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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How multimodal AI is reshaping science learning
Multimodal large language models are beginning to transform science education by combining text, visuals, audio, and other data to enrich teaching and learning. From analyzing classroom interactions ...
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 ...
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 ...
Accurate detection of PIK3CA mutations is essential for personalizing breast cancer treatment, particularly with ...
Identification of a Suitable Subgroup for Radiation Dose Escalation in Definitive Concurrent Chemoradiation Therapy for Nonmetastatic Esophageal Squamous Cell Carcinoma The median follow-up for ...
The new MMAI risk grouping system can potentially reduce overtreatment and undertreatment of localized prostate cancer. Deep learning multimodal artificial intelligence (MMAI) models outperformed ...
Reflecting on the developments of 2024, this year has been transformative for the entire educational landscape. We’ve witnessed how the thoughtful integration of artificial intelligence can elevate ...
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Teaching machines to see: How AI is transforming computer vision and deep learning research
Digital systems are expected to navigate real-world environments, understand multimedia content, and make high-stakes ...
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