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AI for Mammography Reveals Its Decision-Making Process To Aid Physicians

A team has designed an artificial intelligence platform to analyze potentially cancerous lesions in mammography scans to determine if a patient should receive an invasive biopsy. The new algorithm is interpretable, meaning it shows physicians exactly how it came to its conclusions.

Nat-mach-intell
Cynthia-rudin
Alina-barnett
Duke-university-health-system
Duke-university
Nature-machine
Duke-university-health
High-risk-impact-award
Fides-schwartz
Nat-mach

Computational Tool Helps Find Molecules With COVID-19-Fighting Properties

Read Time: A year into the COVID-19 pandemic, mass vaccinations have begun to raise the tantalizing prospect of herd immunity that eventually curtails or halts the spread of SARS-CoV-2. But what if herd immunity is never fully achieved - or if the mutating virus gives rise to hyper-virulent variants that diminish the benefits of vaccination? Those questions underscore the need for effective treatments for people who continue to fall ill with the coronavirus. While a few existing drugs show some benefit, there s a pressing need to find new therapeutics. Led by The University of New Mexico s Tudor Oprea, MD, PhD, scientists have created a unique tool to help drug researchers quickly identify molecules capable of disarming the virus before it invades human cells or disabling it in the early stages of the infection.

Texas
United-states
Nat-mach-intell
Suman-sirimulla
School-of-medicine
Translational-informatics-division
National-center
University-of-new-mexico-tudor-oprea
University-of-texas-at-el-paso
Translational-sciences
New-mexico
Tudor-oprea

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