
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
Estimated from 4 chart positions in 4 markets.
By chart position
- 🇬🇧GB · Life Sciences#1995K to 30K
- 🇯🇵JP · Life Sciences#1231K to 10K
- 🇮🇱IL · Life Sciences#124500 to 3K
- 🇩🇰DK · Life Sciences#128500 to 3K
- Per-Episode Audience
Est. listeners per new episode within ~30 days
3.5K to 23K🎙 ~2x weekly·47 episodes·Last published 2w ago - Monthly Reach
Unique listeners across all episodes (30 days)
7K to 46K🇬🇧65%🇯🇵22%🇮🇱7%+1 more - Active Followers
Loyal subscribers who consistently listen
2.8K to 18K
Market Insights
Platform Distribution
Reach across major podcast platforms, updated hourly
Total Followers
—
Total Plays
—
Total Reviews
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* Data sourced directly from platform APIs and aggregated hourly across all major podcast directories.
On the show
From 10 epsHosts
Recent guests
Recent episodes
Lessons from Insmed’s Journey to an AI First Biotech
Jun 11, 2026
46m 23s
Human Accountability in an Agentic Pharma World
May 28, 2026
49m 05s
Making AI Transformations that Stick
May 14, 2026
53m 11s
Finding ROI from AI in the Mundane
Apr 9, 2026
46m 18s
A Pragmatic Path to AI-Enabled Commercial Operations
Mar 26, 2026
36m 41s
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| Date | Episode | Topics | Guests | Brands | Places | Keywords | Sponsor | Length | |
|---|---|---|---|---|---|---|---|---|---|
| 6/11/26 | ![]() Lessons from Insmed’s Journey to an AI First Biotech✨ | AI in biotechdrug development+3 | Chris Colucci | Insmed | — | AIbiotech+5 | — | 46m 23s | |
| 5/28/26 | ![]() Human Accountability in an Agentic Pharma World✨ | AI in pharmabiotech transformation+3 | Amrit Moola | Vertex | — | AIpharma+6 | — | 49m 05s | |
| 5/14/26 | ![]() Making AI Transformations that Stick✨ | AI transformationlife sciences+4 | Vikram Nair | Amneal Pharmaceuticals | — | AItransformation+5 | — | 53m 11s | |
| 4/9/26 | ![]() Finding ROI from AI in the Mundane✨ | AI in drug developmentclinical outsourcing+4 | Dennis Salotti | Jazz Pharmaceuticals | — | AIdrug company+5 | — | 46m 18s | |
| 3/26/26 | ![]() A Pragmatic Path to AI-Enabled Commercial Operations✨ | AI strategycommercial operations+4 | Manesh Naidu | Tris Pharma | — | AI adoptionpharma+4 | — | 36m 41s | |
| 3/12/26 | ![]() Reimagining Scientific Work in the Age of AI Agents✨ | AI in life sciencesdata strategy+3 | Shweta Maniar | Google Cloudbiopharma | — | AIlife sciences+5 | — | 47m 28s | |
| 2/26/26 | ![]() Orchestrating Scientists, Data, and AI to Discover New Drugs✨ | drug developmentAI in healthcare+3 | Scotch McClure | Maxwell Biosciences | — | AIdrug discovery+5 | — | 46m 11s | |
| 2/12/26 | ![]() Scaling Practical AI Across Commercial Teams✨ | AIdata analytics+3 | Drew McCormick | Eversana | — | AIdata+5 | — | 48m 55s | |
| 1/8/26 | ![]() Building an AI-Ready Biopharma Organization✨ | AI in biopharmagenerative AI+3 | Scott Cenci | Acadia Pharmaceuticals | — | AIbiopharma+5 | — | 54m 51s | |
| 12/24/25 | ![]() Automating Biopharma Workflows with AI and Robotics✨ | biopharmaAI+4 | Karthik Raman | Persist AI | — | biopharmaAI+6 | — | 37m 48s | |
Want analysis for the episodes below?Free for Pro Submit a request, we'll have your selected episodes analyzed within an hour. Free, at no cost to you, for Pro users. | |||||||||
| 12/11/25 | ![]() De-Risking Discovery and Improving the Success Rates of Drug Development with AI | Gabi Tarcic, vice president of product for Evogene, sits down with Srivatsan Nagaraja about applying AI to small molecule drug discovery, the cultural and operational changes required for researchers to adopt these tools, and how AI-driven platforms can improve the efficiency of pharma R&D. | 42m 03s | ||||||
| 11/26/25 | ![]() Agents of Change: Creating Regulatory Documents with AI | Anita Modi, CEO and founder of Peer AI, joins Srivatsan Nagaraja to discuss the transformative impact of agentic AI on document creation for pharmaceutical companies. She discusses the cultural challenges of integrating AI into a traditionally cautious industry, the need for change management, and why it’s critical to embed human judgment alongside machine intelligence. | 41m 41s | ||||||
| 11/13/25 | ![]() Redefining Biomarkers for Immune-Mediated Disease with AI | Ronel Veksler, co-founder and CEO of PromiseBio, sits down with Amar Drawid to discuss the company’s AI-enabled proteomics platform, and how post-translational modifications of proteins represent a new frontier for precision medicine in autoimmune diseases; and how AI is enabling deep profiling of the epiproteome for better disease subtyping, improved prediction of drug response, and more personalized therapeutic strategies. | 0m 01s | ||||||
| 10/23/25 | ![]() Driving Insights from Real World Oncology Data with AI | Aaron Cohen, Head of Research Oncology, Clinical Data for Flatiron Health, sits down with Amar Drawid to discuss Flatiron’s use of large language models to extract and analyze unstructured data from electronic health records. Cohen discusses how AI‑extracted data can replicate human‑curated outcomes across multiple cancer types, paving the way for faster, richer insights to guide both clinical decision‑making and drug development. | 3m 45s | ||||||
