Abstract: The Internet of Things (IoT) ecosystem generates vast amounts of multimodal data from heterogeneous sources such as sensors, cameras, and microphones. As edge intelligence continues to ...
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 ...
Doctors have been diagnosing schizophrenia for more than a hundred years, but when it comes to treating this serious brain illness, the remedies still fall short. Sure, they can treat the ...
Abstract: As a promising paradigm, federated learning has been applied to multimodal sensing tasks due to its deployment convenience. However, the recent advances in multimodal federated learning ...
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 ...
The leader in homeschool and student-centered education is partnering with Subject to launch a full curriculum for grades 6-12 that’s built to inspire Gen Z learners. DALLAS--(BUSINESS ...
Resources and Learnings from NVIDIA Deep Learning Institute Training on "Rapid Applications Development with Large Language Model" by Vadim Kudlay Introductory deep learning, with comfort with PyTorch ...
In total, 5,708 patients from five randomized phase III trials were included. Two MMAI algorithms were evaluated: (1) the distant metastasis (DM) MMAI model optimized to predict risk of DM, and (2) ...
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