AI Meets Life Sci

This episode of AI Meets Life Sci offers a comprehensive look at the ways AI is poised to upend the pharmaceutical industry. It features an in-depth keynote interview with Helen Merianos, Head of Sanofi's R&D Portfolio Strategy, who provides an inside look into Sanofi's commitment to go "all-in" on AI and data science. Merianos discusses the use of Sanofi's proprietary plai app – an AI-enabled smartphone app that draws from over a billion data points – and its role in establishing a data-driven culture across the company. Additionally, the episode features Michelle Longmire, MD, Co-Founder and CEO of Medable, who discusses the use of generative AI in automating and accelerating clinical trial technology deployment timelines. These applications could cut some timelines in half. Longmire envisions AI's potential to drastically accelerate a development process. “Say there's 10,000 uncured or poorly suboptimally treated human diseases.” At the current pace of drug development, it might take about 200 years to create treatments for those conditions. “Imagine if we could 10x that,” Longmire says. Join us for the next episode of AI Meets Life Sci, where we sit down with Ha Hong, PhD, Chief Artificial Intelligence Officer, Endoscopy at Medtronic. Thank you to our sponsors Catalyze Healthcare and SmartTRAK Business Intelligence, for providing invaluable support. catalyzehealthcare.com smarttrak.com Tune in and subscribe to AI Meets Life Sci on all major podcast channels and follow youtube.com/@DeviceTalks or AI Meets Life Sci YouTube Podcast to ensure you never miss an episode. WATCH, LISTEN, and READ. Thank you for supporting AI Meets Life Sci!

This episode of AI Meets Life Sci emphasizes the prognostic and point-of-care decision-making power of AI in oncology while addressing real-world implementation issues from regulation and liability to clinician trust and adoption, through conversations with leaders at GE HealthCare and Catalyze Healthcare. In the first segment, Ben Newton, General Manager of Oncology at GE HealthCare describes likely future advances in multimodal computing, which could parse diverse datasets from pathology, imaging, genomics and other domains to predict likely outcomes in given treatment scenarios. Newton also emphasized AI's ability to help overwhelmed physicians by alleviating workflow bottlenecks and assisting with point-of-care decision making. Despite the promise, he underscored that such advances rely on incorporating clinicians’ valuable perspective when developing these AI systems and partnerships with other industry stakeholders, such as cloud partners like AWS and academic centers or hospitals, to access data and create foundation models. In the second segment, Haley Schwartz, CEO at Catalyze Healthcare, highlights the potential of using AI for screening applications as an initial stepping stone to build trust and adoption. She also notes that potential headwinds for hospital adoption of AI are questions related to legal liability and reimbursement impacts. In addition, Schwartz emphasizes the importance of physician involvement, especially during the early stages of AI integration into healthcare. Join us for the next episode of AI Meets Life Sci, featuring a keynote interview with Helen Merianos, Head of Sanofi’s R&D Portfolio Strategy. Thank you to our contributors, some of whom include Catalyze Healthcare and SmartTRAK Business Intelligence, for providing invaluable support.Tune in and subscribe to AI Meets Life Sci on all major podcast channels and follow youtube.com/@DeviceTalks or AI Meets Life Sci YouTube Podcast to ensure you never miss an episode. WATCH, LISTEN, and READ. Thank you for supporting AI Meets Life Sci! Read Now: Watch Now: https://youtu.be/XtGbJ-2Jyro

