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AI For Pharma Growth

AI For Pharma Growth

Dr Andree Bates 238 Episodes Oct 13, 2026

AI For Pharma Growth is a podcast hosted by Dr. Andree Bates, an AI entrepreneur, aimed at helping pharma, biotech and healthcare companies understand how AI-based technologies can save time and grow their brands and business results. The show combines her deep sector experience with straightforward explanations of AI for biopharma executives, from biotech start-ups to large pharmaceutical firms. Episodes cover practical, proven approaches to building results with AI as well as interesting new tools and applications. Guests include experts who have developed powerful AI-powered tools behind time-saving and revenue-generating business outcomes.

Episodes

E239: How to Speed Up Drug Development Without Compromising Compliance
E239: How to Speed Up Drug Development Without Compromising Compliance Oct 13, 2026 00:35:20 In this episode of AI For Pharma Growth, Dr Andree Bates speaks with Clara Bernardes, co-founder and CSO of Biorce, about how AI can accelerate clinical development without sacrificing compliance or scientific rigour.Biorce was born from a deeply personal experience. After Clara's father-in-law received a terminal melanoma diagnosis, access to a clinical trial through compassionate use extended hi
E238: The diagnostic room: The Fifteen Failures Only Human Judgement Catches
E238: The diagnostic room: The Fifteen Failures Only Human Judgement Catches Oct 6, 2026 00:39:12 In this solo episode of AI For Pharma Growth, Dr Andree Bates explores one of the biggest blind spots in pharma AI: the failures that can survive a normal review process even when the output sounds polished, plausible and well grounded.Dr Andree explains why better models and better retrieval do not remove the need for human judgement. In fact, as AI systems improve, people often scrutinise them l
E237: Beyond the Pill: How AI is Unlocking the Preventative Medicine Opportunity Pharma Can't Afford to Miss
E237: Beyond the Pill: How AI is Unlocking the Preventative Medicine Opportunity Pharma Can't Afford to Miss Sep 29, 2026 00:30:19 In this episode of AI For Pharma Growth, Dr Andree Bates speaks with cancer biologist and health educator Rebecca Maff about how AI could help shift healthcare from treating disease to preventing it.Rebecca’s interest in prevention began after seeing women in her own family diagnosed with late-stage cancers and serious autoimmune conditions. Her subsequent work has included machine learning models
E236: Why 90% of Trials Still Fail — and What AI Can (and Can't) Fix
E236: Why 90% of Trials Still Fail — and What AI Can (and Can't) Fix Sep 22, 2026 00:34:21 In this episode of AI For Pharma Growth, Dr Andree Bates speaks with Raviv Pryluk, co-founder and CEO of PhaseV, about why so many clinical trials still fail and where AI can genuinely improve the odds.Raviv argues that failure is often not because the drug itself is wrong. Trials can fail because of the wrong patient population, indication, dose, design, sites, monitoring or interpretation of the
E235: AI created a trust crisis and nobody is talking about it
E235: AI created a trust crisis and nobody is talking about it Sep 15, 2026 00:31:26 In this episode of AI For Pharma Growth, Dr Andree Bates speaks with Dan Pratl, founder and CEO of Quadron Inc, about a trust problem emerging as AI moves deeper into pharma: how do organisations preserve confidence when more work is generated, shaped and accelerated by machines?Dan argues that verified output alone is not enough. Pharma already has human review, MLR, regulatory sign-off and quali
E234: The contrarian case for physics over data: can deterministic, training-free models beat ML in lead optimization?
E234: The contrarian case for physics over data: can deterministic, training-free models beat ML in lead optimization? Sep 8, 2026 00:43:38 In this episode of AI For Pharma Growth, Dr Andree Bates speaks with Dr. Jacek Marczyk, co-founder and CEO of BioDynLab, about a contrarian view of computational drug discovery: that the next leap may come not from more data and bigger models, but from physics.Dr. Marczyk brings a background in aerospace engineering, automotive, Silicon Graphics and complexity science. His work led to quantitative
E233: The Diagnostic Room: The AI Capability Problem Pharma Hasn't Named
E233: The Diagnostic Room: The AI Capability Problem Pharma Hasn't Named Sep 1, 2026 00:43:13 In this solo episode of AI For Pharma Growth, Dr Andree Bates explores the AI capability problem pharma has not properly named: training that works in the room, but fails to hold inside the organisation.Dr Andree explains why one-off workshops, generic AI fluency programmes and broad learning platforms are not enough. They may teach people what AI is, what it can do and where it can fail, but they
E232: The Early Readout: Upgrading the Interim Analysis to Catch Futility and Success Years Sooner
E232: The Early Readout: Upgrading the Interim Analysis to Catch Futility and Success Years Sooner Aug 25, 2026 00:28:16 In this episode of AI For Pharma Growth, Dr Andree Bates speaks with Tom Coates, CEO of Presentient, about why interim analysis in clinical trials is ready for a major upgrade.Interim analyses allow sponsors to look at trial data mid-flight and assess whether a study is likely to succeed or fail, using pre-specified rules. But Tom explains that many phase two and three commercial trials still do n
E231: The Diagnostic Room: You didn't have an AI problem. You had a capability problem.
E231: The Diagnostic Room: You didn't have an AI problem. You had a capability problem. Aug 18, 2026 00:36:48 In this solo episode of AI For Pharma Growth, Dr Andree Bates explores why many pharma teams do not have an AI problem at all. They have a capability problem.Dr Andree starts with a simple question: when was your team last properly trained on AI for their specific role? Not when they were given access to tools, licences or a generic use policy, but when they were trained to use AI effectively, saf
E230: The Last Untouched Dataset
E230: The Last Untouched Dataset Aug 11, 2026 00:23:56 In this episode of AI For Pharma Growth, Dr Andree Bates speaks with Nijat Ahmadov, CEO of Nucs AI, about molecular imaging as one of pharma’s most underused data assets.Nijat explains why PET, CT and other molecular imaging data remain largely “untouched”: clinically valuable and created at scale, but still too often trapped in qualitative reads rather than structured, standardised data that can
E229: From Reactive to Proactive: What a QP's Job Should Actually Look Like in 2026
E229: From Reactive to Proactive: What a QP's Job Should Actually Look Like in 2026 Aug 4, 2026 00:33:24 In this episode of AI For Pharma Growth, Dr Andree Bates speaks with Jitesh Halai, founder and CEO of OneSC, about what the Qualified Person role should look like in a more proactive, digitally connected pharmaceutical supply chain.Jitesh explains how many QPs are still forced into reactive work: chasing documents, checking versions, searching inboxes, reconciling batch data across disconnected sy
E228: The Diagnostic Room: "We're Doing AI" Is Not a Board Answer
E228: The Diagnostic Room: "We're Doing AI" Is Not a Board Answer Jul 28, 2026 00:40:12 In this solo episode of AI For Pharma Growth, Dr Andree Bates explains why “we’re doing AI” is not a credible board answer, and why activity, pilots and steering committees are not the same as strategy.Dr Andree breaks down two common answers leadership teams give when asked about AI strategy. The episode explores why crowdsourced use cases often become “use case copying” rather than genuine inter

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