Ward Colonisation Pressure Scores Add Little Power to Predict Hospital-Onset Infections
A reanalysis of eleven pathogen-specific matched cohorts from Mass General Brigham found that ward colonisation-pressure scores and antibiotic exposure added ...
Tag: Machine Learning
AI Moves Into Vascular Surgery, But Most Models Still Await Real-World Proof
A new review of thirty studies finds artificial intelligence showing strong potential across minimally invasive vascular surgery, from risk prediction ...
Machine Learning and FTIR Spectroscopy Team Up to Detect Sudan I Dye in Chili Powder
A new method pairs magnetic molecularly imprinted extraction with machine learning-assisted FTIR spectroscopy to quantify the illicit dye Sudan I ...
Wolf-pack algorithm with multiple leaders flags deceptive statements in executive background checks
A hybrid wolf-pack optimization framework combining multi-leadership search with BERT-based and statistical text features achieved an F1 score of 0.8733 ...
CTA Radiomics Model Distinguishes Symptomatic From Silent Vertebrobasilar Dissections
A retrospective single-center study of 173 patients reports that a combined model integrating clinical variables, conventional CTA features and cross-fitted ...
Cassava stability study pinpoints broadly adapted genotype across 66 Thai environments
A ten-year Thai trial network shows cassava genotype × environment interaction is trait-specific, with HB80 emerging as the most broadly ...
Tablet-based augmented reality test spots mild cognitive impairment in under 15 minutes
A cross-sectional study of 638 older adults across three countries found that a self-administered tablet-based assessment combining motoric, augmented reality, ...
Free open-source platform brings no-code machine learning to non-experts
A machine learning platform that earned an "excellent" usability score of 87.69 on the industry-standard System Usability Scale is now ...
Mobility patterns dominate explainable machine learning forecasts of COVID-19 cases in India
An explainable machine learning study of 47 districts in Maharashtra and Kerala found LSTM models forecast one-day-ahead COVID-19 cases best, ...
New AI Tool Searches a Billion Aurora Images in Milliseconds
A new open-source tool called THEMISim lets researchers search the THEMIS project's archive of more than a billion auroral images ...
Two-Week Risk Score Identifies Low-Infection Group After CAR-T Therapy
A retrospective registry analysis of 3,302 adults with large B-cell lymphoma found that machine-learning models using information available by Day ...
AI-guided enzyme search yields two new cellulases and an eightfold secretion boost in Bacillus subtilis
A new study links database-guided discovery of two uncharacterised GH5 endoglucanases with two rounds of mutagenesis and an approximately eightfold ...
New Clustering Method Learns Continually from Streams of Kernel Matrices
A new method called CMKTC clusters data from sequentially arriving kernel matrices by preserving historical structure through anchor graphs and ...
EquiChain framework slashes PBFT communication overhead by up to 98% in permissioned blockchains
A new modular framework called EquiChain cuts PBFT communication overhead by up to 98 percent in prototype experiments while preserving ...
Uncertainty-aware Bayesian neural network brings confidence scores to breast cancer AI
A variational Bayesian neural network trained on the Wisconsin Diagnostic Breast Cancer dataset matches conventional classifiers while flagging which predictions ...
Hidden data leakage inflates AI model accuracy in cement plant records
A two-evidence auditing method combining name-based and behavioral screening exposed severe target leakage in a cement plant's PLC-SCADA data, cutting ...
COSMOS Learns Neural Representations as Gauge Dynamics on the Grassmannian
The COSMOS framework trains orthonormal subspace frames with conjugation-based gauge-style updates, holding geometric integrity at machine precision and matching a ...
Neural network predicts three-year local recurrence after lung SBRT with higher accuracy than standard models
A retrospective single-center study developed an interpretable artificial neural network that predicted three-year local recurrence after lung SBRT with an ...
Flicker Light Test and Machine Learning Estimate Age from Retinal Vessels
A machine learning study reports that dynamic diameter changes of retinal blood vessels during flicker light stimulation can be used ...
FA-PPO Method Helps Drones Dodge Obstacles in Cluttered Skies
A new reinforcement learning method called FA-PPO was the only tested algorithm to complete simulated UAV obstacle-avoidance tasks across three ...
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