
On the show
From 28 epsHost
Recent guests
Recent episodes
E239: How to Speed Up Drug Development Without Compromising Compliance
Oct 13, 2026
35m 20s
E238: The diagnostic room: The Fifteen Failures Only Human Judgement Catches
Oct 6, 2026
39m 12s
E237: Beyond the Pill: How AI is Unlocking the Preventative Medicine Opportunity Pharma Can't Afford to Miss
Sep 29, 2026
30m 19s
E236: Why 90% of Trials Still Fail — and What AI Can (and Can't) Fix
Sep 22, 2026
34m 21s
E235: AI created a trust crisis and nobody is talking about it
Sep 15, 2026
31m 26s
Insights from recent episode analysis
Audience Interest
Podcast Focus
Publishing Consistency
Platform Reach
Insights are generated by CastFox AI using publicly available data, episode content, and proprietary models.
Most discussed topics
Brands & references
Total monthly reach
Based on 1 signal.
Built from
By chart position
- 🇮🇳India · Technology#188218 to 1.1K
- Per-Episode Audience
Est. listeners per new episode within ~30 days
218 to 1.1K🎙 Weekly cadence·216 episodes·Last published 6d ago - Monthly Reach
Unique listeners across all episodes (30 days)
435 to 2.3K🇺🇸71%🇮🇳29% - Active Followers
Loyal subscribers who consistently listen
239 to 1.3K
Market Insights
Platform Distribution
Reach across major podcast platforms, updated hourly
Total Followers
—
Total Plays
—
Total Reviews
—
* Data sourced directly from platform APIs and aggregated hourly across all major podcast directories.
Social Links & Contact
Official channels & resources
Official Website
Login
RSS Feed
Login
| Date | Episode | Topics | Guests | Brands | Places | Keywords | Sponsor | Length | |
|---|---|---|---|---|---|---|---|---|---|
| 10/13/26 | E239: How to Speed Up Drug Development Without Compromising Compliance | 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 his life from an expected three months to more than a year. That experience shaped Biorce's mission: reduce the time it takes promising treatments to reach patients.Clara explains why clinical trials are still slowed by protocol amendments, patient identification problems, poorly designed criteria and human-led errors that could often be caught much earlier.The conversation explores how Biorce uses AI and almost one million annotated protocols to support protocol development, learn from previous trial amendments and provide clear rationale for recommendations. Clara also discusses why transparency, AI ethics and keeping humans in the loop are essential in regulated clinical development.The key message is that speed and compliance do not have to be opposing forces. The goal is not to replace scientists or investigators, but to give them better information faster while preserving human judgement.Topics CoveredWhy clinical trials start lateProtocol amendments and avoidable human errorAI-generated clinical trial protocolsLearning from previous trial failuresTransparency and explainabilityAI ethics and regulatory complianceKeeping humans in the loopBalancing quality with velocityWhat sponsors should ask AI vendorsAbout EularisEularis builds AI capability inside pharma and biotech — over 20 years applying AI to real pharmaceutical problems, inside real pharmaceutical and biotech companies.Keynotes and live sessions — Working sessions for pharma teams where nobody leaves with notes. They leave with working prompts and real capability they've already run on their own work.The AI Enablement Institute — Strategy and a workshop get you started; neither stays current. Most pharma companies already have a generic AI course library. None of it is written for a regulatory writer, an MSL or a market access lead trying to get today's work done. Training is an event; enablement is capability that stays current. The Institute runs shared foundations for the regulated constraints, then tracks by business unit function, with new content monthly, live office hours with Dr Andree Bates, and per-person records a sponsor can show an auditor. One price per business unit, no per-seat charges.AI Strategic Blueprint and Governance — Board-ready strategy that links initiatives to commercial outcomes, with the sequencing, governance, capability and financial logic to survive scrutiny.AI Custom Builds for BioPharma — Design and build of the AI solutions that make strategic sense in your operating reality, tied back to the Blueprint.Start with the Institute → https://eularis.com/institute/Everything else → https://eularis.comAbout the PodcastAI For Pharma Growth is the podcast from Dr Andree Bates, helping pharma, biotech and healthcare organisations understand how AI-based technologies can save time, grow brands and improve company results. The show demystifies AI for biopharma leaders, from start-up biotech through to Big Pharma.Dr. Andree Bates LinkedIn | Facebook | X | 35m 20s | ||||||
