The Research Computing Support Group (RCSG) at UT San Antonio offers specialized training sessions to support researchers with their computational needs. These training sessions cover high-performance ...
The wasting shadow: Underweight/cachexia as a consistent predictor of adverse inpatient outcomes and escalated resource use across common solid tumors.
Machine learning can enhance ARF outcome predictions but faces challenges like data quality, system heterogeneity, and clinician acceptance. High ARF mortality and mechanical ventilation risks ...
When people program new deep learning AI models — those that can focus on the right features of data by themselves — the vast majority rely on optimization algorithms, or optimizers, to ensure the ...
Validating a semantic similarity approach for automated data extraction in phase II oncology trials. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does not ...
Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.
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