What does it take to win €5 million to build open-source AI for global health?
In this episode, I sit down with David Shaikh — founder of Sherwood Sciences — to unpack how he secured major European funding to build an AI-powered app designed to help frontline health workers diagnose neglected tropical skin diseases across Sub-Saharan Africa.
We go deep into:
• Why the hardest part of AI isn’t the model — it’s the data
• Building the largest skin NTD dataset ever collected
• Bias in medical AI and why skin tone matters
• Why this project is fully open-source
• What it really means to build an “impact startup”
• Why raising VC isn’t always the right move
• Entrepreneurship, rejection, delusion, and betting on yourself
This isn’t about AI replacing doctors.
It’s about giving healthcare workers leverage — in regions where there is one dermatologist for millions of people.
We also explore the philosophical side of building: how to handle failure, how to think about money vs impact, and why your 20s are for exploration — not pressure.
If you’re interested in AI, global health, startups, or building something that actually matters — this one’s for you.