Quantum-Inspired Attention Meets Retinal Imaging in a Strikingly Honest AI Study
A dual-branch deep learning framework called QICAF-Net borrows the mathematics of quantum states to fuse retinal image features, achieving competitive ...
A dual-branch deep learning framework called QICAF-Net borrows the mathematics of quantum states to fuse retinal image features, achieving competitive ...
Researchers have unveiled an unsupervised deep learning framework that clusters retinal fundus images by disease using only image-level labels, achieving ...
A comprehensive review finds that the lipid-lowering drug fenofibrate shows strong clinical evidence for slowing diabetic retinopathy and promising preclinical ...
Researchers combined diffusion-generated synthetic retinal images, contrastive self-supervised pre-training, and a five-model ensemble to reach 95.1 percent accuracy in diabetic ...
A new meta-analysis of nearly 2.9 million people with diabetes finds that diabetic retinopathy is associated with a 55 percent ...
New research shows the plant compound acteoside protects retinal pigment epithelial cells and diabetic mouse retinae from iron-dependent ferroptotic damage ...
New mouse research shows that removing the protein lipocalin-2 from blood vessel cells curbs the destructive retinal vessel growth of ...
A multicenter Chinese study of 516 patients finds that corneal nerve fiber damage varies across Ahlqvist-based diabetes subtypes and is ...
A mitochondrial-derived peptide called MOTS-c protects retinal blood vessels in diabetic retinopathy by activating the phospholipase PLA2G6 to clear damaging ...
Researchers in India have built a hybrid graph neural network framework that converts retinal images into graph structures, achieving up ...
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© 2025 Scienmag - Science Magazine