Telling the difference between benign and cancerous thyroid nodules before surgery is notoriously challenging, but a new study finds that a combination of artificial intelligence and data analysis techniques may yield surprisingly accurate cancer predictions.
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New method explores dormancy in TB, other organisms
Tuberculosis is the world’s deadliest infectious disease, in part due to its ability to hide out for years in the lungs before starting an infection. Now, a new computational method developed by researchers at Cornell sheds light on how going dormant – sometimes for multiple generations – has affected the evolution of the tuberculosis bacterium (Mtb) and other organisms that can temporarily drop out of the gene pool.
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$7M grant from NASA, Schmidt Sciences to upgrade arXiv
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$10M gift to Cornell Bowers supports AI advancement
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Cornell Bowers Newsletter - November 2025
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$7M grant from NASA, Schmidt Sciences to upgrade arXiv
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Cornell Bowers Newsletter - November 2025
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Cornell Chronicle
Three new Thought Summits to explore AI and data science frontiers
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