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Do protein representations encode variant function? Diagnosing residue-level protein attributions via embedding-space gradients

A common workflow in protein engineering involves building fitness predictors on protein language models (pLMs) to estimate a variant's fitness and interpret which residues drive it. Attribution methods such as integrated gradients address this second goal by assigning residues contributions to the variant's predicted fitness. However, without ground truth for residue importance, it is unclear…

We haven't written up this one. bioRxiv has the full story — the link below goes straight to it.

Read the original at biorxiv.org →

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AI Detects Half of Lung Cancers Missed on Neck CT Scans, Highlighting New Opportunities for Medical Imaging

Artificial intelligence could help identify lung cancers overlooked during routine interpretation of CT scans performed for other medical purposes, according to a new study highlighting the potential…

  • AI software AVIEW LCS detects 51.3% of lung cancers missed in neck CT scans
  • Study analyzes 81,794 CT exams, finds 80 cancers not documented initially
  • AI uncovers additional diagnostic information without extra imaging exams

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