All Episodes
AI For Pharma Growth — 236 episodes
E234: The contrarian case for physics over data: can deterministic, training-free models beat ML in lead optimization?
E233: The Diagnostic Room: The AI Capability Problem Pharma Hasn't Named
E232: The Early Readout: Upgrading the Interim Analysis to Catch Futility and Success Years Sooner
E231: The Diagnostic Room: You didn't have an AI problem. You had a capability problem.
E230: The Last Untouched Dataset
E229: From Reactive to Proactive: What a QP's Job Should Actually Look Like in 2026
E228: The Diagnostic Room: "We're Doing AI" Is Not a Board Answer
E227: From Bench to Boardroom: How One Geneticist is Quietly Reshaping the Future of Healthcare
E226: The AI Deal Scout: How Machine Intelligence Is Reshaping Biopharma Business Development
E225: The 80% Nobody Talks About: Building AI Governance That Survives a Pharma Audit
E224: The Diagnostic Room: The Financial Case Your CFO Actually Needs to See Before Approving Your AI Strategy
E223: From Population Models to Personal Intelligence: Rethinking Biological Data
E222: Why Most Pharma AI Will Fail Without This One Thing
E221: The Diagnostic Room: The AI Governance Timeline Moved. Your Governance Exposure Didn't
E220: The Intelligence Gap: Why Pharma's Biggest Deals Are Being Lost Before They Even Know They're Competing
E219: Bridging the Data-Use Divide: How QuadraticMed’s Dr. Danielle Bower Bridges Medicine and Data Science to Unlock Real-World Evidence
E218: How astrophysics methods used to study dark matter are now being applied to model cancer biology
E217: The Diagnostic Room: Pilot purgatory: why pharma AI stalls after the first wins
E216: When AI meets Cell Engineering
E215: Location, Location, Innovation: AI Site Twins and the New Era of Site Selection
E214: Beyond Copilot
E213: The Diagnostic Room: We have AI initiatives, but do we have a strategy? The quickest self-test
E212: The Ethics of AI
E211: Precision Monitoring: How Digital Biomarkers Are Changing Medicine
E210: Beyond Alzheimer’s: Scaling Digital Twins Across Disease Areas
E209: Beyond Failure Prevention: How AI is Redesigning the Drug Discovery Pipeline
E208 : The future of enterprise AI: agents, automation, and trust
E207: The economics of clinical trials and the relationship to AI
EP206: Why Your Pharma AI Strategy Is Probably Broken — And What a Real Blueprint Looks Like
E205: Healthcare Accessibility & Innovation
E204: Human-Centered AI: Designing Intelligence That Aligns With Us
E203: Building Programmable Biologics from Scratch: How DenovAI's AI is Revolutionizing Drug Discovery
E202: Recent Advances in LLMs and How They Will Impact Science and Pharma Research
E201: The Small Molecule Revolution: ProPhet's Tom Shani on AI-Powered Drug Discovery
E200: Podcast with Cures & Capital Part 3
E199: Podcast with Cures & Capital Part 2
E198: Podcast with Cures & Capital Part 1
E197: Inside the AI Factory: How AI Systems Builds Workflows That Actually Work
E196: Simplify to Scale: Using AI and Design Thinking to Cut Complexity and Grow Smarter
E195: How Organs-on-Chips Are Revolutionizing Drug Development
E194: The Digital Twin Revolution: Reimagining Clinical Trials
E193: The AI Doctor in Your Throat: Real-Time Cancer Detection
E192: Building Biotech: What It Takes to Lead a Public Life Sciences Company
E191: Quantum Computation In Medicine: The Challenges, What Comes After Large Language Models For Medicine
E190: AI-Powered Women's Health: Closing the Gender Data Gap in Medical Research
E189: The Mirror Never Lies: How AI Reveals Your Health From Your Face
E188: How AI is Used in Digital Marketing
E187: Digital Guardians: Where AI Meets Cybersecurity
E186: How Manufacturing Innovation is Making Personalized Medicine Scalable and Affordable
E185: Use of xAI in Small Cohort Clinical Trials to Identify Biomarkers of Best Responders
E184: How Contactless AI Sleep Monitoring is Transforming Patient Data Collection and Drug Development in Clinical Trials
E183: Accelerating Biomanufacturing with AI: Reducing Development Timelines from Years to Hours
E182: Why Clinical Drug Development Keeps Failing
E181: The future of IP Law: What's Next for Trademarks, Copyrights, and Patents as AI Continues to Disrupt Industries?
