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.
Statistics & Data Science
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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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boyd, Vashistha, and Wang named to 2026 cohort of Non-Resident Fellows Program of Center for Democracy and Technology
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Cornell Bowers awards honor exemplary faculty and staff
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Bunea, pioneering statistical theorist, receives IMS Medallion Award
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