Life Sciences DNA Podcast

Levine Media Group

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In their own words

The Life Sciences D’n’A podcast is hosted by Dr. Amar Drawid, an industry veteran who has worked in data science leadership with top biopharmaceutical companies. He explores the evolving use of AI and data science with innovators working to reshape all aspects of the biopharmaceutical industry from the way new therapeutics are discovered to how they are marketed.

As heard by us

Based on 4 episodes we listened to · September 2026

It makes pharmaceutical AI legible by tracing each ambition back to data foundations, compliance constraints and practical workflows.

Life Sciences DNA Podcast keeps returning to a practical question: what does it take to move AI from a promising demonstration into everyday pharmaceutical work? Its interviews examine that process through data infrastructure, organizational governance and commercial operations.

Read our full review in PlayNext →

Why you'd press play

Even a lunch sign-in sheet is fair game when you ask what pharma AI could actually fix.

Press play if you want

  • to hear why scattered clinical data can stall an AI rollout before the clever part starts
  • commercial AI ideas tested against compliance checks and people who know the work
Read the full recommendation in PlayNext →

Talks about

Best episodes of Life Sciences DNA Podcast

Short reviews from the PlayNext desk, based on the episodes we processed.

Automating Biopharma Workflows with AI and RoboticsDec 24, 2025

A grounded look at audit trails, adoption hurdles, and bench-work tradeoffs in robotic drug formulation.

Automating biopharma workflows looks at a practical shift: drug formulation work moving from the scientist's bench into a cloud-based robotic lab.

Agents of Change: Creating Regulatory Documents with AINov 26, 2025

A grounded look at agentic AI in regulatory workflows without handing off judgment.

Regulatory document work is the useful proving ground here. Anita Modi, co-founder and CEO of Pure AI, describes agentic systems built from specialized agents and human oversight to draft clinical study reports, INDs, protocols, and submission documents.

Improving Drug Development with Real-World DataOct 9, 2025

A practical look at real-world data's value, limits, and continued need for medical judgment.

Real-world data enters this drug-development discussion as a practical counterweight to the tidy structure of randomized clinical trials. Manford, speaking from both medical and pharmaceutical experience, makes the case for retrospective data that can avoid patient recruitment…

Navigating the AI Landscape in Clinical DevelopmentSep 25, 2025

A grounded look at making AI adoption work inside clinical development.

AI in clinical development comes through here as an operational change effort with technical weight behind it. In a conversation with Steven Pike, Chief Data and Digital Officer at Patexel, the host stays close to the work of adoption: identifying super users who understand both…

Transforming Cancer Diagnostics and Care with AISep 11, 2025

A clear, grounded review of adaptive cancer testing and its path from precision oncology research toward clinical use.

This single-episode review frames cancer diagnostics as something that has to keep up with the disease, not just name it once. Mohan Uttar, co-founder and CEO of OneCell.ai, is presented making the case for AI and single-cell analytics as a way to build a more current tumor…

Scaling Practical AI Across Commercial Teams

A measured look at how AI becomes usable only after compliance, experts, and workflow all line up.

This episode stays close to the practical side of AI at Eversana, where the real question is not whether a model sounds impressive but whether it can survive a regulated life sciences environment.

A Pragmatic Path to AI-Enabled Commercial Operations

A practical look at AI in commercial pharma, focused on making routine workflows less manual.

Manesh Naidoo and Daniel Levine keep the focus on a straightforward question: how AI can help a small pharmaceutical commercial team work better.

Reimagining Scientific Work in the Age of AI Agents

A practical look at why life sciences AI starts with data plumbing, not model spectacle.

This episode spends more time on the plumbing than the pitch, and that feels right. Shweta Maniar, presented as a global strategy and market leader for life sciences at Google Cloud, walks through data fragmentation, legacy systems, and the work needed to build something usable…

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Episodes

  1. 1

    A Pragmatic Path to AI-Enabled Commercial Operations

    Hidden gem

    Chief Commercial Officer Manesh Naidoo of Tris Pharma discusses practical AI implementation strategies for small pharmaceutical companies, covering sales force optimization, contract compliance, CRM enhancements, and risk mitigation approaches in commercial operations.

    ·37m·4 clips
  2. 2

    Finding ROI from AI in the Mundane

    ·46m
  3. 3

    Building an AI-Ready Biopharma Organization

    Hidden gem

    Scott Sensi, Chief Information and Data Officer at Arcadia Pharmaceuticals, discusses implementing AI across the drug development continuum, from medical writing transformation to change management strategies and future agentic AI applications in biopharma.

    ·55m·5 clips
  4. 4

    Reimagining Scientific Work in the Age of AI Agents

    Hidden gem

    Google Cloud's Shweta Maniar discusses how AI is transforming life sciences, from reducing regulatory task time by 70% to helping scientists move from data reconciliation to high-value strategy.

    ·47m·4 clips
  5. 5

    Orchestrating Scientists, Data, and AI to Discover New Drugs

    Hidden gem

    ["Scotch McCoy says Maxwell Biosciences started in January 2016 to use AI to narrow human plasma from about 100,000 proteins to the 3% of peptides that circulate outside cells.", "The company centered on LL37, the number-three longevity-correlated peptide, and McCoy says it licensed patents from Annalise Barron and other inventors after a settlement over ownership.", "He says a 160,000-peptide antimicrobial set was normalized to about 11,000 records, a model reached 90% toxicity-prediction accuracy, and Indian ICMR primate studies cleared MRSA and multidrug-resistant Candida albicans in three days.", "The episode also covers SHU, a \"structured heuristic understanding rag database,\" the idea of AI as the company\u2019s coordinating hub, and plans to extend the platform to antivirals, antifungals, GLP-1-like targets, and BDNF mimics."]

