The Lancet

Machine learning to classify the focus score and Sjögren's disease using digitalised salivary gland biopsies: a retrospective cohort study

bCentre for Translational Bioinformatics, William Harvey Research Institute, London, UK cExperimental Medicine and Rheumatology, William Harvey Research Institute, London, UK dSchool of Infection, ...
IEEE

Identifying Key Predictors of Students’ Competency Achievement Using Machine Learning Models: A Bioengineering Case Study

Abstract: Competency-based education (CBE) in higher education demands interpretable and scalable tools to monitor student progress. Current studies on CBE have used small samples in short evaluation ...
BMJ

Predicting cardiovascular events from routine mammograms using machine learning

10 The George Institute for Global Health, School of Public Health, Imperial College London, London, UK Background Cardiovascular risk is underassessed in women. Many women undergo screening ...
Live Science

Scientists use quantum machine learning to create semiconductors for the first time – and it could transform how chips are made

Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend of artificial intelligence and quantum computing. When you purchase through ...
Frontiers

Machine learning prediction and interpretability analysis of high-risk chest pain: a study from the MIMIC-IV database

Background: High-risk chest pain is a critical presentation in emergency departments, frequently indicative of life-threatening cardiopulmonary conditions. Rapid and accurate diagnosis is pivotal for ...
C&EN

Historical Data Mining Deep Dive into Machine Learning-Aided 2D Materials Research in Electrochemical Applications

You are free to share (copy and redistribute) this article in any medium or format and to adapt (remix, transform, and build upon) the material for any purpose, even commercially within the parameters ...
Frontiers

Machine learning developed an immune evasion signature for predicting prognosis and immunotherapy benefits in lung adenocarcinoma

Background: Lung adenocarcinoma (LUAD) is one of the most common cancers worldwide and a major cause of cancer-related deaths. The advancement of immunotherapy has expanded the treatment options for ...
GEN

Integrative Exome Sequencing and Machine Learning Identify New Genes Contributing to Systemic Sclerosis Risk

Scientists at the Baylor College of Medicine and collaborating institutions used complementary approaches that integrate exome sequencing and evolutionary action machine learning to identify protein ...
Journal of Medical Internet Research

Mental Health Issues and 24-Hour Movement Guidelines–Based Intervention Strategies for University Students With High-Risk Social Network Addiction: Cross-Sectional Study ...

Mental Health Issues and 24-Hour Movement Guidelines–Based Intervention Strategies for University Students With High-Risk Social Network Addiction: Cross-Sectional Study Using a Machine Learning ...
The Digital Universe

BYU study finds the real reasons why some people choose not to use artificial intelligence

Generative artificial intelligence is everywhere, but not everyone is ready to embrace it — and it’s not just people who fear that AI might replace their jobs or that ChatGPT will become sentient and ...