Escaping our own biases: AI, scientific reasoning, and discovery in molecular biology
File(s)
Accepted version
Author(s)
Costa, Tiago RD
Penadés, José R
Type
Journal Article
Abstract
Artificial intelligence may transform molecular biology not by always providing the correct answer, but by
exploring mechanistic possibilities unconstrained by the assumptions that shape expert thinking. Its greatest
contribution may be exposing the intellectual blind spots of scientists, while experimental validation remains
the ultimate arbiter of truth.
exploring mechanistic possibilities unconstrained by the assumptions that shape expert thinking. Its greatest
contribution may be exposing the intellectual blind spots of scientists, while experimental validation remains
the ultimate arbiter of truth.
Date Issued
2026-07
Date Acceptance
2026-07-01
Citation
Molecular Cell, 2026
ISSN
1097-2765
Publisher
Elsevier BV
Start Page
S1097-2765(26)00466-1
Journal / Book Title
Molecular Cell
Copyright Statement
Copyright © 2026 Published by Elsevier Inc. This is the author’s accepted manuscript made available under a CC-BY licence in accordance with Imperial’s Research Publications Open Access policy (www.imperial.ac.uk/oa-policy)
License URL
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/42532040
PII: S1097-2765(26)00466-1
Publication Status
Published
Coverage Spatial
United States
Date Publish Online
2026-07-30