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Seeing thyroid cancer in a new light: When AI meets label-free imaging in the operating room
Thyroid cancer is the most common endocrine cancer, affecting more people each year as detection rates continue to rise.
News-Medical.Net on MSN
AI-powered optical imaging helps surgeons identify thyroid cancer in real time
Thyroid cancer is the most common endocrine cancer, affecting more people each year as detection rates continue to rise.
In a significant move aimed at strengthening regulatory clarity for cancer related medical technologies, the Central Drugs ...
For the last three years, the world has obsessed over generative AI that can write and create. By the end of 2026, we'll see ...
Their award-winning projects in the prestigious competition cover topics in the sciences, engineering, social sciences and ...
Morning Overview on MSN
Stanford AI can flag disease risk after just 1 night of sleep
Stanford researchers say a single night in a sleep lab may soon double as a full‑body health scan, with artificial ...
A large-scale international study, led by researchers from the Gray Faculty of Medical and Health Sciences at Tel Aviv ...
Space.com on MSNOpinion
Can scientists detect life without knowing what it looks like? Research using machine learning offers a new way
If nonliving materials can produce rich, organized mixtures of organic molecules, then the traditional signs we use to ...
A new AI model designs peptides (short proteins) that are targeted by enzymes called proteases, which are overactive in cancer cells. Nanoparticles coated with these peptides can act as sensors that ...
News-Medical.Net on MSN
AI-designed molecular sensors could enable early detection of cancer
Detecting cancer in the earliest stages could dramatically reduce cancer deaths because cancers are usually easier to treat when caught early.
A breakthrough study from Keck Medicine of USC may have found a powerful new triple therapy for glioblastoma, one of the deadliest brain cancers. By combining Tumor Treating Fields (TTFields), which ...
Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...
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