This episode of AI Meets Life Sci explores the potential for data-driven innovation in healthcare, through conversations with leaders at Microsoft and 1910 Genetics. In the first segment, Elena Bonfiglioli, Global Business Leader for Healthcare, Pharma and Life Sciences at Microsoft, discusses the significance of computation, an essential element of AI investments, in enhancing R&D productivity in healthcare. She emphasizes the need for new approaches to drug development, including shorter clinical trial timelines and the shift toward more efficient R&D. Bonfiglioli also highlights the importance of multimodal data in research and development. In addition, speaks to the integral role of computational methods in drug development, emphasizing how they augment our disease understanding and can help with clinical trial design. In the second segment, Jen Nwankwo, PhD, Founder & CEO of 1910 Genetics - a Y Combinator and Sam Altman-backed startup, shares the innovation strategies around drug discovery. She details their problem-first approach, leading to an integrated, modality-agnostic drug discovery tech stack. Dr. Nwankwo highlights the use of Azure Quantum Elements in accelerating molecular simulations, positioning 1910 Genetics uniquely in designing both small and large molecules. Their global approach to accessible drug discovery through strategic partnerships is emphasized. Join us for the next episode of AI Meets Life Sci, featuring an exclusive interview with Ben Newton, Chief Digital Officer and GM of Oncology at GE Healthcare. Thank you to our contributors, some of whom include Catalyze Healthcare and SmartTRAK Business Intelligence, for providing invaluable support. Tune in and subscribe to AI Meets Life Sci on all major podcast channels and follow youtube.com/@DeviceTalks or AI Meets Life Sci YouTube Podcast to ensure you never miss an episode. WATCH, LISTEN, and READ: https://linktr.ee/AIMeetsLifeSci. Thank you for supporting AI Meets Life Sci! Read Now: www.drugdiscoverytrends.com/microsoft-1910-genetics-data-hidden-gems

Welcome to AI Meets Life Sci, the newest video podcast from DeviceTalks and Drug Discovery & Development. Co-hosted by Kayleen Brown, managing editor at DeviceTalks, and Brian Buntz, pharma and biotech editor, the series offers a comprehensive look into the intersection of AI and life sciences from two unique perspectives. WATCH the episode on Youtube - https://youtu.be/yW1fbtLoVg0 READ a TL;DR and deep-dive article - https://www.drugdiscoverytrends.com/can-ai-move-fast-and-cure-things-in-healthcare/ In the first segment, Paul Friedman, MD, Chair of the Department of Cardiovascular Medicine at Mayo Clinic, and Dave McMullin, Chief Business Officer of Anumana, discuss the groundbreaking collaboration between Mayo Clinic and Anumana in applying AI to enhance cardiovascular diagnostics, particularly through ECGs. They explore how AI can detect cardiac conditions early, with a focus on the EAGLE study's findings on AI-enhanced ECGs, and discuss Anumana's role in transforming these AI innovations into accessible medical devices. In the second segment, Jeff Elton, PhD, CEO of ConcertAI, speaks to the transformative role of AI in clinical trials. He sheds light on AI's capabilities in improving patient selection for clinical trials and streamlining processes within life sciences. Dr. Elton emphasizes the broader implications of AI, from enhancing patient care to accelerating the development of new treatments, and discusses the ethical considerations of AI integration in healthcare.These interviews provide insights into the evolving roles of AI in various sectors like medtech, pharma, and biotech, showcasing its potential in transforming healthcare and research methodologies. But that's not all! Join us for the next episode of AI Meets Life Sci, which features an interview with the Global Business Leader for Health and Life Sciences at Microsoft. Catch the full episode on major podcast platforms and YouTube to dive deeper into the exciting convergence of AI and healthcare. Thank you to our contributors, some of who include Catalyze Healthcare and SmartTRAK Business Intelligence, for providing vital support. To learn more about our contributors, visit: www.catalyzehealthcare.com and www.smarttrak.com. Thank you for watching and listening to AI Meets Life Sci.

What is AI Meets Life Sci? Get an understanding of what we will cover and why it's important in our 30-second video introduction of AI Meets Life Sci. AI Meets Life Sci is powered by DeviceTalks and Drug Discovery & Development, with co-hosts Kayleen Brown, Managing Editor, DeviceTalks and Brian Buntz, Pharma Editor, Drug Discovery & Development. #medtech #pharma #technology #artificialintelligence #ai #machinelearning #videopodcast #podcast #medicaltechnology #pharmaceutical