Google DeepMind 協助科學家利用 Co-Scientist 尋找新興傳染病的「分子開關」
Original: Finding the molecular switches behind new infectious diseases
Google DeepMind has recently shared real-world application cases for its AI system "Co-Scientist" in the biomedical field. Professor Clare…
劍橋大學教授 Clare Bryant 正在使用 Google DeepMind 的 AI 系統「Co-Scientist」進行前沿醫學研究。該研究旨在識別新興傳染病中的「分子開關」（基因觸發因素），以了解病原體如何引發體內免疫反應。透過 AI 的協作，科學家能夠更快速地篩選複雜的基因數據，為未來應對大流行病和開發新療法提供關鍵線索。
Google DeepMind has recently shared real-world application cases for its AI system "Co-Scientist" in the biomedical field. Professor Clare Bryant, a leading authority on innate immunity and infectious diseases at the University of Cambridge, is currently using this AI assistant to accelerate her search for the "molecular switches" underlying emerging infectious diseases.
Free shows the 3-line summary; Pro unlocks the full deep summary (~300 words) so you never have to click through.
See Pro plans →Want the original English / full article?
Read on Google DeepMind Blog →Summaries are AI-generated; the original article is authoritative.