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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 ...
Environmental scientists are increasingly using enormous artificial intelligence models to make predictions about changes in weather and climate, but a new study by MIT researchers shows that bigger ...
Cities are particularly vulnerable to heat stress because paved and densely built-up areas tend to store the heat. More frequent and intense heatwaves are a growing challenge for public health and ...
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 ...
8don MSN
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 ...
A research team has developed a novel direct sampling method based on deep generative models. Their method enables efficient ...
El Niño-Southern Oscillation (ENSO) is the strongest interannual variability signal in Earth's climate system. The shifts ...
The arrangement of electrons in matter, known as the electronic structure, plays a crucial role in fundamental but also applied research such as drug design and energy storage. However, the lack of a ...
A team of scientists at Georgia Southern University has combined both spatial and temporal attention mechanisms to develop a new approach for PV inverter fault detection. Training the new method on a ...
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