leveraging both artificial intelligence and multiplex gene editing. Their predictive design system analyzes complex crop genomes to identify optimal genetic modifications for improved crop performance. 5. How does Inari's business model support agricultural transformation? Through strategic partnerships and royalty arrangements with existing seed companies, Inari focuses on corn, soybeans, and wheat - crops that represent 70% of global markets - to maximize their impact on food security. 6. What drives Inari's rapid growth and innovation? A culture of continuous innovation, including unique benefits and dedicated innovation leadership, has fueled Inari's expansion from 30 to over 300 employees. Their "What if?" mindset consistently challenges traditional agricultural limitations. Learn more about Inari Agriculture's innovative approach to securing our food future at inari.com Get in touch with AWS here to learn how we can help your organization accelerate healthcare innovation. Please take a moment and let us know what you think of the podcast, access our feedback survey here.…

AWS Health Innovation Podcast

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#113, Bridging the Gap Between Medical Knowledge and Practice with Rob Brisk from Eolas Medical 45:13

14 weeks پیش45:13

45:13

Healthcare professionals access over 5 million medical references annually through Eolas Medical's platform. In this episode of the AWS Health Innovation Podcast, Alex Merwin, Head of Growth for Healthcare & Life Science Startups at AWS, sits down with Rob Brisk, Former Chief Scientific Officer of Eolas Medical. Eolas provides a digital platform that organizes medical information, helping healthcare providers quickly find answers to clinical questions at the point of care. This conversation explores the intersection of technology and healthcare, offering valuable insights into the future of medical knowledge management. How is Eolas Medical approaching AI integration in healthcare? Eolas Medical takes a cautious approach to AI integration, prioritizing safety and regulatory compliance. They balance the potential of AI with the need to maintain high standards of patient care and ethical considerations, reflecting the broader challenges in the healthcare industry. What inspired Rob Brisk's transition from cardiology to healthcare technology? Rob Brisk's journey from practicing cardiologist to tech innovator exemplifies the growing intersection of medicine and technology. His experience highlights the potential for clinicians to drive meaningful change in healthcare through digital solutions, bridging the gap between medical expertise and technological innovation. How does Eolas Medical's platform address critical needs in healthcare? The platform provides rapid access to up-to-date medical information, aligning with the industry's push towards evidence-based practice. By streamlining access to medical knowledge, Eolas supports improved efficiency in clinical decision-making and helps healthcare professionals stay current with the latest medical information. What challenges does Eolas face in building trust for their clinical AI systems? The development of Eolas Medical's RAG system highlights the complexities of introducing AI into clinical settings. Key challenges include gaining clinician acceptance, defining the role of AI in decision support, and maintaining the essential human element in healthcare while leveraging technological advancements. How does Eolas Medical's unique team composition contribute to healthcare innovation? With 70% of their engineers having medical backgrounds, Eolas Medical showcases a powerful model for healthcare innovation. This physician-engineer approach bridges the gap between clinical needs and technological solutions, potentially accelerating the development of effective digital health tools and ensuring that innovations are grounded in real-world medical practice. To learn more about Eolas Medical and their innovative platform for healthcare professionals, visit their website at https://www.eolasmedical.com/ . Get in touch with AWS here to learn how we can help your organization accelerate healthcare innovation. Please take a moment and let us know what you think of the podcast, access our feedback survey here.…

AWS Health Innovation Podcast

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#112, Defeating the Diseases of Aging with Daniel Ives from Shift Bioscience 31:46

