AI case study

Harvard Medical SchoolProtein interaction discovery

Mapping interactions took years. A custom AI pipeline analyzed 1.7M predictions in 3 months, finding 40,000 high-confidence pairs.

Published|3 weeks ago

Key results

Project Timeline
3 months
vs years of manual work
Protein Predictions
1.7M
Interactions Identified
40k

Result highlights

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The story

Context

A research laboratory at a prominent medical school aimed to map the human proteome, consisting of 20,000 proteins and potentially one million complex interactions.

Challenge

Manually determining protein structures previously took years, creating a bottleneck for understanding disease mechanisms. While AI tools like...

Solution
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Quotes

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The company

Harvard Medical School logo

Harvard Medical School

hms.harvard.edu

Graduate medical school and center for biomedical research.

IndustryPharmaceuticals & Biotech
LocationBoston, MA, USA
Employees10K-50K

The AI provider

NVIDIA is a technology company that specializes in semiconductors, graphics processing units, and artificial intelligence for applications in data centers, gaming, and more.

IndustryTechnology
LocationSanta Clara, California, United States
Employees10K-50K
Founded1993

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