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AI system spots Parkinson’s signs in voice, walking and drawings
By Dr. Liji Thomas, MD By merging voice instability, gait asymmetry, and tremor-driven handwriting changes into a single explainable AI framework, researchers show how digital biomarkers can move ...
COMET, a novel machine learning framework, integrates EHR data and omics analyses using transfer learning, significantly enhancing predictive modeling and uncovering biological insights from small ...
Researchers develop multimodal deep learning model to enhance precision radiotherapy decision-making
Cervical cancer is a major public health concern that poses a significant threat to women's health. Standard concurrent chemoradiotherapy (CCRT) achieves disease-free survival (DFS) in approximately ...
Implications of EGFR expression in MAPK dependency and adaptive immunity status of EGFR-mutated lung adenocarcinoma. Baseline RADAR score and optimal threshold of predicting relapse within one year ...
Across the world, conversations around Multimodal AI are gaining momentum. Researchers, technology leaders, and industry innovators are beginning to recognize it as the next major frontier of ...
Please provide your email address to receive an email when new articles are posted on . The model combines demographic, chest X-ray, electrocardiogram and transthoracic echocardiography data. The ...
Multimodal sensing in physical AI (PAI), sometimes called embodied AI, is the ability for AI to fuse diverse sensory inputs, ...
The role of technology in optimizing ERP order processing has become increasingly important as businesses strive to improve operational efficiency and reduce costs.
Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...
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