19 weeks پیش31:46

31:46

Imagine being able to reverse the biological clock and restore youth. That's the ambitious goal of Shift Bioscience, a biotech company pioneering novel gene-based cell rejuvenation therapies. In this episode of the AWS Health Innovation Podcast, Sanjit Misra from AWS hosts an in-depth conversation with Daniel Ives, the CEO and Founder of Shift Bioscience. Daniel's team has made significant breakthroughs in developing cell rejuvenation therapies using advanced cell simulation models and aging biomarkers to tackle the underlying driver of many age-related diseases. How did Daniel Ives' research journey lead to the founding of Shift Bioscience? Daniel's path from studying mitochondrial mutations to founding Shift Bioscience illustrates a fascinating evolution in aging research. This transition underscores the potential for AI-driven approaches to revolutionize our understanding of cellular aging and rejuvenation. What innovative approach does Shift Bioscience use to accelerate aging research? Shift Bioscience employs groundbreaking cell simulations that compress centuries of experiments into mere years. This approach enables rapid discovery of safe rejuvenation pathways, potentially fast-tracking the development of anti-aging therapies. How does Shift Bioscience position itself in the field of longevity research? Operating at the cutting edge of longevity research, Shift Bioscience focuses on fundamental aging processes. Their work challenges conventional approaches, pushing the boundaries of what's possible in cellular rejuvenation and age-related disease prevention. What is the significance of Shift Bioscience's single cell aging clock? The single cell aging clock represents a significant advancement in aging research. This machine learning-powered tool enables precise prediction of epigenetic age from single cell data, dramatically accelerating the pace of experimentation and discovery. How does Shift Bioscience address the risks associated with cell rejuvenation? Shift Bioscience has discovered novel methods to rejuvenate cells without dangerous side effects. Their approach, including a single gene intervention, avoids the pluripotency risks associated with traditional Yamanaka factors, potentially offering safer anti-aging therapies. How does cloud computing contribute to Shift Bioscience's research capabilities? By leveraging cloud computing, Shift Bioscience has revolutionized the speed and scale of aging experiments. Their ability to run hundreds of thousands of simulations in days demonstrates the power of combining biotechnology with advanced computing resources. To learn more about Shift Bioscience and their groundbreaking work in cell rejuvenation, visit their website at https://www.shiftbioscience.com/ . Get in touch with AWS here to learn how we can help your organization accelerate healthcare innovation. Please take a moment and let us know what you think of the podcast, access our feedback survey here.…

AWS Health Innovation Podcast

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#111, Breathing New Life into Metabolic Health with Daniel Tal Mor from Lumen 27:42

20 weeks پیش27:42

27:42

Unlock the secrets of your metabolism with a single breath. On this episode of the AWS Health Innovation Podcast, Mike Tarselli, Specialist Leader for HCLS Data & AI, explores the cutting-edge world of breath-based health tech with Daniel Tal Mor, Founder & CEO of Lumen. Discover how this innovative device is transforming the way we approach metabolic health, offering real-time insights through a simple smartphone app. How does Lumen's device measure metabolism? Lumen's innovative technology measures metabolism through a single breath, providing real-time data on whether the body is burning fat or carbs. This approach democratizes metabolic health monitoring, offering an accessible alternative to expensive hospital equipment. What inspired the creation of Lumen? Lumen was born from the combined expertise of twin PhDs, Michal and Merav, who specialized in cardiac arrhythmia. Their backgrounds in nutrition and endurance athletics, coupled with frustration over limited nutrition study data, led to the development of this revolutionary metabolic measurement tool. How does the Lumen device analyze breath? The device analyzes CO2, humidity, temperature, and airflow in exhaled breath to determine metabolic state. This sophisticated technology translates complex physiological processes into actionable insights for users seeking to optimize their health. How does Lumen leverage data for personalized health recommendations? With over 66 million metabolic measurements from 300,000+ customers, Lumen offers highly personalized health recommendations. The platform's ability to provide tailored interventions based on vast datasets sets a new standard in digital health coaching. What role does cloud technology play in Lumen's functionality? Lumen's cloud-based processing enables continuous algorithm improvement and personalization without hardware changes. This approach allows the platform to adapt to various user needs, from weight loss to athletic performance optimization. How does AI contribute to Lumen's health insights? Lumen's AI analyzes diverse data points to provide context-appropriate health recommendations. The company's collaboration with AWS facilitates large-scale data storage and processing, driving continuous improvements in metabolic science. What research partnerships is Lumen involved in? Lumen is partnering with universities and hospitals to advance metabolic health research. The company's unique at-home device enables novel studies, potentially reshaping our understanding of metabolism in various populations and conditions. What does Lumen envision for the future of personalized metabolic health? Lumen anticipates a growing focus on metabolic health, partly due to weight loss medication side effects. The company's ability to detect menstrual cycle phases and menopause onset through metabolic measurements showcases the potential for highly personalized health insights. To learn more about Lumen and their innovative metabolic health technology, visit https://www.lumen.me/ . Use coupon code AWS for a special discount on a Lumen device. Get in touch with AWS here to learn how we can help your organization accelerate healthcare innovation. Please take a moment and let us know what you think of the podcast, access our feedback survey here.…

