Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work ...
Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...
Identifying optimal catalyst materials for specific reactions is crucial to advance energy storage technologies and sustainable chemical processes. To screen catalysts, scientists must understand ...
Abstract: Advancing Multimodal AI for Integrated Understanding and Generation explores the transformative potential of multimodal artificial intelligence (AI), which integrates diverse data types such ...
Trends in immune-related adverse event reporting among multidisciplinary cancer programs. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does not include a full ...
Researchers combine AI and mobile health to predict recovery from lumbar spine surgery. Researchers who had been using Fitbit data to help predict surgical outcomes have a new method to more ...
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 ...
According to the authors, incorporating a broad spectrum of biomarkers allows the models to reflect the continuous and ...
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