Neuroimaging provides a means for identifying and measuring the structure and function of the brain. Different non-invasive imaging measurements reveal different characteristics of the nervous system, ...
A research paper by scientists from Beihang University proposed a machine learning (ML)-driven cerebral blood flow (CBF) prediction model, featuring multimodal imaging data integration and an ...
Autism spectrum disorder (ASD) is a growing global concern, affecting approximately 2.8% of children in the United States and 0.7% in China. ASD is characterized by challenges in social interaction, ...
Abstract: Advancing Multimodal AI for Integrated Understanding and Generation explores the transformative potential of multimodal artificial intelligence (AI), which integrates diverse data types such ...
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CT-based quantification of tumor fibrosis guides chemotherapy in pancreatic cancer
On October 3, 2025, a multicenter team from Shenzhen University, Xiangya Hospital of Central South University, Zhujiang Hospital of Southern Medical University, Wuxi People's Hospital Affiliated to ...
Rutgers researchers found that the distribution of neural timescales across the cortex plays a crucial role in how ...
View Heidelberg Engineering’s latest innovations in ophthalmic imaging for research, clinical practice, and ophthalmic surgery at the ARVO 2025 Annual Meeting May 4-8 in Salt Lake City, Utah.
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