A biology-guided artificial intelligence model applied to routine pathology slides accurately predicted outcomes and response ...
Introduction In an era where data breaches and cyber threats are on the rise, organizations are seeking advanced solutions to ...
Researchers have developed a hybrid surrogate model for iso-octanol oxidation to iso-octanal that integrates data-driven ...
Accurate detection of PIK3CA mutations is essential for personalizing breast cancer treatment, particularly with ...
A deep learning platform may help predict how people with advanced lung cancer will respond to immunotherapy, according to study results.Patients determined by a biology-guided AI model to be at high ...
A recent publication from IMDEA Materials Institute and the Technical University of Madrid (UPM) presents a major step ...
Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms as well as supporting myriad research applications. Of particular interest ...
Of 372 patients studied, 79.3% and 20.7% were in the completion group and the non-completion group, respectively. The final BERT model achieved average F1 scores of 0.91 and 0.98 for time to ...
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 ...
The field of intelligent energy systems has witnessed a remarkable transformation owing to innovations in machine learning. Over the past few decades, the ...