Annotating regions of interest in medical images, a process known as segmentation, is often one of the first steps clinical ...
Explore how machine learning is revolutionising interstitial lung disease management, enhancing early diagnosis, treatment, ...
News-Medical.Net on MSN
New AI system streamlines segmentation of biomedical images
Annotating regions of interest in medical images, a process known as segmentation, is often one of the first steps clinical ...
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 ...
2don MSN
Machine learning and cell imaging combine to predict effectiveness of multiple sclerosis medication
Brazilian researchers, in partnership with French institutions, have developed a tool that can predict how patients will respond to natalizumab, one of the most commonly used drugs for treating ...
MIT researchers developed an AI tool, MultiverSeg, to simplify the annotation of medical images for clinical research.
Harvard Medical School affiliated researchers recently revealed a new technique to help doctors detect head and neck cancers ...
Data science is sometimes described as a diverse field. It differs from data analytics in that it calls for domain ...
News-Medical.Net on MSN
Wearable device uses AI and bioelectronics to personalize wound therapy
As a wound heals, it goes through several stages: clotting to stop bleeding, immune system response, scabbing, and scarring.
PanCAN Chief Scientific & Medical Officer Dr. Anna Berkenblit speaks with PanCAN’s Chief Business Officer, Sudheer Doss, PhD, ...
The rapid growth of nanomedical trials calls for a unified lexicon to support clinical translation and foster collaboration ...
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