E180: Pharma and AI: Drug Discovery with Confidential AI Practices with Edge AI Implementations
E179: Beyond Anonymization: Why Traditional Privacy Isn't Enough for AI Healthcare
E178: Navigating Reliability in Modern Molecular Research with AI
E177 | Maximising Healthcare Value with Real World Data
E176 | FDA Guidance on AI in Drug Development & Orphan Drug Development
E175 | Technology and Human Evolution
E174 | How AI is Transforming Regulatory Submission and Medical Writing in Biopharma
E173 | How AI is Changing/Revolutionizing Drug Discovery
E172 | The problems that modern AI methods have with patient populations in oncology and neuroscience
E171 | Leveraging AI to Detect Mental States and Prevent Catastrophic Events in Mental Health
E170 | Leveraging AI for patient finding and knowledge generation for rare diseases
E169 | Scaling Life-Saving AI Through Synthetic Imaging
E168 | Copyright Implications of Employee AI Use
E167 | The most advanced AI for legal and compliance
E166 | AI and AR to help surgeons achieve better patient outcomes
E165 | AI & Wearable Data in Pharma: How real-time biometric insights can enhance patient monitoring and early intervention
E164 | AI for automating clinical trial processes and optimizing clinical trial design - that excels even with rare condition trials
E163 | AI Search & Healthcare: Ranking Where It Matters Most
E162 | How AI can simplify CNS participant screening for Alzheimers and Parkinsons
E161 | How GenAI can change medical imaging
E160 | From Bio-Tech to Tech-Bio: AI Meets Drug Discovery
E159 | Description to Decision: AI-Guided Recruitment Excellence
E158 | AI on Trial: Legal Implications for AI in Life Sciences
E157 | How AI is changing the landscape of disease prevention and diagnosis
E156 | How AI is revolutionizing personal consumer healthcare
E155 | Leveraging AI for Remote patient monitoring
E154 | Leveraging AI to Secure New Job Roles and Assisting HR Outplacement Services
E153 | Leveraging AI for content marketing
E152 | AI in learning and how it will impact the future of training
E151 | Advanced AI Content Strategy
E150 | Using AI as a Medical Assistant
E149 | Applying a financial AI lens to pharma
E148 | What is trustworthy AI and how do we achieve it?
E147 | Driving Healthcare Forward: Innovations in Diagnostics and How Investments Can Drive Better Patient Outcomes with Sam Libby of TCB Capital Advisors
E146 | How AI Can Tackle Disparities In Healthcare Access with Estenda Solutions' Richard Kedziora
E145 | How AI Is Revolutionising The Academic Publishing Process
E144 | Changing The Way Compliant Marketing Gets Done with SecureChek CEO Ilyssa Levins
E143 | How Artificial Intelligence Is Revolutionising Equitable Healthcare With Dr Rav Seeruthun
E142 | Is Your AI Gender-Biased? Pharma's Hidden Ethical Dilemma Revealed with Sandra Struebing
E141 | Cybersecurity for healthcare
E140 | How to leverage AI for better predictions leveraging the collective intelligence of groups
E139 | Leveraging Ai in pharma supply chain
E138 | Leveraging AI for Patient Care
E137 | Leveraging AI to assess the outcome of cancer therapies before treatment begins
E136 | Rescuing Failed Drug Projects: How Ignota's Explainable AI is Transforming Pharmaceuticals
E135 | The Role of Government in AI Regulation
E134 | The Role of AI in Disrupting Traditional Healthcare
E133 | How to Ensure a Stronger Supply Chain Leveraging AI
E132 | Leveraging AI to Protect Human Vocal Authenticity
E131 | Leveraging A Robotic Pill for Non-Invasive Access to the Body
E130 | Leveraging AI in Neuromarketing
E129 | Leveraging Wastewater and AI to Predict Population Health Threats
E128 | Leveraging AI for Early Disease Prediction
E127 | Who is using your face? Find out with AI
E126 | The impact of RAG and LLMs on data processing and decision-making
E125 | Using AI to power early detection and provide better treatments in oncology and cardiovascular care
E124 | How AI is being used to tackle global health challenges
E123 | How AI is driving improved clinical, patient, and economic outcomes
E122 | Encouraging AI Adoption in Teams
E121 | Predicting The Future With AI
E120 | Can Healthcare Be Made More Accessible and Affordable Through Innovation & Disruptive Thinking?
