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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 ...

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 ...

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 ...

Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...

• 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 ...

According to Mercer's 2024 AI in Investment Management global manager survey, 91% of asset managers either currently use AI (54%) or plan to use it within their investment strategy or asset-class ...

The police stopped using the Criminality Anticipation System (CAS) in December, an algorithm that predicted the risk of criminal activity. The force confirmed this after reports in the Volkskrant. The ...

Shopping is no longer just about need, taste, or even persuasion. It is about prediction, feedback loops, and invisible ...

We’re living in a time when data shapes almost every choice we make, from picking a winning football team to deciding where to invest our savings. This shift toward calculated predictions is changing ...