Machine Learning Model Improves Kidney Function Estimates in Young People
A BMC Pediatrics study finds that a random forest model combining serum creatinine and cystatin C, further improved by adding ...
Tag: Machine Learning
Diffusion Model Reclaims Lost Bits in High-Speed Analog-to-Digital Converters
A conditional diffusion model with physics-based constraints boosted effective resolution, SNDR, and spurious-free dynamic range in high-speed ADCs tested from ...
Facial Landmarks Let Autonomous Vehicles Read Driver States in Real Time
A calibration-driven facial landmark system aboard an autonomous electric shuttle distinguished five driver behavioral states with interpretable machine learning, reaching ...
Ancient Chinese Preventive Medicine Meets AI in Proposed Digital Health Framework
Researchers propose a testable framework that pairs Traditional Chinese Medicine's preventive-treatment doctrine with digital phenotyping and dual-engine AI analysis for ...
AI research on sports injury prediction has exploded, a new map shows
A new bibliometric analysis of 809 publications shows that research on artificial intelligence for predicting and preventing sports injuries grew ...
Simple Blood Ratios and Machine Learning Flag Hospital Diabetic Foot Ulcer Risk
A retrospective Chinese study used admission blood-based inflammatory–nutritional indices and machine learning to predict new diabetic foot ulcers during hospitalization, ...
AI and a Chat Interface Team Up to Predict Wind Turbine Failures in Real Time
Researchers in Türkiye have combined IoT sensors, gradient-boosted machine learning, and a safely grounded large language model into a prototype ...
Trait-Based Individual Models Extend Chemical Risk Assessment to Data-Poor Species
Trait-based individual-based models allow ecological risk assessors to extrapolate chemical effects from well-studied test species to poorly characterized species of ...
Feed-forward neural basis model delivers most accurate held-out temperature predictions for Schottky diode curves
A leave-one-temperature-out comparison of ten models found that the feed-forward N-BEATS architecture gave the most accurate predictions of Schottky diode ...
AI Agents Learn to Plan Subgoals by Watching the Whole Task Unfold
A new hierarchical AI framework called EOPBiSE plans subgoals from both language instructions and full-episode visual observations, improving handling of ...
Targeted SNP Array and Machine Learning Predict Fillet Nutritional Quality in Common Carp
A new 20,361-SNP genotyping array combined with machine learning models predicts crude protein, fat, moisture, amino acid, and fatty acid ...
Machine Learning Rebuilds Missing Sonic Logs and Keeps Rock Classification on Track
A study of six Browse Basin wells shows gradient boosting can reconstruct sonic logs missing under a harsh simulated pattern, ...
Blood Exosome miRNA Signature Shows Strong Accuracy for Detecting Parkinson’s Disease
A 69-microRNA signature measured in blood exosomes classified Parkinson's disease with an AUC of 0.952 across cohorts, while multi-omics analyses ...
AI Subtyping Suggests Polycystic Ovarian Syndrome Is Four Distinct Conditions
A review argues that polycystic metabolic ovarian syndrome is best understood as four biologically distinct subtypes identified through multi-omics data ...
Machine Learning Links Calcium-Rich and Fruit-Forward Diets to Lower Rheumatoid Arthritis Odds in People With Anxiety
A machine learning analysis of NHANES data found that higher intakes of calcium, lycopene, folate, vitamin D, fruits, dairy and ...
Equivariant neural network predicts charge density over an order of magnitude faster
A new equivariant graph neural network predicts charge density and band structures across the periodic table more than ten times ...
Hybrid AI Fuses Deep and Handcrafted Features for Near-Perfect Cervical Cancer Screening
A hybrid machine learning framework fusing autoencoder-learned representations with handcrafted texture features achieved approximately 99.85% test accuracy for cervical cancer ...
MRI radiomics predicts microvascular invasion in small hepatocellular carcinoma
A retrospective study of 115 surgically treated patients found that cross-phase MRI radiomics achieved an AUC of 0.850 for predicting ...
Editorial: Mechanisms of drug resistance in cancer: overcoming barriers with novel pharmacological strategies
An editorial summarizing eight contributions describes cancer drug resistance as an adaptive process involving genetic, epigenetic, metabolic, signalling and microenvironmental ...
High-Entropy Alloys Trade Hydrogen Capacity for Practical Storage Performance
A review finds that high-entropy hydrogen-storage alloys offer a tunable trade-off between capacity, speed and reversibility, with multiphase designs and ...
