An evidence-based management algorithm does not improve quality of life or pain severity compared with standard care among ...
Developed by Professor Sanjay Mehrotra, the Sliding Scale AdaptiVe Expedited (SAVE) algorithm could improve organ allocation ...
Where is operational tooling going?
Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
Background Hypertrophic cardiomyopathy (HCM) is associated with an increased risk of sudden cardiac death (SCD), and myocardial fibrosis plays a central role in the pathophysiology process.
Background Current automatic software uses a fixed apparent diffusion coefficient (ADC) threshold (≤620×10⁻⁶ mm²/s) to ...
Automated decision making is basically when computers make choices on their own, using data and rules instead of a person.
Background Allostatic load (AL) is the physiological burden of stress, and it is suggested to be a mediator between ...
Abstract: A significant number of users depend on Large Language Models (LLMs) for downstream tasks, but training LLMs from scratch remains prohibitively expensive. Sparse finetuning (SFT) has emerged ...
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