AI in Drug Discovery and Medicine

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https://www.mitcnc.org/events/ai-in-drug-discovery-and-medicine/

Artificial intelligence has the potential to transform healthcare, and some of the most exciting opportunities are being pursued by innovators to solve problems in drug development and medicine. Join us during the J.P. Morgan Healthcare Conference on the evening of January 15th, 2020, and meet leaders from  top startups in the space—you’ll have the opportunity to hear first-hand about how they’re using AI to develop novel molecules, improve high-throughput screening, optimize clinical trials, and enable unprecedented advances in precision medicine.

Participate and engage with founders, innovators, and hundreds of MIT alumni and their guests during the AI in Drug Discovery and Medicine startup showcase at First Republic Bank, One Front Street and 101 Pine Street, San Francisco.

This will be our third year hosting an event during JPM; our event last year showcased a wide variety of startups, including Health Linkages, Cogitativo, Multiply Labs, Kali Care, HeartFlow, twoXAR, Bay Labs, Grand Rounds, Oasis Labs, Syntekabio, Catalia Health, Bioage, Datavant, Lexigram, Kheiron Medical, Octave Bioscience, C. Light Technologies, Livongo, Doc.ai,  Protxx, and Apixio.

Details on 2020’s exhibitors are forthcoming—stay tuned! If you are interested in joining us to showcase your company in 2020, contact us soon, before the remaining slots are filled.

#MITCNC #MIT #AI #JPMorgan #Drug Discovery #Precision Medicine #Clinical Trials #High Throughput Screening

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Date and Time

Wednesday
January 15, 2020
06:00 PM – 09:00 PM PT

LOCATION
First Republic Bank
One Front Street
San Francisco, CA, 94111
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Registration

 MIT ALUMS

$79
MITCNC Members. Please log in for access to Registration Link

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General Admission

$129
General Admission

Event Information

Event Topic:
AI in Drug Discovery and Medicine

Event Description:

Date/Time:
Date(s) - 01/15/20
6:00 pm - 9:00 pm

Event Location:
NOVA - 505 West Olive Ave, Sunnyvale- Suite 799:

Event Details

Event Type