To his credit, Kasy is a realist here. He doesn’t presume that any of these proposals will be easy to implement. Or that it will happen overnight, or even in the near future. The troubling question at ...

Mathematicians may have a better way to measure agreement across different datasets. Agreement affects reproducibility, meta-analysis, and prediction to fill in missing data points. We need a more ...

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Accounting for racial disparities, including in the quality of family history data, enhanced the predictive performance of a colorectal cancer (CRC) risk prediction model. The medical community is ...

Healthcare provider experiences in managing antibody-drug conjugate dosing adjustments due to nausea and vomiting: SABCS and ESMO survey findings. Effcacy and safety results of a multi-center phase ...

Researchers at Moffitt Cancer Center have developed a new tool to predict how cancer cells evolve. By focusing on chromosome configuration, they said their findings show tumors follow measurable rules ...

The agency’s 31% year-over-year surge in AI use cases includes work with predictive models and surveillance technologies that ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...