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Olfactory combinatorial coding supports risk–reward decision-making in <i>Caenorhabditis elegans</i>

Olfactory-driven behaviors are essential for animal survival, but mechanisms for decoding olfactory inputs remain poorly understood. We have used whole-network Ca 2+ imaging to study olfactory coding in Caenorhabditis elegans . We show that the odorant 1-octanol is encoded combinatorially in the periphery as both an attractant and a repellent. These inputs are integrated centrally, and their…

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

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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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