| 10/6/26 | E238: The diagnostic room: The Fifteen Failures Only Human Judgement Catches | 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 less. Fluent prose can create a false sense of reliability, while automation bias and anchoring make reviewers less likely to challenge the underlying frame.The episode introduces three broad families of failure: invented, distorted and misdirected. These include fabricated or misattributed citations, silent interpolation, dropped qualifiers, hedge-to-claim escalation, manufactured consensus, stale guidance and planted instructions. Many of these are harder to catch because the output reads better than the truth.Dr Andree also shares practical checks teams can use, including tracing claims back to source, checking what is unsupported, looking for missing qualifiers, regenerating outputs for stability and deliberately testing the opposite case.The key message is that prompting is only half the skill. In a regulated industry, teams also need to be trained to judge what comes back.Topics CoveredWhy better AI can lead to less scrutinyAutomation bias and anchoringInvented, distorted and misdirected failuresFabricated and misattributed citationsDropped qualifiers and strengthened claimsManufactured consensusPrompt injection and planted instructionsClaim-by-claim verificationWhy review methods must change for AIThe growing importance of the judgement layerAbout EularisEularis builds AI capability inside pharma and biotech — over 20 years applying AI to real pharmaceutical problems, inside real pharmaceutical and biotech companies.Keynotes and live sessions — Working sessions for pharma teams where nobody leaves with notes. They leave with working prompts and real capability they've already run on their own work.The AI Enablement Institute — Strategy and a workshop get you started; neither stays current. Most pharma companies already have a generic AI course library. None of it is written for a regulatory writer, an MSL or a market access lead trying to get today's work done. Training is an event; enablement is capability that stays current. The Institute runs shared foundations for the regulated constraints, then tracks by business unit function, with new content monthly, live office hours with Dr Andree Bates, and per-person records a sponsor can show an auditor. One price per business unit, no per-seat charges.AI Strategic Blueprint and Governance — Board-ready strategy that links initiatives to commercial outcomes, with the sequencing, governance, capability and financial logic to survive scrutiny.AI Custom Builds for BioPharma — Design and build of the AI solutions that make strategic sense in your operating reality, tied back to the Blueprint.Start with the Institute → https://eularis.com/institute/Everything else → https://eularis.comAbout the PodcastAI For Pharma Growth is the podcast from Dr Andree Bates, helping pharma, biotech and healthcare organisations understand how AI-based technologies can save time, grow brands and improve company results. The show demystifies AI for biopharma leaders, from start-up biotech through to Big Pharma.Dr. Andree Bates LinkedIn | Facebook | X | 39m 12s | ||||||
