Deep Learning Reads MRI Histograms to Predict Which Spine Tumors Will Resist Chemotherapy
When breast cancer spreads to the spine, one of the most pressing questions a treating physician faces is deceptively simple: ...
When breast cancer spreads to the spine, one of the most pressing questions a treating physician faces is deceptively simple: ...
Improving the efficiency of crop breeding is a critical component of global food security, yet the process remains hindered by ...
Unmanned aerial vehicles are being asked to fly ever more ambitious missions: threading through dense urban canyons, inspecting cluttered industrial ...
A comprehensive Heliyon benchmark of 16 survival prediction methods and 12 feature engineering strategies across three radiomic datasets finds that ...
Sepsis remains the leading cause of childhood mortality worldwide, claiming more young lives than any other single condition, and clinicians ...
Quantum machine learning has been one of the most tantalizing promises in computational finance: the idea that qubits, superposition, and ...
A new conditioned diffusion-based graph attention network from the University of Naples Parthenope delivers probabilistic spatio-temporal forecasts with calibrated uncertainty, ...
In a finding that blurs the line between microbiology and artificial intelligence, researchers have shown that deep learning models can ...
A scoping review of nineteen studies finds that intrapartum ultrasound parameters such as angle of progression and head-perineum distance show ...
Every day, millions of people move between neighborhoods, cities, and regions, and every package, commuter, and phone ping leaves a ...
A major new review maps how artificial intelligence is transforming biological age prediction, from epigenetic clocks to multimodal deep learning, ...
A cursor-freezing experiment shows that when late motor corrections become ineffective, the brain shifts control toward earlier commitment to predicted ...
A blood-based epigenetic clock, GrimAge2, significantly improves survival prediction in early-stage non-small cell lung cancer, outperforming traditional risk factors including ...
A unified deep learning framework classifies six photovoltaic fault types and predicts the power each fault costs, with DenseNet201 reaching ...
A new study shows that combining brain oxygen saturation, EEG-derived sedation monitoring, clinical scores and a blood biomarker can predict ...
A new machine-learning framework called MB-SupConCon extends supervised contrastive learning to continuous responses, enabling more accurate and biologically interpretable prediction ...
A multicenter pediatric cohort study shows that a machine learning model for predicting IVIG resistance in Kawasaki disease loses accuracy ...
A hyperspectral imaging study shows that near-infrared spectra can nondestructively predict hardness, resilience, and chewiness in sesame protein meat analogs.
Artificial intelligence is quietly rewriting one of the oldest problems in data science: predicting what happens next. A new editorial ...
Every dyed fabric tells a story of slow defeat. Sunlight, moisture, and heat conspire to break the chemical bonds that ...
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