    ·46m·3 clips
  6. 6

    Scaling Practical AI Across Commercial Teams

    Hidden gem

    Drew McCormick, head of data and analytics at Eversana, shares a practical blueprint for scaling AI across commercial life sciences teams.

    ·49m·4 clips
  7. 7

    Automating Biopharma Workflows with AI and Robotics

    Hidden gem

    Kartik Raman, CEO and co-founder of Persist AI, describes replacing manual pharmaceutical formulation workflows with cloud laboratories, robotics, and AI-assisted experimentation.

    Dec 24, 2025·38m·2 clips
  8. 8

    De-Risking Discovery and Improving the Success Rates of Drug Development with AI

    Dec 11, 2025·42m
  9. 9

    Agents of Change: Creating Regulatory Documents with AI

    Hidden gem

    Life Sciences DNA hosts Sri and Danny interview Anita Modi, CEO and founder of Peer AI, about using agentic AI to create clinical and regulatory documents.

    Nov 26, 2025·42m·2 clips
  10. 10

    Redefining Biomarkers for Immune-Mediated Disease with AI

    Nov 13, 2025·0m
  11. 11

    Driving Insights from Real World Oncology Data with AI

    Oct 23, 2025·4m
  12. 12

    Improving Drug Development with Real-World Data

    Hidden gem

    The Life Sciences DNA Podcast examines how Manfred Staff applies real-world data and AI to drug development, regulation, and healthcare decisions.

    Oct 9, 2025·1h 1m·4 clips
  13. 13

    Navigating the AI Landscape in Clinical Development

    Hidden gem

    Life Sciences DNA Podcast interviews Steven Pike, Patexel's Chief Data and Digital Officer, about adopting AI across clinical development.

    Sep 25, 2025·48m·3 clips
  14. 14

    Transforming Cancer Diagnostics and Care with AI

    Hidden gem

    Life Sciences DNA Podcast interviews Mohan Uttar, co-founder and CEO of OneCell.ai, about using AI, liquid biopsy, and single-cell analytics in cancer diagnostics and therapy development.

    Sep 11, 2025·59m·5 clips
  15. 15

    Moving Beyond the Hype of AI in Biopharma

    Life Sciences DNA Podcast examines how Amar Drawood separates rules-based automation, predictive machine learning, and generative AI across biopharma.

    Aug 28, 2025·44m·2 clips
  16. 16

    Why AI’s Most Promising Near-Term Value Is in Clinical Operations

    Aug 14, 2025·49m
  17. 17

    Teaching the Biopharma Workforce to Coexist with AI

    Jul 24, 2025·47m
  18. 18

    Making Clinical Trials More Predictable with AI

    Jul 14, 2025·42m
  19. 19

    Finding Healthcare Providers from Clinical Trials to War Zones

    Jun 26, 2025·40m
  20. 20

    Driving Efficiency in Drug Development with AI

    Jun 12, 2025·47m
  21. 21

    Improving Clinical Trial Designs with AI

    May 29, 2025·58m
  22. 22

    Improving the Efficiency of the Pharma Workforce with AI

    May 15, 2025·38m
  23. 23

    Navigating AI Implementation in Pharma

    Apr 24, 2025·43m
  24. 24

    Transforming Cancer Care in India with AI

    Apr 10, 2025·36m
  25. 25

    Navigating the Challenges of Integrating AI in Clinical Development

    Mar 27, 2025·40m
  26. 26

    Leveraging AI in Clinical Development

    Mar 13, 2025·38m
  27. 27

    Integrating AI into Precision Medicine

    Feb 27, 2025·39m
  28. 28

    Transforming Clinical Development with AI

    Feb 13, 2025·35m
  29. 29

    Generating Proteins Nature Never Imagined

    Dec 12, 2024·1h 6m
  30. 30

    Why Data Strategy Must Be Tied to Business Outcomes

    Nov 27, 2024·59m
  31. 31

    Biopharma Companies Wrestle with an Outsized Demand for AI Talent

    Nov 14, 2024·49m
  32. 32

    Using AI and Synthetic Biology to Go Where Antibody Therapies Can’t

    Oct 24, 2024·58m
  33. 33

    Unlocking Market Access with AI

    Oct 10, 2024·54m
  34. 34

    Ensuring Successful Implementation of AI

    Oct 3, 2024·53m
  35. 35

    Tackling the New Bottleneck of Drug Discovery

    Sep 12, 2024·57m
  36. 36

    Swimming in the Deep End of AI

    Aug 22, 2024·59m
  37. 37

    Using AI to Make Biology Easier to Engineer

    Jul 25, 2024·54m
  38. 38

    How AI ls Reshaping the Future of Healthcare

    Jun 27, 2024·1h
  39. 39

    A Venture Studio with Big Pharma Backing Seeks to Fix Drug Development with AI

    Jun 13, 2024·1h 4m
  40. 40

    Decoding the Immune System to Optimize Immunotherapies

    May 30, 2024·1h 1m
  41. 41

    Bringing Precision Medicine to Mental Health with AI

    May 9, 2024·58m
  42. 42

    The Power and Peril of Generative AI in Biopharma and Healthcare

    Apr 25, 2024·52m
  43. 43

    Unlocking the Complexity of Disease with Transomics and AI

    Apr 11, 2024·47m
  44. 44

    Why Biopharma Companies Should Recognize Data Analytics and AI as Strategic Advantages

    Mar 28, 2024·52m
  45. 45

    Making Undruggable Targets a Thing of the Past

    Mar 14, 2024·50m
  46. 46

    Using AI to Revolutionize Precision Oncology

    Feb 22, 2024·42m
  47. 47

    Leveraging Data Analytics to Enhance Biopharma Sales

    Jan 31, 2024·40m