| 9/29/26 | E237: Beyond the Pill: How AI is Unlocking the Preventative Medicine Opportunity Pharma Can't Afford to Miss | 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 designed to identify patients at higher risk of cancers and encourage overdue screening before disease progresses.The conversation explores what prevention really means in practice, from early biomarkers and personalised risk modelling to screening, lifestyle, metabolic health and behavioural change. Rebecca explains how AI can help analyse electronic health records and large patient populations to identify signals that would be difficult for humans to find manually.They also discuss the commercial opportunity for pharma. If late-stage disease becomes more preventable, the industry may need to think beyond treating established illness and consider new models built around earlier detection, intervention and maintaining health.Trust remains a major challenge. Rebecca argues that patients and clinicians need to see credible, successful AI implementations before confidence grows, particularly when systems are using highly personal health, genomic and behavioural data.Topics CoveredMoving healthcare upstream towards preventionAI-powered cancer risk stratificationEarly screening and disease detectionBiomarkers and personalised riskUsing electronic health records to identify signalsPrevention as a future pharma opportunityLifestyle, metabolic health and chronic diseasePatient data, privacy and trust in AIWhy proof of concept matters before scalingAbout EularisEularis builds AI capability inside pharma and biotech — over 20 years applying AI to real pharmaceutical problems, inside real pharmaceutical and biotech companies.Keynotes and live sessions — Working sessions for pharma teams where nobody leaves with notes. They leave with working prompts and real capability they've already run on their own work.The AI Enablement Institute — Strategy and a workshop get you started; neither stays current. Most pharma companies already have a generic AI course library. None of it is written for a regulatory writer, an MSL or a market access lead trying to get today's work done. Training is an event; enablement is capability that stays current. The Institute runs shared foundations for the regulated constraints, then tracks by business unit function, with new content monthly, live office hours with Dr Andree Bates, and per-person records a sponsor can show an auditor. One price per business unit, no per-seat charges.AI Strategic Blueprint and Governance — Board-ready strategy that links initiatives to commercial outcomes, with the sequencing, governance, capability and financial logic to survive scrutiny.AI Custom Builds for BioPharma — Design and build of the AI solutions that make strategic sense in your operating reality, tied back to the Blueprint.Start with the Institute → https://eularis.com/institute/Everything else → https://eularis.comAbout the PodcastAI For Pharma Growth is the podcast from Dr Andree Bates, helping pharma, biotech and healthcare organisations understand how AI-based technologies can save time, grow brands and improve company results. The show demystifies AI for biopharma leaders, from start-up biotech through to Big Pharma.Dr. Andree Bates LinkedIn | Facebook | X | 30m 19s | ||||||
| 9/22/26 | E236: Why 90% of Trials Still Fail — and What AI Can (and Can't) Fix | 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 data. PhaseV uses causal machine learning, adaptive trial design and large-scale simulation to help sponsors make better decisions across those areas.The conversation explores why explainability and validation matter in clinical development. Raviv explains that a 95% prediction is not enough on its own. Sponsors and regulators need to understand why a recommendation is being made, which evidence supports it, and whether the result is statistically and clinically defensible.They also discuss using existing trial data to identify responder subgroups, stress-testing designs before patients are enrolled, adapting trials mid-flight and connecting protocol design more closely with clinical operations.Topics CoveredWhy clinical trials still failCausal ML versus predictive modellingPatient selection and responder subgroupsAdaptive trial designSimulating trials before enrolmentSite selection and recruitmentValidation, explainability and statistical guaranteesGo/no-go portfolio decisionsAbout EularisEularis builds AI capability inside pharma and biotech — over 20 years applying AI to real pharmaceutical problems, inside real pharmaceutical and biotech companies.Keynotes and live sessions — Working sessions for pharma teams where nobody leaves with notes. They leave with working prompts and real capability they've already run on their own work.The