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Multimodal deep learning model improves risk prediction for cervical cancer radiotherapy decisions
Standard concurrent chemoradiotherapy (CCRT) for cervical cancer achieves disease-free survival (DFS) in approximately 70% of patients with locally advanced disease; however, nearly 30% still ...
Flexynesis uses deep learning to evaluate multi-omics data as well as specially processed texts and images, including CT or ...
Nearly 50 new cancer therapies are approved every year. This is good news. "But for patients and their treating physicians, ...
Researchers develop multimodal deep learning model to enhance precision radiotherapy decision-making
Researchers developed a deep learning-based multimodal prognostic model that shows strong potential to improve disease-free survival prediction and enable personalized treatment in locally advanced ...
The success of a deep learning-based network intrusion detection systems (NIDS) relies on large-scale, labeled, realistic traffic. However, automated labeling of realistic traffic, such as by sand-box ...
Researchers have developed a new tool to more precisely guide cancer treatment. Described in a paper published in Nature ...
In the rapid development of smart home technology, Sichuan Zhiyuanji Technology Co., Ltd. recently applied for an innovative patent titled "Smart Home Control Method and System Based on Multimodal ...
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 ...
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 ...
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