E119 | How to use AI for Visual Inspection and Traceability in Pharma Manufacturing
E118 | How To Use AI To Prevent Health Issues In Under Two Minutes
E117 | Bringing The Human Body Into The Digital World
E116 | How AI Is Unlocking Multi-Omics Data
E115 | How To Use AI To Increase Patient Adherence
E114 | The Next Evolution In Foundational Data Set For Biological AI
E113 | Using AI To Uncover Legal And Regulatory Risks
E112 | Game On For Blockbusters, Novel MOAs, And Practice-Changing Drugs: How AI Is Changing The Rules
E111 | The role of AI to create access to better mental health solutions
E110 | How Pharmacies can Leverage AI for Improved Accuracy and Speed
E109 | How AI is Enhancing HTA in Precision Oncology
E108 | Using AI to Assess Brain Health more accurately for CNS clinical trials
E107 | Navigating Governance, Risk, and the AI Landscape
E106 | How AI is preventing maternal and fetal death as well as complications during pregnancy
E105 | Are we already at the point of human–computer hybrids and brain cell powered computing?
E104 | How pharma can use AI for content compliance review
E103 | Using AI for cutting IND application time
E102 | How AI is being leveraged for addiction
E101 | Marketing in the Age of AI
E100 | How Pharma can manage risk with cybersecurity around AI
E99 | How to use AI to connect meaningfully with doctor and patients
E98 | How to Use Generative AI models effectively for marketing
E97 | Predictions about the future of Tech
E96 | How Generative AI and Web3.0 are revolutionizing the digital landscape
E95 | How pharma R&D can use AI to accelerate exploration, understanding, and insights
E94 | AI for forecasting
E93 | How to hyperscale your business with enterprise AI agents
E92 | How pharma can use AI to do hours worth of reading in minutes
E91 | The state of Ai in biopharma R&D, BD&L and Clinical Trials
E90 | How to use AI to redesign drugs to be faster, safer and more effective
E89 | How to Use AI quickly to engage HCPs and patients
E88 | AI in healthcare policy
E87 | How to use Artificial Intelligence to convert big data into actionable insights
E86 | How pharma can use AI to create accurate summaries of documents
E85 | Using AI for automating writing of CSRs
E84 | How to use AI to identify novel drivers of disease and then design novel molecules for those diseases in silico
E83 | Automating Strategic Literature Reviews with AI
E82 | How to get Artificial Intelligence to help you schedule your meetings effortlessly
E81 | The Future of Leadership and Innovation in Pharma
E80 | Your AI co-pilot on qualitative analysis
E79 | How to use Artificial Intelligence to Analyse Qualitative market research
E78 | How AI is leveraged in Diagnosing Endometriosis
E77 | AI and Longevity of Life
E76 | How to use AI to ensure patients safely take their medication
E75 | How to use AI-powered Tech to Communicate with your Brain Alone
E74 | How to use an AI Research Assistant for Deep Tech Innovators
E73 | How to use GPT text models effectively
E72 | Diversity including in Clinical Trials, and thoughts around AI
E71 | What pharma can learn from Jeff Bezos
E70 | Fake Data, AI, and How to Deal With It
E69 | Using AI for high-precision targeting on HCPs with impact
E68 | How to Avoid the Biggest Innovation Mistakes
E67 | How To Build An AI Solution With One Click
E66 | Using AI for personalized patient care
E65 | AI for Medical and Clinical Research
E64 | How AI is leveraged in FemTech and Women’s Health
E63 | Optimizing Oncology Drug Discovery and Development and Clinical with AI
E62 | Generative AI: Exploring the Possibilities of ChatGPT, DALL-E, and Midjourney in healthcare
E61 | AI Myths versus Reality
E60 | Where Is AI Going and What Will This Mean For Healthcare Models? A Physician's View
E59 | Predictions for Healthcare AI and Tech
E58 | How AI is Solving the Data Problem to Enable Precision Diagnostics
E57 | How to use AI for Drug Safety and Pharmacovigilance
E56 | AI and the Economic Singularity; Will AI Take All Our Jobs?