AI Enablement Institute — Strategy and a workshop get you started; neither stays current. Most pharma companies already have a generic AI course library. None of it is written for a regulatory writer, an MSL or a market access lead trying to get today's work done. Training is an event; enablement is capability that stays current. The Institute runs shared foundations for the regulated constraints, then tracks by business unit function, with new content monthly, live office hours with Dr Andree Bates, and per-person records a sponsor can show an auditor. One price per business unit, no per-seat charges.AI Strategic Blueprint and Governance — Board-ready strategy that links initiatives to commercial outcomes, with the sequencing, governance, capability and financial logic to survive scrutiny.AI Custom Builds for BioPharma — Design and build of the AI solutions that make strategic sense in your operating reality, tied back to the Blueprint.Start with the Institute → https://eularis.com/institute/Everything else → https://eularis.comAbout the PodcastAI For Pharma Growth is the podcast from Dr Andree Bates, helping pharma, biotech and healthcare organisations understand how AI-based technologies can save time, grow brands and improve company results. The show demystifies AI for biopharma leaders, from start-up biotech through to Big Pharma.Dr. Andree Bates LinkedIn | Facebook | X | 34m 21s | ||||||
| 9/15/26 | E235: AI created a trust crisis and nobody is talking about it | 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 quality controls, but trust also depends on understanding where data came from, which models were used, where human judgement entered the process and whether that chain can be audited.The conversation explores why human expertise may become more valuable, not less, as AI spreads. Dan discusses shadow AI, the limits of forcing employees onto a single approved model, and why organisations need to reward people for curating, verifying and applying judgement across tools rather than treating AI usage itself as productivity.They also examine the risk of losing the junior work that traditionally builds expertise, the need for stronger audit trails, and why redesigning systems around AI may matter more than simply adding another governance dashboard.Topics CoveredAI and pharma's emerging trust problemWhy verified output is not the whole answerHuman judgement as a scarce resourceShadow AI and unsanctioned modelsAudit trails across humans, models and dataThe danger of equating token use with productivityBuilding future expertise in an AI-enabled workforceWhy trust requires incentives as well as governanceAbout EularisEularis builds AI capability inside pharma and biotech — over 20 years applying AI to real pharmaceutical problems, inside real pharmaceutical and biotech companies.Keynotes and live sessions — Working sessions for pharma teams where nobody leaves with notes. They leave with working prompts and real capability they've already run on their own work.The AI Enablement Institute — Strategy and a workshop get you started; neither stays current. Most pharma companies already have a generic AI course library. None of it is written for a regulatory writer, an MSL or a market access lead trying to get today's work done. Training is an event; enablement is capability that stays current. The Institute runs shared foundations for the regulated constraints, then tracks by business unit function, with new content monthly, live office hours with Dr Andree Bates, and per-person records a sponsor can show an auditor. One price per business unit, no per-seat charges.AI Strategic Blueprint and Governance — Board-ready strategy that links initiatives to commercial outcomes, with the sequencing, governance, capability and financial logic to survive scrutiny.AI Custom Builds for BioPharma — Design and build of the AI solutions that make strategic sense in your operating reality, tied back to the Blueprint.Start with the Institute → https://eularis.com/institute/Everything else → https://eularis.comAbout the PodcastAI For Pharma Growth is the podcast from Dr Andree Bates, helping pharma, biotech and healthcare organisations understand how AI-based technologies can save time, grow brands and improve company results. The show demystifies AI for biopharma leaders, from start-up biotech through to Big Pharma.Dr. Andree Bates LinkedIn | Facebook | X | 31m 26s | ||||||
