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Audience and activity

Subscribers632
Views per video141median of the last 30
Views per subscriber0.22how many actually watch
Comments per video0median
Uploads per month2.1
Last upload15d ago2026-10-02
Total views83.3K
Total videos269
Long-form / Shorts35% / 20%

Counts come from the YouTube Data API and are refreshed regularly; medians are computed from the channel's last 30 videos.

What Manuel Corpas makes

Topics genomics, artificial-intelligence, healthcare, precision-medicine, data-diversity

Dr Manuel Corpas is a Senior Lecturer in Genomics at the University of Westminster, Course Leader for the MSc in Artificial Intelligence and Digital Health, and Fellow of the Alan Turing Institute. He is also Chief Scientist and Founder of Cambridge Precision Medicine. His research focuses on genomic equity, data diversity, and AI-driven health solutions, with projects spanning Latin America, the UK Biobank, and global biobanking initiatives. He has authored over 80 peer-reviewed papers and a book, and regularly advises international organisations and funders on equitable data use in precision medicine.

Features other people

Recent videos

TitlePublishedViewsLength
Determinism is not truth #Shorts2026-10-16111 min
Capability is not outcome #Shorts2026-10-15261 min
We could read their genomes. We could not interpret them. #Shorts2026-10-14451 min
Research follows funding, not suffering #Shorts2026-10-0982 min
Neglect in research grows at every stage #ShortsShort2026-10-08211 min
An AI agent dosed 51 drugs from an empty genome file #Shorts2026-10-07221 min
Compounding Neglect: How AI Widens the Equity Gap in Psychiatric Genomics (WCPG 2026 keynote)2026-10-021839 min
29 September 20262026-09-29171 min
Can We Trust AI Agents in Genomics? | Manuel Corpas at the Crick | Full Talk + Q&A2026-09-2219556 min
Validated skills are necessary but not sufficient for trustworthy agentic genomics2026-09-1410134 min

Contact Manuel Corpas

Email none found in the channel description

YouTube youtube.com/@manuelcorpasgenome

Contacts come only from what the channel publishes — its description and linked website.

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