E55 | How to use AI to optimize your HCP ad tech to gain higher script lift
E54 | AI-Fuelled Innovation in HealthTech and Pharmaceuticals
E53 | How Tech and AI are Advancing Mental Health Innovation
E52 | AI in Pharma: Perfect Storm or Golden Opportunity?
E51 | Using AI to Create Exceptional Customer Experience
E50 | What is Augmented Reality All About?
E49 | How AI can Help in Making a Transformation more Successful
E48 | AI for drug discovery and development
E47 | The future of pharma - a provocative perspective
E46 | How AI is being used in Vaccine development
E45 | The Future of Pharma from a Pharma Insider Perspective
E44 | Digital First: what will it take for pharma to catch up?
E43 | How to Predict Cancer in People with No Symptoms
E42 | Robotics and Consciousness: How Close are we?
E41 | Examples of how Pharma can use AI
E40 | Using Artificial Intelligence to Transform Pharma
E39 | How to use AI and Tech to apply good decision making to medicines
E38 | Pharma’s tough pill to swallow
E37: How to Use Conversational AI Effectively in Pharma Sales and Marketing
E36: How To Use AI To Know If Your Drug Is Optimally Priced
E35: How Pharma Can Use AI to Personalize Learning and Development
E34: What are Digital Colleagues and how can they help Pharma?
E33: How to make good decisions when implementing NBA in pharma: How to Define NBA Implementation Success in Pharma
E32: How to make good decisions when implementing NBA in pharma: How to Design an NBA System for Global Scale
E31: How to make good decisions when implementing NBA in pharma: The Data Conundrum
E30: How pharma can use AI for intelligent literature monitoring
E29: How Pharma can reduce their cybersecurity risk
E28: How patient groups are advancing blockchain use and what pharma can learn
E27: How pharma can use AI to improve results in change management during digital transformation
E26: How pharma can use AI for generating deep real-world evidence for data-driven healthcare
E25: What is AI and How Can it Help Pharma grow?
E24: How to print drugs
E23: How AI can create the perfect background sounds to achieve specific aims
E22: How to use AI to get your competitors customers before they go to your competitor
E21: How AI is being used from existing CCTV footage to improve customer experience
E20: How to use digital humans for highly engaged storytelling
E19: How to use AI to create precision audience targeting
E18: How to use AI to know if your company reputation is strong and how to fix it if it is not
E17: How to optimize ad spend and reduce cost per acquisition in digital advertising
E16: How To Use AI For Recruitment To Achieve Black Diversity
E15: How To Comply With Data And Privacy Laws While Using Personal Data
E14: How to hire an intelligent agent to help you schedule your meetings effortlessly
E13: How to use AI to optimize your social media ads on Facebook, Twitter, Instagram, Tik Tok, and Google
E12: How to know if a company is ethical with its’ AI
E11: How to get consumer insights at scale in minutes with Artificial Intelligence
E10: How to use AI for recruitment best talent and diversity
E9: How to not let your emails control by you using Artificial Intelligence
E8: How to identify and understand your target customers with Artificial Intelligence
E7: How to automate and personalize your email newsletters with Artificial Intelligence
E6: How to replace your lawyer with AI
E5: How to map consumer behaviours with AI to drive growth
E4: How to automate and engage your sales and marketing leads with Artificial Intelligence
E3: How to optimize the language used in your marketing to boost results with AI
E2: How to use a digital human to grow your company faster
E1: How to Leverage Artificial Intelligence for Increasing Sales Call Results
Welcome to AI For Pharma Growth
TRAILER: AI For Pharma Growth