| 9/8/26 | computational drug discoverydeterministic models+4 | Dr. Jacek Marczyk | BioDynLab | — | drug discoverydeterministic models+6 | — | 43m 38s | ||
| 9/1/26 | AI capability in pharmatraining effectiveness+4 | — | — | — | AI trainingpharma+5 | — | 43m 13s | ||
| 8/25/26 | interim analysisclinical trials+3 | Tom Coates | Presentient | — | interim analysisclinical trials+5 | — | 28m 16s | ||
| 8/18/26 | AI in pharmacapability problem+5 | — | — | — | AIpharma+5 | — | 36m 48s | ||
| 8/11/26 | molecular imagingAI in pharma+4 | Nijat Ahmadov | PETCT+2 | — | molecular imagingAI+5 | — | 23m 56s | ||
| 8/4/26 | Qualified Person rolepharmaceutical supply chain+5 | Jitesh Halai | OneSC | — | Qualified Personpharmaceutical+5 | — | 33m 24s | ||
| 7/28/26 | AI strategyboard governance+4 | — | — | — | AIstrategy+6 | — | 40m 12s | ||
| 7/21/26 | geneticsventure capital+4 | Bret Bostwick | Breyer CapitalHuman Genome Project | — | geneticsventure capital+5 | — | 33m 55s | ||
| 7/14/26 | AI in biopharmabusiness development+3 | Smbat Rafayelyan | Bioneex | — | AIbiopharma+5 | — | 28m 09s | ||
| 7/7/26 | AI governancepharma audit+3 | Nuno Valério | Merck Healthcare | — | AI governancepharma audit+4 | — | 31m 48s | ||
| 6/30/26 | AI strategyfinancial modeling+4 | — | — | — | AI valuefinancial case+6 | — | 33m 15s | ||
| 6/23/26 | biological datapersonal intelligence+3 | Ken Clark | Enigma Genetics | — | biological datapersonal health+5 | — | 35m 18s | ||
| 6/16/26 | pharmaceutical AIdata quality+3 | Lisa Downey | DrugBank | — | pharma AIdata integrity+3 | — | 29m 32s | ||
| 6/9/26 | AI governanceEU AI Act+4 | — | EUUS | — | AI governanceEU AI Act+5 | — | 28m 09s | ||
| 6/2/26 | pharma dealsbusiness development+4 | Andrey Doronichev | BiopticGoogle+1 | — | pharmabusiness development+5 | — | 23m 04s | ||
| 5/26/26 | real world evidencedata science+3 | Dr Danielle Bower | QuadraticMed | — | real world dataclinical trial data+3 | — | 35m 33s | ||
| 5/19/26 | astrophysicscancer biology+4 | Dr Irina Babina | ConcrFarsight Twin | — | astrophysicscancer treatment+4 | — | 31m 36s | ||
| 5/12/26 | AI executionpilot purgatory+4 | — | — | — | AIpharma+7 | — | 47m 14s | ||
| 5/5/26 | AIcell engineering+3 | Armon Sharei | Portal Biotechnologies | — | AIcell therapies+3 | — | 30m 32s | ||
| 4/28/26 | clinical trial site selectionAI Site Twins+4 | Simon Arkell | Ryght, Inc | — | clinical trialssite selection+5 | — | 35m 28s | ||
| 4/21/26 | AI in life sciencesrole-based AI agents+3 | Parth Khanna | ACTO | — | AIlife sciences+5 | — | 38m 55s | ||
| 4/14/26 | AI strategypharma+4 | — | pharma and life science organisationsmid-sized pharma company | — | AIpharma+5 | — | 27m 23s | ||
| 4/7/26 | AI ethicshealthcare+4 | Dr Nadia Morozova | ZillowEnriched Insights | — | AI ethicshealthcare+6 | — | 17m 36s | ||
| 3/31/26 | digital biomarkersprecision monitoring+3 | Dr Quique Llaudet | Ephion Health | Barcelonapaediatric hospitals | digital biomarkersAI+5 | — | 32m 32s | ||
| 3/25/26 | digital twinsAlzheimer's research+4 | Aaron Smith | ProCOVAUnlearn AI | — | digital twinsAlzheimer's+5 | — | 32m 13s | ||
| 3/18/26 | AI in drug developmentbiomarker discovery+4 | Vitalay Fomin | NumenosBig Pharma | — | drug discoveryAI+5 | — | 46m 32s | ||
| 3/11/26 | enterprise AIautomation+4 | Jocelyn Houle | Securiti.ai | — | enterprise AIautomation+5 | — | 31m 13s | ||
| 3/4/26 | clinical trialsAI in healthcare+3 | Dr Joseph Geraci | NetraMark | — | clinical trialsAI+5 | — | 33m 29s | ||
Showing 33 of 216
Pitch Fit is a Pro feature
See how bookable this show is for guests, which brands already advertise, the per-episode ad value, and the best-fit guest and sponsor profile. The numbers are blurred on the free plan.
How readily this show books outside guests like you.
How proven this show is for host-read sponsorships.
For Guests
ProFor Advertisers
ProUpgrade to Pro to unlock guest cadence, sponsor categories, fit scores, and per-episode ad value for this show.
Distribution & Reach
About the show, platforms, and key insights.
Distribution & Reach
About the show, platforms, and key insights.