Pharma is drowning in AI pitches that all promise the same thing: faster, cheaper, smarter. Mimi Fenton thinks we're selling the wrong story.

Her bet? AI's biggest job in pharma isn't speed, it's access. Putting a clinical trial inside the doctor's office of a patient who would otherwise never see one.

In this episode of The Best AI Show on Pharma, host Ayush Mishra sits down with Mimi Fenton, epidemiologist, CEO of CEDAR Health Research and Aspen Insights, board advisor at Anervea.ai, ultra-marathoner, and (briefly) a charity boxer, to unpack what AI adoption in pharma actually looks like beyond the hype.

We get into:
→ Why pharma's AI adoption is still stuck in "pilot mode" while other industries race ahead
→ How an epidemiologist's lens changes the way you build AI for drug development
→ The real-world evidence project at Sanofi that saved ~$10M by replacing a prospective study with data
→ The 2018 ML model that predicted clinical trial success and matched the actual results
→ Aspen Forge: reading patient charts in seconds at 98% accuracy (and the "voluntary removal of uterus" story that proves why free-text notes matter)
→ AI as a "digital workforce", augmentation, not replacement and how to grow capacity 75% while keeping a flat org
→ Why patient trust still needs a human in the loop and whether the Alexa generation will feel the same in 20 years
→ Her #1 advice to founders building in this space: obsess over the end user
→ The biggest unsolved pain point at trial sites: 20+ logins and zero interoperability

Plus, boxing for Parkinson's, 100-mile ultras, and a no-filter rapid-fire round.
A must-watch for anyone in pharma, biotech, clinical research, and health-tech thinking seriously about where AI actually creates value.

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Most AI conversations in pharma start with the technology.

This one starts somewhere far more useful.

Victoria Gamerman joins Ayush Mishra on The Best AI Show on Pharma to challenge a belief almost everyone holds: that winning comes down to having the best AI. Her answer points to something the leaders racing for the latest model tend to overlook entirely.

If you've ever wondered why some AI investments compound and others quietly stall, start here.

Victoria Gamerman's LinkedIn: https://www.linkedin.com/in/victoriagk/
Ayush Mishra's LinkedIn: https://www.linkedin.com/in/ayushmishra/

Watch this episode now on YouTube: https://youtu.be/9bt5qJb3if4

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Every pharma company today says they're doing AI. But how much of it is actually real?

In this episode of The Best AI Show on Pharma with Ayush Mishra our guest is Dr. Neha Gupta who is a clinician, digital health product leader, and Ironman athlete and the one who has spent years building real digital products that have had to survive regulators, compliance frameworks, audits, and actual patients across multiple markets. She is one of the rare people who has seen healthcare from inside the clinic, inside the product team, and inside the pharma system.

You will hear insights on:

• Where AI is genuinely creating value inside pharma organizations today and where it quietly collapses
• Why AI confidence without calibration is one of the most dangerous problems in healthcare
• Why model accuracy and clinical trust are not the same number
• How real world evidence is being used to change what's possible in clinical trials and drug labeling
• Why 85% of AI pilots in pharma never move beyond the pilot stage
• What AI transformation in pharma actually demands from organizations beyond just technology
• The one space startup founders building for life sciences should be focused on right now
• Which global markets are leading healthcare AI innovation and why Brazil made this list
• The biggest lie the pharma industry tells itself about AI adoption

If you work in pharma, digital health, clinical operations, or life sciences technology, this conversation offers one of the most honest assessments of where AI in pharma actually stands today.

Dr. Neha Gupta's LinkedIn: https://www.linkedin.com/in/drnehagupta/

Ayush Mishra's LinkedIn: https://www.linkedin.com/in/ayushmishra/

Watch this episode now on YouTube: https://youtu.be/kDG4VpM8kfo

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