AI upskilling for healthcare and pharma teams

AI upskilling for healthcare and pharma teams

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What participants post publicly

No polished testimonial deck, just real posts published right after the hackathons.

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AI upskilling for healthcare and pharma teams built around real regulatory constraints

AI upskilling for healthcare and pharma works when your medical affairs, regulatory, and commercial teams build against the documents and constraints they already navigate daily. In a AI hackathon your team solves real problems: a literature-review assistant that summarises clinical papers against a defined question, a regulatory-submission checklist tool that flags gaps against a filing template, or an internal medical-information bot that answers field questions from approved labeling and reference documents. In just 1 week, from our first call to a prototype your team built with AI, you get something running on your own documentation, inside your existing data governance. Every hackathon leaves you with a working prototype and an internal AI literacy measures record, which matters directly for a sector already carrying heavy regulatory scrutiny.

What healthcare and pharma teams build

  • A literature-review assistant that summarises clinical papers against a defined research question

  • A regulatory-submission checklist tool that flags gaps against a filing template

  • An internal medical-information bot answering field questions from approved labeling

  • A patient-facing FAQ drafting tool reviewed and approved by medical affairs before use

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Ready for your first prototype?

Start with one team. In one week you leave with skills, shipped output and momentum.

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Public voices

Participants write on LinkedIn

Excerpts from public LinkedIn posts.

For me it was seeing people who've never touched Lovable or Cursor spin up a working AI tool in 24 hours.
Marie KlamerCreative Strategy Lead, YOYABA
24 hours, lots of ideas, not that much sleep... and somehow we turned it into a working product.
Lisa KralCreative Strategist, YOYABA
By the end of day one, people who had never touched a terminal were working in Claude Code and building solutions of their own.
Okechukwu UkaigweB2B Marketing Leader, NavVis

Book a slot

Ready to turn learning into working prototypes?

Start with one team. In one week, leave with practical skills, shipped output and momentum. Just pick a free slot below.

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FAQ

Frequently asked questions

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