Abstract: Hemochromatosis is a hereditary disease that shows its presence by the accumulation of iron inside the human body tissues to such an extent that it might end up damaging the organs if not ...
Artificial Intelligence (AI) is no longer a mysterious technological presence hiding behind screens; it is intertwined with the most intimate dimensions of who we are. From playlists on Spotify to ...
Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.
Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...
A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
New AI model decodes brain signals captured noninvasively via EEG opens the possibility of developing future neuroprosthetics ...
Abstract: Atrial fibrillation (AF) is a common arrhythmia. The accuracy and efficiency of detection for wearable electrocardiogram (ECG) devices are limited by noise interference and poor data quality ...
Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...
Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
Objective: To develop an AI-based predictive model for acute respiratory distress syndrome (ARDS) following cardiopulmonary bypass (CPB)-assisted heart valve replacement (HVR) to enable early ...
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