Predictive model accelerates the development of nanoparticles as potential drug carriers for targeting neurodegenerative ...
A group of researchers has developed and externally validated the first-ever predictive model to help clinicians identify ...
A new study combining multiomics approaches with machine learning has identified plasma protein changes that may allow for ...
Machine learning has become the critical enabler for addressing these challenges. Traditional ML models, including random ...
Researchers from Universiti Tun Hussein Onn Malaysia and Chettinad Institute of Technology developed a Golden Eagle-Assisted ...
Researchers apply AI and machine learning to livestock waste recycling, improving phosphorus recovery, and advancing ...
Please provide your email address to receive an email when new articles are posted on . The Insall-Salvati ratio, tibial tubercle-trochlear groove distance and trochlear depth had the greatest ...
Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
A tree can sequester quite a bit of carbon, and forests can sequester and store quite a bit more, but knowing exactly how ...
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