In the hunt for new therapeutics for cancer and infectious diseases, lasso peptides prove to be a catch. Their knot-like ...

New papers on Apple's machine learning blog detail how AI can be used for faster, cheaper, and more effective QE testing, as ...

Injuries are an inevitable part of the NFL with all the high-speed collisions, crushing hits and high exertion necessary on ...

Imagine a future where Artificial Intelligence (AI) can forecast medical conditions years before any symptoms appear. What ...

A machine learning–driven web tool based on 13 standard patient metrics demonstrates strong predictive performance for MASLD, ...

Clinical Interchangeability of PD-L1 Immunohistochemistry Assays in First-Line Non–Small Cell Lung Cancer Management With Cemiplimab Internal iliac and obturator lymph nodes are common sites of ...

Objective: The aim of this study was to develop a reliable model for predicting mortality in patients with catheter-associated urinary tract infection (CAUTI) in intensive care unit (ICU). Methods: ...

Peer ReviewDownload a summary of the editorial decision process including editorial decision letters, reviewer comments and author responses to feedback. Most organismal traits result from the complex ...

This predictive model built on readily acquired clinical data provides encouraging results for the detection of residual disease. External validation and prospective studies implementing the model in ...

Abstract: The main aim of this experimental investigation is to forecast the movement and possible shifts of the Earth's magnetic poles by utilizing machine learning (ML) techniques. With historical ...

Bipolar disorder is a multifaceted psychiatric illness characterized by unpredictable mood episodes and highly variable treatment responses across individuals. Predicting response to specific ...