Tech and Drugs - Podcast

• Applying Google's Search Recipe to Pharma R&D Data - With Douglas Selinger from Plex Research

  ere it is 🎙 "Tech and Drugs – Podcast" Episode #9 with 🧬💻 Douglas "Doug" Selinger from Plex ResearchThe theme for today: Applying Google's Search Recipe to Pharma R&D DataIn this episode of Tech and Drugs, I sit down with Douglas "Doug" Selinger, founder and CEO of Plex Research, whose unique approach is reshaping how scientists utilize data in drug discovery. While many companies are busy building predictive AI models, Doug and his team at Plex Research are leveraging techniques inspired by Google's internet search algorithms to make sense of vast and disparate datasets in pharma and biotech.Doug brings decades of experience, from pioneering microarray technologies in George Church's lab at Harvard to leading computational biology initiatives at Novartis. In 2017, he founded Plex Research to tackle the persistent challenges of data overload, silos, and underutilized information.We cover:✅ Doug's path from early genomics research to developing an innovative search-driven analytical platform designed specifically for scientists✅ How Plex's "focal graph" method integrates massive chemical biology and omics' datasets to reveal hidden connections in biological data✅ Overcoming Pharma’s persistent "data silo" problem by creating algorithms that adapt to the data scientists actually have✅ Real-world examples of Plex Research unlocking novel insights into disease mechanisms, biomarker identification, and precision oncology✅ Why transparency and explainability remain critical for AI adoption among scientists✅ The future potential of autonomous AI systems, combining knowledge graphs and large language models (LLMs), guided by human insightWhether you're navigating the complexities of data-rich environments or curious about pragmatic AI applications, this conversation provides actionable insights for improving decision-making in drug R&D.💬 How do you see search-inspired AI approaches changing drug discovery? Share your thoughts in the comments!

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• Building a Data-Driven Pharma Organization Through Analytics & AI with Shionogi's Anindita “Ani” Sinha

  Here it is 🎙 “Tech and Drugs – Podcast” Episode #8 with 👩‍🔬📊 Anindita “Ani” SinhaThe theme for today: Building a Data-Driven Pharma Organization Through Analytics & AIIn this episode of Tech and Drugs, I sit down with Anindita “Ani” Sinha, Vice President of Commercial Operations at Shionogi, whose journey from the microbiology lab to leading analytics, marketing, and field teams has shaped her vision for the future of pharma. With a BA in Biochemistry from Columbia and a PhD in Microbiology from Yale, plus nearly 15 years at Celgene, Bayer, Pfizer, and more, Ani shares how she:We cover:✅ How Ani went from academic research to consulting and then built “analytics first” teams in big pharma✅ Why AI is a powerful tool—but only when you “trust, verify, and know your data’s limits”✅ The critical steps to laying a solid data foundation: understanding, prioritizing, and connecting your datasets✅ Democratizing insights with self-service analytics and AI-driven platforms—finding the sweet spot between structure and flexibility✅ Strategies for attracting and retaining top tech-savvy talent in a highly regulated industry✅ What’s next: next-best-action models, predictive analytics, and cultivating an AI-ready workforceWhether you’re a scientist, data enthusiast, or industry leader, this conversation is packed with practical insights to help you harness analytics and AI for smarter decision-making in drug development and commercialization.💬 What data or AI challenges are you facing in life sciences? Share your thoughts in the comments!

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• From Molecules to Machine Learning: How AI Is Transforming Drug Discovery

  🎙️ From Molecules to Machine Learning: How AI Is Transforming Drug Discovery - Season 1, Episode 7 — with Frédéric CélerseHow do you shrink a multi-month quantum chemistry calculation into a few days? In this episode, we explore the power of augmented intelligence in drug discovery with Frédéric Célerse, researcher, boundary-breaker, and firm believer that good science starts with great data.Join host Thibault Géoui as we dive deep into:🔹 Why Frédéric says AI is more like augmented intelligence than artificial🔹 How molecular dynamics and quantum modeling are being accelerated by machine learning🔹 What AI can (and can’t) do alone, and why human insight is still irreplaceable🔹 Real-world tensions between AI and wet-lab scientists, and how to build true interdisciplinary teams🔹 The data trust gap in life sciences and why data governance might be the unsexy hero of innovation🔹 Why publishing models need to evolve for a faster-moving AI world (yes, we’re looking at you, Nature)🔹 And what advice Frédéric gives to students stepping into this fast-changing fieldIf you’ve ever wondered what it really takes to bridge AI with chemistry, biology, and pharma, and why being curious, collaborative, and data-savvy is key, this episode is for you.💡 Like what you hear? Subscribe to the podcast, leave a review, and follow us for more honest conversations at the frontier of tech and drugs.

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• Navigating the AI’s Regulatory Maze in Pharma; Marilia Aires from Kiin AI Shares Insights ⚖️💊

  🎙 Tech and Drugs - Episode #6 with 🏛📊 Marilia Aires from Kiin AI is now live!The theme for today: AI, Data Ethics & The Legal Challenges in Drug DiscoveryIn this episode, we dive into the legal frontier of AI in healthcare with Marilia Aires, legal counsel and data protection officer at Kiin AI. With 16+ years of experience across global legal landscapes, Marilia is at the intersection of law, data ethics, and biotech, helping organizations navigate the legal and ethical minefield of AI-driven drug discovery.We explore:✅ Who owns the data? Understanding data privacy, IP, and regulatory frameworks✅ GDPR, AI Act & Pharma: How Europe’s AI laws impact biotech innovation✅ The challenge of high-risk AI models in drug R&D and how companies navigate regulations✅ Data contracts & AI governance: Ensuring compliance while fueling innovation✅ Future trends in biotech AI: Personalized medicine, real-world data, and global data governanceWith AI reshaping everything in life sciences, from clinical trials to personalized treatments, Marilia breaks down the biggest legal and ethical questions companies must answer before deploying AI solutions.💬 What’s your take on AI regulation in pharma? Are current laws helping or hindering innovation? Drop your thoughts in the comments!

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• “Tech and Drugs - Podcast” Episode #5 with 🤖💊 Nicolas Maignan

  Here it is 🎙 “Tech and Drugs - Podcast” Episode #5 with 🤖💊 Nicolas Maignan is now live! The theme for today: Rethinking Drug Discovery Through AI & PolypharmacologyIn this episode of Tech and Drugs, I sit down with Nicolas Maignan, the AI expert and COO at Kantify, who’s redefining drug discovery with a fresh, data-driven perspective. With a background in industrial engineering and over seven years of hands-on experience in machine learning, Nicolas shares his journey from consultancy to revolutionizing R&D in healthcare—challenging the outdated one-drug, one-target dogma and championing a polypharmacological approach.We cover:✅ How Nicolas transitioned from industrial engineering to AI-powered drug discovery✅ The limitations of the one-drug, one-target paradigm and why it’s time for a change✅ The promise of polypharmacology: targeting multiple pathways for more effective treatments✅ Overcoming R&D challenges with big data and heterogeneous datasets✅ Future trends in pharma, including the rise of AI-first companies in tackling rare diseasesWhether you’re a tech enthusiast, a life sciences professional, or just curious about the future of drug discovery, this conversation is packed with insights to inspire and inform.💬 What are your thoughts on shifting from single-target to multi-target drug development? Drop your views in the comments!

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