Miner School of Computer & Information Sciences, invites you to attend a doctoral dissertation defense by Alimire Nabijiang titled, "Deep Learning Pipelines for Polyp Size Estimation and Monocular ...
Autonomous vehicles require object detection systems to navigate traffic and avoid obstacles on the road. However, current detection methods often suffer from diminished detection capabilities due to ...
David Baker, Nobel Prize laureate and UW biochemistry professor, detailed the design and applications of new proteins using ...
Deep-learning technology developed by a team of Johns Hopkins engineers and cancer researchers can accurately predict cancer-related protein fragments that may trigger an immune system response. If ...
Researchers at the University of Toronto have developed a deep-learning model, called PepFlow, that can predict all possible shapes of peptides – chains of amino acids that are shorter than proteins, ...
The deep learning algorithm could enable transportation companies to provide personalized safety instructions for drivers, helping reduce the number of accidents, inform the development of optimal ...
OAK BROOK, Ill. – Researchers have developed a new, interpretable artificial intelligence (AI) model to predict 5-year breast cancer risk from mammograms, according to a new study published today in ...
New AI model demonstrates high accuracy for predicting immune checkpoint inhibitor (ICI) responsiveness by integrating tumor MSI status with stroma-to-tumor ratio Cancer remains one of the most ...
Cancer cells that initiate metastasis, or the spread of the disease from its primary location, are different from cancer cells that stay in the original tumor. Distinguishing metastasis-initiating ...
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