AWS Health Innovation Podcast

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#110, Using AI to Give The Gift of Independence to Aging Adults with Nevo Elmalem from Sensi.ai 33:28

21 weeks پیش33:28

33:28

The aging population is creating unprecedented challenges in senior care. In this episode of the AWS Health Innovation Podcast, Guy Spigelman, EMEA lead for Healthcare and Life Sciences Startups at AWS, speaks with Nevo Elmalem, Co-Founder & CTO of Sensi.ai. Sensi is on a mission to unleash growth, productivity, and purpose for home care agencies, empowering every senior to safely age in place through care intelligence. Sensi.AI's sophisticated audio AI platform transforms home care by predicting and detecting care events while maintaining privacy. It equips agencies with essential insights into senior health, enabling timely interventions and tailored care plans. This reduces hospitalizations, enhances caregiver-client relationships, and prolongs service durations, allowing seniors to stay at home longer. How did personal experiences shape the founding of Sensi.ai? Nevo Elmalem's journey to founding Sensi.ai was inspired by two powerful personal experiences. These stories highlighted the critical need for holistic assessment and safety in care environments, driving the innovation behind Sensi.ai's technology. How does Sensi.ai's technology enable aging in place? Sensi.ai's audio-based monitoring system allows seniors to remain safely in their homes. Sensi's AI technology is trusted by home care agencies across the nation for its ability to identify over 100 critical insights, including early indicators of respiratory infections, UTIs, care resistance, cognitive shifts, and emergencies like falls. Our customers share how Sensi is preserving independence and quality of life for the older adults while also saving lives by enabling timely intervention. . What gives Sensi.ai a competitive edge in the eldercare market? Sensi's AI, powered by the home care industry’s largest proprietary dataset with over 1,000 years of audio data, offers unmatched precision, privacy, and comprehensiveness. Unlike traditional senior care technologies that rely on user input, Sensi operates continuously, requiring no action from seniors—an approach especially vital for emergencies and dementia care. By shifting from reactive to proactive care, Sensi enables agencies to craft personalized care plans and provide seamless support, even in caregivers' absence. This ensures consistent, tailored care for seniors while enhancing communication with families, caregivers, and healthcare providers for a holistic care experience. How did Sensi.ai approach startup challenges and funding? Nevo details Sensi.ai's lean approach to product development and funding. Their strategy of demonstrating traction before seeking VC investment proved successful, resulting in over $53 million raised to support their growth and innovation. Can you share examples of AI's impact on eldercare through Sensi.ai? Sensi benefits seniors, families, and care teams alike. It acts as a safety net by detecting medication errors, falls, cognitive decline, and predicting infections like UTIs or respiratory issues reducing hospitalizations. Additionally, it provides insights into caregiver-client dynamics for optimal match increasing caregiver retention. As a care copilot, Sensi supports home care agencies in delivering better care and driving growth. What technologies power Sensi.ai's eldercare solution? Sensi.ai leverages AWS services and combines hardware, IoT, and AI technologies. This innovative tech stack addresses the growing demand for effective, scalable eldercare solutions, positioning Sensi.ai at the forefront of the eldercare revolution. To learn more about Sensi.ai and their innovative approach to eldercare, visit their website at https://sensi.ai/ . Get in touch with AWS here to learn how we can help your organization accelerate healthcare innovation. Please take a moment and let us know what you think of the podcast, access our feedback survey here.…

