AI Reads Routine Thyroid Slides to Predict BRAF Mutation Before Surgery
An interpretable pathomics framework predicted BRAF V600E status in papillary thyroid carcinoma from routine Wright-stained cytology slides, reaching an AUC ...
An interpretable pathomics framework predicted BRAF V600E status in papillary thyroid carcinoma from routine Wright-stained cytology slides, reaching an AUC ...
A graph neural network trained on about 2.1 million PanDA job records predicts job turnaround time with an R-squared of ...
Researchers combined waste cotton stalks and eggshells into a microwave-grafted, calcium-rich biochar that removes tetracycline from water with a maximum ...
A new deep-learning phase picker called PhaseNeXt, trained on 25 million JMA waveforms, detected roughly 3.3 times more events than ...
Anesthesiology researchers argue that AI in perioperative care must be human-centered, warning that most models lack prospective validation and real-world ...
A multicenter study combined CT-derived radiomic features with clinical data in an XGBoost model that predicted outcomes after aneurysmal subarachnoid ...
The new OPCNet neural network fits highly oscillatory data by learning the dynamics of a linear ODE and fitting the ...
Simulations of the Yellow River delta front show that brief artificial water-sediment regulation pulses, covering only about 5.5 percent of ...
Researchers trained an XGBoost machine learning model to estimate the residual tensile strength of artificially aged silk textiles from nondestructive ...
Hourly smart meter readings can now reveal far more than a building's total electricity consumption. Researchers have developed COF-Tool, an ...
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© 2025 Scienmag - Science Magazine