Reconstructing functional brain networks from functional Magnetic Resonance Imaging (fMRI) data typically relies on statistical pruning, where pairwise correlations between brain Regions of Interest (ROIs) are independently thresholded, ignoring pote... read more
Skin aging involves complex molecular changes that current strategies struggle to reverse. Here, we developed a machine learning approach using Support Vector Regression to predict biological skin age from proteomic profiles, enabling objective asses... read more
This work introduces SqueezeViT (Squeeze Vision Transformers), a compact yet effective architecture based on Vision Transformers (ViT) designed for chest X-ray (CXR) image classification. In contrast to traditional ViT architectures, which are comput... read more
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.