The Bureau of Reclamation (Reclamation) projects 2 – 5-year Colorado River Basin (CRB) system conditions for stakeholders using their Colorado River Mid – Term Modeling System (CRMMS). As inputs, this ...
Delirium tremens (DT) is a severe complication of alcohol withdrawal. This study aimed to develop and validate a prediction model for DT risk in hospitalized patients with alcohol dependence, using ...
Background Evolving migration patterns between the USA and Mexico may alter the traditional health advantages associated with Mexican immigrants in the USA. This study examines the relationship ...
Objective To develop and validate a risk prediction model related to inflammatory and nutritional indexes for postoperative pulmonary infection (POI) after radical colorectal cancer (CRC) surgery.
1 School of Computing and Data Science, Wentworth Institute of Technology, Boston, USA. 2 Department of Computer Science and Quantitative Methods, Austin Peay State University, Clarksville, USA. 3 ...
Background: Aspiration pneumonia is a serious complication after cardiac surgery, particularly among older patients. Preoperative oral frailty—decline in oral function including poor hygiene and ...
Lugano/Berlin, 20 October 2025 – The European Society for Medical Oncology (ESMO) released today the ESMO Guidance on the Use of Large Language Models in Clinical Practice (ELCAP), the first ...
Neurointervention is a highly specialized area of medicine and, as such, neurointerventional research studies are often more challenging to conduct, require large, multicenter efforts and longer study ...
Google on Tuesday announced a brand-new AI model called Gemini 2.5 Computer Use, releasing it in preview to developers. If you've been following the AI industry, you might be familiar with the term ...
Earlier this year, Apple introduced its Foundation Models framework during WWDC 2025, which allows developers to use the company’s local AI models to power features in their applications. The company ...
ABSTRACT: This paper aims to investigate the effectiveness of logistic regression and discriminant analysis in predicting diabetes in patients using a diabetes dataset. Additionally, the paper ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results