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 ...
Millions of people are diagnosed with Alzheimer's disease each year, comprising 60% to 70% of dementia cases worldwide. While cognitive impairment and structural brain changes are indicative of ...
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 ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
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.
The use of artificial intelligence in environmental control systems often centers on two contrasting approaches, static deep ...
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 ...
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