Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...

Deep learning models have shown great potential in predicting and engineering functional enzymes and proteins. Does this prowess extend to other fields of biology as well? Contrary to expectations, a ...

Researchers in China conceived a new PV forecasting approach that integrates causal convolution, recurrent structures, attention mechanisms, and the Kolmogorov–Arnold Network (KAN). Experimental ...

ICU patient monitoring forms the foundation for AI models to predict which sepsis patients will benefit from corticosteroid therapy, enabling personalized treatment decisions. Sepsis remains one of ...

The use of artificial intelligence in environmental control systems often centers on two contrasting approaches, static deep ...

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Stop throwing money at GPUs for unoptimized models; using smart shortcuts like fine-tuning and quantization can slash your training costs without losing accuracy. Optimizing artificial intelligence ...

A research team has developed a groundbreaking deep learning-based method for analyzing the cytoskeleton -- the structural framework inside cells -- more accurately and efficiently than ever before.