AI prediction loops exploit uncertainty, deepen dopamine dependence, and reshape anticipation, decisions, and control ...

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 ...

Existing loss of well control event indicators fall short of predicting events in an accurate and timely manner due to a lack ...

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 ...

• A new AI machine learning algorithm capable of predicting planetary orbits that may one day help accelerate physics research in other areas such as renewable energy. • Strikingly, the algorithms ...

Somatic genomic landscape of prostate adenocarcinoma at a comprehensive cancer center in New Mexico: A retrospective study (2015-2022). This is an ASCO Meeting Abstract from the 2025 ASCO ...

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