AWS Health Innovation Podcast

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#109, Transforming Real-World Data into Actionable Clinical Evidence with Dr. Brigham Hyde from Atropos Health 43:05

21 weeks پیش43:05

43:05

Transforming real-world medical data into actionable evidence in minutes, not years - this is the revolutionary approach of Atropos Health. On today's episode of the AWS Health Innovation Podcast, host Sanjit Misra has a fascinating conversation with Dr. Brigham Hyde, CEO and Co-Founder of Atropos Health. from technology developed and tested at Stanford, Atropos Health is reshaping the landscape of evidence-based medicine, providing on-demand evidence from real-world data to close critical gaps in healthcare and life sciences. Let's dive into how Atropos Health is elevating clinical outcomes, accelerating research, and driving operational efficiency. How did Atropos Health evolve from an academic project to an industry disruptor? Atropos Health's journey exemplifies the power of translating research into real-world impact. The company's mission to accelerate evidence generation aligns well with the growing demand for data-driven healthcare decision-making, showcasing how academic innovations can transform into practical solutions for the healthcare industry. What critical healthcare challenge does Atropos address? Atropos tackles the significant gap in high-quality evidence for many medical decisions. By rapidly generating real-world evidence, they aim to improve patient outcomes across diverse populations, including traditionally underrepresented groups, thus addressing a crucial need in healthcare decision-making. How does GENEVA OS™(Generative Evidence Acceleration Operating System) revolutionize healthcare research? Atropos Health’s GENEVA OS a critical infrastructure layer for the healthcare ecosystem that can rapidly, accurately, and transparently convert healthcare data into personalized evidence' streamlines complex data analysis and makes it accessible to non-technical users. This innovation significantly reduces the time and resources needed for healthcare research, potentially accelerating medical advancements and democratizing access to data-driven insights. What role does AI play in Atropos Heath's clinical insights generation? Chat RWD™, Atropos Healths' AI co-pilot, transforms clinical questions into real-world evidence studies in seconds. This technology has the potential to revolutionize point-of-care decision-making, enabling physicians to access personalized, evidence-based insights instantly, thereby enhancing the quality and efficiency of patient care. Can you provide examples of Atropos Health's real-world impact on patient care? Atropos Health's technology has demonstrated tangible benefits in clinical settings, from avoiding unnecessary tests to resolving treatment debates and improving shared decisionmaking. These case studies highlight the potential for data-driven approaches to improve healthcare efficiency and patient outcomes, showcasing the practical applications of their innovative platform. How does Atropos Health plan to expand its impact on global healthcare? I nternational expansion plans include addressing the need for diverse, representative medical evidence. By enabling global access to real-world data insights, they aim to reduce healthcare disparities and improve treatment efficacy worldwide, potentially transforming healthcare decision-making on a global scale. To learn more about how Atropos Health is revolutionizing healthcare decision-making with real-world data, visit their website at https://www.atroposhealth.com . Get in touch with AWS here to learn how we can help your organization accelerate healthcare innovation. Please take a moment and let us know what you think of the podcast, access our feedback survey here.…

AWS Health Innovation Podcast

1
#108, Accelerating Scientific Breakthroughs Through Collaborative R&D with Bogdan Knezevic from Kaleidoscope Bio 33:20

