HIV research highlights treatment gaps, inequality and stigma worldwide
A new editorial argues that treatment disengagement, care inequalities and stigma remain the central barriers to improving HIV outcomes worldwide.
Tag: Machine learning
AI Meets Particle Accelerators: Engineers Propose a Safety-First Integration Layer
A review by Cosylab engineers in the ARTIFACT network proposes a framework-agnostic, safety-first abstraction layer to connect AI services to ...
Machine learning model predicts early pregnancy loss after IVF using five routine clinical markers
A retrospective cohort study developed an XGBoost model using five routine clinical indicators to estimate early pregnancy loss risk after ...
Artificial intelligence could reshape antimicrobial stewardship in Africa, but evidence remains early
A new commentary argues that artificial intelligence could strengthen antimicrobial stewardship across Africa, but finds most applications remain at pilot ...
GPT-Neo Transformer Boosts Bacterial Promoter Prediction
A hybrid GPT-Neo transformer and Random Forest approach achieved 97 percent accuracy in detecting promoters in Agrobacterium tumefaciens.
Machine learning model predicts peak ACL force during side-cutting maneuvers
Researchers trained an interpretable XGBoost model on biomechanical data from 204 male athletes to predict peak ACL force during side-cutting ...
Triglyceride-Glucose-Frailty Index Shows Strong Link to Cardiovascular Risk
A nine-year cohort study finds that a composite index combining triglyceride-glucose levels with frailty measures strongly predicts incident cardiovascular disease ...
Risk in football passing does not always buy greater expected value
A new risk–reward analysis of over 3.3 million football passes shows that higher-risk passes do not necessarily produce greater expected ...
Tensor-Compressed Federated Learning Keeps Patient Data Private While Cutting Edge Latency
A new framework for privacy-preserving healthcare analytics, published in Discover Artificial Intelligence, reports measurable gains in accuracy, latency, and communication ...
Explainable TabNet model predicts workforce performance scores in benchmark dataset
An explainable TabNet framework achieved an R² of 0.9880 when predicting employee performance from 100,000 workforce records, while its authors ...
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Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
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University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
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Bee body mass, pathogens and local climate influence heat tolerance
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Researchers record first-ever images and data of a shark experiencing a boat strike
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Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
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