AI advances in drug and medicine development
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weatheriscool
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firestar464
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Re: AI advances in drug and medicine development
AI learns from the tree of life to support rare disease diagnosis
https://medicalxpress.com/news/2025-11- ... sease.html
https://medicalxpress.com/news/2025-11- ... sease.html
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weatheriscool
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weatheriscool
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weatheriscool
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firestar464
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firestar464
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Re: AI advances in drug and medicine development
Deep-learning algorithms enhance mutation detection in cancer and RNA sequencing
https://medicalxpress.com/news/2026-01- ... r-rna.html
https://medicalxpress.com/news/2026-01- ... r-rna.html
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Re: AI advances in drug and medicine development
Failed experiment leads to surprise drug development breakthrough
https://phys.org/news/2026-03-drug-breakthrough.html

https://phys.org/news/2026-03-drug-breakthrough.html
At first, the unusual product appeared to be a mistake. Instead of discarding it, the team decided to understand what it meant. Reisner said the breakthrough depended not just on chemistry, but on judgment.
"Recognizing the value in the unexpected is probably one of the key characteristics of a successful scientist," he said.
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Re: AI advances in drug and medicine development
America's Largest Hospital System Ready to Start Replacing Radiologists With AI, Its CEO Says
Source: Futurisn
Source: Futurisn
Read more: https://futurism.com/artificial-intelli ... -radiology
Just weeks after the largest nurses strike in the New York City history, the CEO of NYC Health and Hospitals has a bold vision for a future where AI, not human radiologists, examines and diagnoses X-rays.
At a panel held by Crain’s New York Business, Mitchell Katz, president and CEO of New York’s 11-hospital public benefit corporation, made overt gestures at his desire to replace highly trained radiology experts with visual language AI models, Radiology Business reported.
“We could replace a great deal of radiologists with AI at this moment, if we are ready to do the regulatory challenge,” Katz said at the panel.
One example he gave, according to Radiology, would affect women’s healthcare in particular, by automating breast cancer screening with AI tools. By sidelining radiologists until an AI system flags a reading as abnormal, Katz declared, hospitals could achieve “major savings.”
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