Cleveland Clinic and IBM researchers are using quantum computing to tackle one of the most challenging problems in immuno-oncology: predicting which tumor mutations will trigger an immune response.
A study explores how AI and ML can improve early detection of neurological diseases, including Parkinson’s disease, ...
Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, methicillin-resistant Staphylococcus aureus (MRSA) accounted for more than 100,000 global ...
A large study found that a LightGBM machine learning model accurately predicted survival and early death risk in patients ...
Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational model that could expedite the use of nanomaterials in biomedical applications.
Objective This study aims to evaluate the relationship between obesity (measured by Body Mass Index (BMI)) and postoperative ...
Physics-informed machine learning connects atomic structure with ion transport and electrolyte stability, accelerating better sodium- and lithium-ion batteries.
Machine learning is rapidly reshaping how we model molecules, and a growing body of work suggests that neural networks are not merely statistical ...
Overview: AWS offers a role-based AI and machine learning certification portfolio that supports beginners, machine learning ...
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