Machine learning redesigns microscopic web sensors to be five times more flexible than nature-inspired versions, enabling detection of masses as small as trillionths of a gram.
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Moffitt researchers develop algorithm to predict cancer cell evolution
Researchers at Moffitt Cancer Center have developed a new tool to predict how cancer cells evolve. By focusing on chromosome ...
Euan Ashley's lab explores the intricate interactions of gene variants. Tiny "typos," or genetic mutations, can sneak into segments of DNA. Many of these are harmless, but some can cause health ...
When it comes to powering aircraft, jet engines need dense, energy-packed fuels. Right now, nearly all of that fuel comes ...
When scientists sequence tumor DNA, they typically find small amounts of genetic code from bacteria, viruses and fungi—microorganisms that—if actually present in tumor tissues—could influence how they ...
In A Nutshell Harvard researchers developed BrainIAC, a single AI model that can be adapted to analyze brain scans for ...
Engineered DNA can store massive amounts of data while also encrypting it, opening the door to ultra-secure, long-term ...
AI systems in hospitals and research facilities are processing genetic data, scans and lab results at a level that is ...
Discover how researchers are overcoming the limitations of the undruggable target in drug discovery using novel approaches ...
After training, the model achieved an accuracy of nearly 80% in predicting the occurrence of metastases and recurrence of colon cancer, a result far superior to existing tools. In addition, signatures ...
There’s no doubt that large language models and generative AI tools have taken the world by storm. Their ability to create, ...
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