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An Osaka Metropolitan University research team proposed a non-contact approach for characterizing post-regurgitation deep ...
MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced that they have developed a set of quantum algorithms for feedforward neural networks, breaking through the performance ...
Scientists have developed a geometric deep learning method that can create a coherent picture of neuronal population activity during cognitive and motor tasks across experimental subjects and ...
The Traveling Salesman Problem (TSP), a quintessential challenge in computational theory, involves finding the shortest route that visits each city exactly once before returning to the starting point.
Assessing mortality trends among patients with lip and oral cavity cancer due to tobacco consumption: A systematic analysis of the Global Burden of Disease-2021.
Characterizing the clinical and genomic features of androgen indifferent prostate cancer. Distribution of manual p53 scores (rows) and automated digital image analysis (DIA) p53 scores (columns) by ...
Researchers developed and validated a new lung cancer prediction model, Sybil-Epi, by integrating clinical and epidemiologic data with a pre-existing model.
New research can transform how hospitals triage, risk-stratify, and counsel patients to save lives. Mount Sinai researchers studying a type of heart disease known as hypertrophic cardiomyopathy (HCM) ...
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