Although large language models (LLMs) have the potential to transform biomedical research, their ability to reason accurately across complex, data-rich domains remains unproven. To address this ...
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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...
The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after trauma and it remains difficult to predict whether someone might worsen, ...
The aspect of a job interview will have turned into an evaluation backed with data, behavior analysis, and competency models by the year 2026.
The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...
Dr Michele Orini shares how machine learning can help identify critical VT ablation targets for a safer, data-driven ...
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