23 weeks پیش33:20

33:20

In this episode of the AWS Health Innovation Podcast, Yin He, Principal Business Development for Healthcare & Life Sciences Startups at AWS, explores the future of scientific research with Bogdan Knezevic, Co-Founder & CEO of Kaleidoscope Bio. Discover how their innovative software platform is transforming R&D by making it more collaborative, reproducible, and scalable across the life sciences industry. How is Kaleidoscope Bio revolutionizing R&D in the biotech and pharma industries? Kaleidoscope's platform streamlines R&D processes by integrating data from various sources, enhancing collaboration, and improving decision-making. This approach accelerates therapeutic development and helps companies reach clinical trials more efficiently. What role does data play in driving decisions in life sciences research? The Kaleidoscope platform aggregates critical information, allowing stakeholders to visualize and analyze data effectively. This empowers R&D leaders to make informed decisions, potentially reducing unnecessary costs and accelerating time-to-market for life-saving therapies. How does Kaleidoscope Bio cater to the diverse needs of different labs? Kaleidoscope offers customized product versions to accommodate varying technological infrastructures in life science companies. Their flexible approach ensures that both cutting-edge labs and those using basic tools can benefit from streamlined data management and improved collaboration. What design principles guide Kaleidoscope's platform development? Kaleidoscope prioritizes user-friendly interfaces to simplify complex workflows for scientists. Features like smart field mapping and one-click data highlighting demonstrate the platform's commitment to enhancing productivity in research environments. How does Kaleidoscope's platform help measure R&D efficiency and impact? The platform provides tools for assessing research productivity and identifying bottlenecks in the drug development process. This transparency enables both individual scientists and leadership to evaluate performance and optimize resource allocation. What inspired the creation of Kaleidoscope Bio? Bogdan Knezevic's background in genomics and biotech startups inspired Kaleidoscope's mission. The company's focus on solving fundamental R&D challenges reflects a deep understanding of the industry's needs and the potential for significant time and cost savings in scientific research. To learn more about Kaleidoscope Bio and their innovative R&D platform, visit kaleidoscope.bio . Get in touch with AWS here to learn how we can help your organization accelerate healthcare innovation. Please take a moment and let us know what you think of the podcast, access our feedback survey here.…

AWS Health Innovation Podcast

1
#107, Democratizing Musculoskeletal Treatment with Virtual Care, with Vijay Yanamadala from Sword Health 38:33

25 weeks پیش38:33

38:33

Suffering from chronic musculoskeletal pain? Sword Health is revolutionizing access to quality care with their cutting-edge digital therapy platform. Join Sanjit Misra, Senior Technical Product Manager at AWS, as he interviews Vijay Yanamadala, Chief Medical Officer at Sword Health, to explore how AI and virtual physical therapy are transforming the treatment landscape. 1. How is Sword Health overcoming barriers to accessing quality care? Sword Health provides tablets and mobile hotspots to ensure equitable access for all patients, regardless of location or socioeconomic status. Their platform democratizes care by reaching underserved communities and healthcare deserts. 2. How does Sword Health leverage AI to enhance physical therapy? Computer vision AI meticulously tracks patient movements during exercises, sending detailed data to physical therapists for personalized feedback and progression. This technology maximizes therapist bandwidth while ensuring optimal care. Sword Health's "Predict" AI model identifies patients at risk for unnecessary surgeries, leading to a 60% reduction in surgeries for those using their platform. This approach prioritizes conservative, evidence-based treatment. 3. How does Sword Health personalize the patient experience? Patients undergo comprehensive onboarding, including questionnaires and video calls with physical therapists to discuss goals and limitations. This personalized approach ensures tailored exercise programs from the outset. The AI assistant "Phoenix" guides patients through exercises with real-time feedback, gamification, and progress tracking, boosting engagement and adherence. Patients average 33 sessions compared to 4 for traditional in-person PT. 4. How does Sword Health measure and optimize patient outcomes? Sword Health measures patient-reported outcomes aligned with individualized goals, allowing real-time adjustments to ensure sustainable improvements in pain, disability, and work productivity. Learn more about Sword Health's innovative digital therapy platform here. Get in touch with AWS here to learn how we can help your organization accelerate healthcare innovation. Please take a moment and let us know what you think of the podcast, access our feedback survey here.…

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AWS Health Innovation Podcast « » #82, Closing Care Gaps with Predictive Analytics, Aneesh Chopra from CareJourney and Mirza Baig from AWS

#82, Closing Care Gaps with Predictive Analytics, Aneesh Chopra from CareJourney and Mirza Baig from AWS

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AWS Health Innovation Podcast « »
#82, Closing Care Gaps with Predictive Analytics, Aneesh Chopra from CareJourney and Mirza Baig from AWS