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 ...
Tag: sparse
Simulation framework tailors infectious disease policy to local data
A new simulation framework calibrates agent-based models to routine surveillance data through an ODE surrogate, revealing that COVID-19 intervention rankings ...
Research report: Frequency-aware sparse token vision transformer for medical image segmentation
A frequency-aware sparse vision transformer outperformed comparison models on organ, cardiac, breast, skin and polyp segmentation across five public medical ...
Explainable AI classifies origins of 52 historic blue bricks
An explainable machine-learning framework classified 52 historic blue bricks among five regional groups with 95% test accuracy using spectral and ...
Depression May Be One Continuous Spectrum, New Protein Study Suggests
Major depressive disorder has long resisted the tidy categories that clinicians and researchers would like to impose on it. Two ...
Machine learning decodes fear-driven predator–prey dynamics and predicts ecological tipping points
Ecologists have long known that predators kill prey. What a new study now shows, with the help of machine learning, ...
New Topic-Based Framework Turns Opaque AI Semantics Into Interpretable Sparse Coordinates
A new framework called SISTR represents word and text meanings as sparse vectors over human-interpretable topics derived from pretrained language ...
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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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