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 ...
Tag: Machine learning
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 ...
UAV-LiDAR and NGBoost Deliver Uncertainty-Aware Forest Volume Estimates
A study in Guangxi, China, combined UAV-LiDAR with NGBoost to predict forest stock volume as full probability distributions, achieving an ...
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 ...
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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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