A new study applying multi-omics techniques and machine learning identified 33 plasma proteins that differ significantly in ...
Debate continues over the role of artificial intelligence in treating mental health conditions, but new research shows that machine learning models can help predict whether a person might benefit from ...
Rhinology, the specialized medical and scientific study of the nose and paranasal sinuses, represents a critical intersection ...
Health eCareers on MSN
The Future of Technology in Urology: What Physicians Need to Know
New technologies are at the forefront of modern medical care, and the field of urology is a leader in this area. From the evolution of robotic surgery techniques to the integration of artificial ...
A new Apple Watch feature passively analyzes optical heart sensor data during waking hours to flag 'possible hypertension' ...
A lot of people are amazed by what artificial intelligence can do. It reads scans. It filters resumes. It makes predictions about who might get sick next month. But the more it does, the more people ...
Consider what happened when parents discovered their children's artwork, shared on popular creative platforms, was being used to train image generators.
AZoRobotics on MSN
Artificial Intelligence and Acoustofluidics Accelerate Drug Discovery
Indiana University researchers are advancing biomedical research with AI-enhanced acoustofluidics, improving drug testing and ...
Success requires AI that is customized, regulated, hybrid in its data structure and grounded at the deepest levels of the ...
10 天on MSN
An AI tool is trying to predict your risk of getting many diseases years in advance— here ...
Being able to instantly and accurately predict the trajectory of a person's health in the years to come has long been seen as ...
Tech Xplore on MSN
AI poses risks to national security, elections and health care. Here's how to reduce them
Artificial intelligence has started to appear almost everywhere in our lives. We enjoy its benefits, such as the speedier ...
In oncology and cardiology, AI’s strength lies in deep learning techniques applied to imaging and genomic data. Convolutional ...
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