Traditional breeding and genetic modification methods have struggled to keep pace with the rapid evolution of plant viruses.
Interestingly, while only 16% of oncology researchers reported using AI in biomarker detection and assessment at the time of ...
A machine learning–driven web tool based on 13 standard patient metrics demonstrates strong predictive performance for MASLD, ...
News-Medical.Net on MSN
AI algorithm proves more accurate than experts in glaucoma detection
While artificial intelligence (AI)-powered screening has been validated for diabetic retinopathy, applying the technology to glaucoma has proved more challenging because glaucoma is not one disease. A ...
The Times of Israel on MSN
Blood test 95% accurate in spotting suicide risk in bipolar patients, says Israeli scientist
University of Haifa researcher says her team's AI model spots biomarkers in white blood cells; test could help monitor ...
In a groundbreaking development for genetic healthcare, researchers at Lovely Professional University (LPU) have unveiled a smart biosensor that promises to detect Huntington's disease (HD) at an ...
An estimated 100 million people live with facial differences. As face recognition tech becomes widespread, some say they’re ...
The researcher’s algorithim can spot if a person with Bipolar Disorder is at high risk of suicide based on physical differences in their genetic makeup.
A research team has reviewed how machine learning (ML) is revolutionizing fermentation design and process optimization by ...
The effectiveness of eye-tracking technology in identifying people who have a genetic tendency to Alzheimer's disease, years ...
The images were film-based, and subtle early signs of cancer could have been missed. Today, the same woman undergoes a ...
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