A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
Vaccination is one of the greatest achievements in immunology and medicine, nearly eradicating many infectious diseases that ...
Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...
Rules-based automation (RBA) and learning are two training mechanisms in robotics. While there are many others, these are two ...
AI algorithms analyse complex medical images with speed and precision, supporting early disease detection.Radiology and ...
2UrbanGirls on MSNOpinion
Neel Somani on formal methods and the future of machine learning safety
Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...
Geoinformatics has become a transformative field in Earth science and GIScience, fueled by rapid advancements in Earth observation, remote sensing, GIS ...
Alexis Battle has been appointed as the Wu and Zhang Professor of biomedical engineering and computer science.
A new study published in the journal of Scientific Reports proposed a potential diagnostic tool by combining deep learning ...
The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...
Quantum computing and its threat to current encryption and the unknown threat of powerful quantum automated by advanced AI.
Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...
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