Deep neural networks show promise for predicting future self-harm based on clinical notes
Researchers at the Medical University of South Carolina use deep learning models to identify patients at risk of intentional self-harm ...
Researchers at the Medical University of South Carolina use deep learning models to identify patients at risk of intentional self-harm ...
Nearly $1.2 million in grants will help University of Missouri researchers create an intelligent computer detection systemCredit: University of Missouri ...
Computer Science: publication in Genome BiologyCredit: HHU / Gunnar Klau The genomes of all higher life forms are stored in ...
Clinicians, researchers, patients and the general public are invited to submit questions that could be answered by COVID-19 patient medical ...
Interactive software safe and cost-effective way to keep watchful eye on endangered black rhinosCredit: WildTrack DURHAM, N.C. -- Interactive software ...
A multifaceted approach is the best way to address election infrastructure security, say researchersCredit: Photo courtesy of the IU Kelley ...
Credit: European Respiratory Society An automatic, electronic alert on general practitioners' (GPs) computer screens can help to prevent excessive prescribing ...
MU engineers developing real-time, smart traffic management system for first use in greater St. LouisCredit: University of Missouri A $1.5 ...
Credit: University of Warwick Smart home technologies are marketed to enhance your home and make life easier. However, UK consumers ...
New research by SMART finds that one third of ridesourcing substitutes public transitCredit: Singapore-MIT Alliance for Research and Technology Study ...
Medical University of South Carolina team is one of nine chosen by U.S. Army to build a prototype for increasing ...
Austrian researchers have developed a simple tool to show the trends in coronavirus infections over time around the world; The ...
Researchers develop cryptographic scheme that completely hides your personal information from third parties when using single sign-on systems.Credit: Tokyo University ...
Keck Medicine of USC study identifies psychological measures that may predict who is more likely to complete - or quit ...
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