| 10/9/25 | ![]() Improving Drug Development with Real-World Data | Manfred Stapff, founder and principal of Candid Advisory, sits down with Amar Drawid to discuss the potential of real-world data to accelerate drug development and improve regulatory strategies. He discusses why real-world data can provide insights may miss, shed light on treatment effects once approved, and how it may one day reshape the drug approval process. | 1h 00m 44s | ||||||
| 9/25/25 | ![]() Navigating the AI Landscape in Clinical Development | Stephen Pyke, chief clinical data and digital officer at Parexel, sits down with Srivatsan Nagaraja to discuss the adoption of AI technologies in clinical development. He highlights the importance of workflow integration, the challenges of change management, and how to prepare organizations for an AI-driven future. | 47m 36s | ||||||
| 9/11/25 | ![]() Transforming Cancer Diagnostics and Care with AI | Mohan Uttarwar, CEO 1Cell.Ai, sits down with Amar Drawid to discuss how his company is transforming cancer diagnostics and care by combining cutting-edge molecular science with advanced AI. He talks about how the company’s single-cell multi-omics platform provides real-time, precision insights, enhances patient selection in clinical trials, and delivers actionable information for oncologists. | 59m 28s | ||||||
| 8/28/25 | ![]() Moving Beyond the Hype of AI in Biopharma | Amar Drawid, vice president and global head of data analytics, insights, and AI for BioNTech, sits down with Nagaraja Srivatsan to discuss the evolution, adoption, and challenges of AI in the biopharma sector. He discusses the real-world implementation challenges of generative AI, the iterative process of developing business solutions, and the necessity of effective change management for organizational adoption. | 43m 30s | ||||||
| 8/14/25 | ![]() Why AI’s Most Promising Near-Term Value Is in Clinical Operations | Dimitris Agrafiotis, director of digital analytics and AI at Arsenal Capital Partners sits down with Nagaraja Srivatsan to discuss the current state of AI in clinical trials, the potential for AI to streamline operations, and the importance of user experience and change management in driving adoption of the technology. | 49m 10s | ||||||
| 7/24/25 | ![]() Teaching the Biopharma Workforce to Coexist with AI | Sunil Talathi, senior director and head of data insights, data sciences, and analytics for BeOne Medicines; sits down with Nagaraja Srivatsan to discuss his experience implementing AI in a biopharmaceutical company. He discusses cost considerations, prompt engineering, and the need for collaboration between humans and AI systems. | 47m 03s | ||||||
| 7/14/25 | ![]() Making Clinical Trials More Predictable with AI | Craig Lipset, advisor and founder of Clinical Innovation Partners, sits down with Nagaraja Srivatsan to discuss how AI can bring greater predictability to clinical trials, how organizations can adopt the technology effectively, and the importance of having a culture of experimentation. | 41m 31s | ||||||
| 6/26/25 | ![]() Finding Healthcare Providers from Clinical Trials to War Zones | Ariel Katz, co-founder and CEO of H1, sits down with Amar Drawid to discuss how his company’s AI platform allows pharmaceutical companies to identify the right healthcare providers for their clinical trials, medical affairs, and commercial activities. He discusses the company’s unique datasets, the problem it solves for biopharmaceutical companies, and some unexpected ways the platform has been used. | 39m 56s | ||||||
| 6/12/25 | ![]() Driving Efficiency in Drug Development with AI | Venky Iyer, director of data strategy and automation at Pfizer, sits down with Nagaraja Srivatsan to discuss the transformative role of AI and machine learning in the pharmaceutical industry. They discuss Iyer’s journey in implementing AI solutions to enhance operational efficiency at Pfizer. They talk about the importance of engaging operational teams, managing change effectively, and focusing on the value of AI adoption in improving drug development processes. | 46m 57s | ||||||
| 5/29/25 | ![]() Improving Clinical Trial Designs with AI | Scott Chetham, co-founder and CEO of Faro Health, sits down with Amar Drawid to discuss how AI transforms clinical trial design and drug development. He talks about how AI can enhance patient selection, feasibility assessments, and protocol writing to accelerate drug development cost-effectively. | 57m 39s | ||||||
| 5/15/25 | ![]() Improving the Efficiency of the Pharma Workforce with AI | Kannan Natarajan, senior vice president at Pfizer, discusses the potential of generative AI to streamline pharmaceutical documentation processes and improve efficiency, what he’s learned about implementing AI solutions, and the cultural challenges of adopting new technologies. | 38m 02s | ||||||
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Chart Positions
4 placements across 4 markets.
Chart Positions
4 placements across 4 markets.
