Experts Map a Five-Level Maturity Path for Digital Twins in Freeze-Drying
A cross-industry consensus paper lays out a five-level maturity model, modeling and sensor requirements, and risk-based validation guidance for deploying ...
Tag: Machine Learning
Machine Learning Pinpoints When Burned Hillslopes Turn Into Deadly Debris Flows
Machine learning models trained on controlled flume experiments identify fine sand and the first ten minutes of high-intensity rainfall as ...
AI Reads Four Molars From CBCT Scans to Estimate Adult Age Within 2.5 Years
A study of 2,000 CBCT scans found that an XGBoost model using tooth-specific pulp-dentin index values from all four first ...
Network and Biometric Signatures Combined to Fingerprint Hacked Medical Devices
A new forensic framework fuses network traffic metrics with physiological payload data, detecting data-alteration attacks on medical devices with an ...
New Bayesian Model Extracts Shared Microbial Signals Across Heterogeneous Studies
Researchers have introduced a statistical model designed to predict disease from microbiome data pooled across many studies, addressing a persistent ...
AI could give the Horn of Africa early warning against climate-driven outbreaks
A new Perspective in Globalization and Health proposes a five-layer AI framework and IGAD-anchored roadmap for climate-health early warning across ...
AI Learns to Predict Ultra-Strong Recycled Concrete Strength from Tiny Datasets
A machine learning framework combining a small experimental dataset with 300 VAE-generated synthetic mixes predicts the compressive strength of recycled-concrete-powder ...
Research report: Performance of a wearable movement tracking system in detecting hypomobility in acute ischemic cerebrovascular events
A prospective study in Vietnam reports that wrist-worn accelerometers combined with Bayesian changepoint detection and an XGBoost model detected new ...
Smartphone computer vision reads COVID tests and forecasts negative results
A computer vision algorithm reads BinaxNOW COVID-19 rapid antigen test images, estimates viral load against PCR cycle thresholds, and predicts ...
Brain Network Fingerprints Under High Working Memory Load Distinguish Multiple Sclerosis Patients
A graph theory and machine learning analysis of task-based fMRI distinguished multiple sclerosis patients from healthy controls with 95.5 percent ...
AI Framework Designs Composite Microstructures and Predicts Their Properties in Real Time
Researchers have built a Rank Reduction AutoEncoder framework that generates composite microstructures, predicts their mechanical responses in real time, and ...
Machine learning finds Non-APOE gene signals too weak to predict Alzheimer’s
A Korean two-stage sequencing study found that Non-APOE candidate variants added almost no predictive power once leakage and APOE effects ...
Oral Biofilms Rely on Architecture, Not Just Which Microbes Are Present
A new review argues that oral biofilm disease is driven by spatial architecture, matrix chemistry and metabolism rather than microbial ...
Autonomous AI framework detects and restores grid faults in smart distribution networks
An AI framework combining supervised learning, autoencoder anomaly detection and a multi-agent system detected known and unseen faults in a ...
Five webpage categories could track what companies are really doing online
Researchers classified 1440 company webpages into five business-relevant categories and found that a few-shot large language model outperformed conventional machine ...
New Model Tames Uncertainty in Multi-View Machine Learning
A new Applied Intelligence study proposes UOMC, a multi-view classification model that quantifies view-specific uncertainty and reports accuracy gains on ...
Machine Learning Model Predicts Synergistic Antibiotic Combinations Against E. coli
A machine learning framework integrating drug structures, E. coli gene responses and metabolic context predicted 37 synergistic antibiotic combinations, with ...
One framework joins global and local anomaly detection for time series
A new framework discretizes time-series data and splits it between global rule-based and Transformer-based local detectors, reporting higher F1 scores ...
New French Database Links Forest Stands to Soil Quality at 583 Sites
A new open-access database describes forest structure, biomass and silvicultural management at 583 forested sites of the French Soil Quality ...
AI Reads Retinal Images to Diagnose Diabetic Nephropathy Without Kidney Biopsies
A multicenter Chinese study reports that an AI model combining retinal vascular geometric parameters from fundus images with clinical data ...
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