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Biotech Open Pitch Session
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Biotech Open Pitch Session

Friday 6 November 2026, 09:30

Venue time (Los Angeles)

Frances C. Arrillaga Alumni Center · Directions

Friday 6 November 2026, 09:30Venue time (Los Angeles)
Frances C. Arrillaga Alumni CenterDirections
FreeTickets sold by luma.com
Book · Freevia luma.com
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Downloads an .ics file · Times are in America/Los_Angeles · Google Calendar

Hey, how's it going? Biotech Open Pitch Session looks like it should be pretty interesting. Want me to help you organise around it?

Event details

Tickets sold by luma.com

Add to calendar · Downloads an .ics file · Times are in America/Los_Angeles · Google Calendar

Come hear what’s next in biotech. At this open pitch session, Stanford student and alumni founders will share early-stage biotech and science-driven ideas with each other, invited investors, and the broader community. Designed as a collaborative forum, the session offers founders the chance to test-drive their pitches, get feedback from the audience, and recruit potential teammates or advisors. Whether you’re a founder, scientist, or investor, it’s an opportunity to engage directly with bold ideas at their earliest stages.

For those interested in pitching, complete this form

For inquiries, please reach out to [email protected] or [email protected]

This morning event will be followed by an afternoon session by our cohosts, Stanford eWear: Entrepreneurs in Med Tech at the intersection with AI and Deep Tech will compete for a $25,000 prize.  Attend to meet early career entrepreneurs with innovations related to brain-computer interfaces, longevity, precision health, and robotics. Learn more about compelling start-ups in the Demo Showcase, and network with investors.

Register for the afternoon session separately through this registration link: https://ewearhealthprize.stanford.edu/

Non-Stanford affiliated guests attending the Stanford Founders morning event can register at https://ewearhealthprize.stanford.edu/ with code 26ewearedu.

Deep Tech and AI for the Medical/Health Sector with brain-machine interfaces, longevity, precision health, wearables, or robotics.

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