Dual-branch AI fuses local and global MRI features to sort brain tumors with 99% accuracy
A dual-path attention fusion network combining Swin Transformer and frozen DINOv2 features reached 99.24% accuracy on a leakage-screened hold-out test ...
A dual-path attention fusion network combining Swin Transformer and frozen DINOv2 features reached 99.24% accuracy on a leakage-screened hold-out test ...
A new open-access study presents a modular web platform that classifies brain tumor MRI scans in real time using a ...
MIT researchers have built an implantable device that pairs a 24-transducer ultrasound array with a drug-delivery cannula to spread therapeutic ...
Researchers have identified a previously unrecognized pineal gland tumor type, provisionally named PINNED, defined by a unique DNA methylation signature ...
A single-center retrospective cohort of 166 adults with newly diagnosed high-grade glioma found that scheduled resection patients spent 8.9 more ...
A 2026 review links lactate-driven protein lactylation to glioblastoma growth, stemness, immune escape and treatment resistance in preclinical models, while ...
Researchers combined a deep autoencoder with K-Means clustering to group brain tumor MRI scans into latent imaging-pattern clusters without any ...
A new Nature Cancer study shows that stroke remodels the brain's tumor microenvironment, creating tumor-associated astrocytes and macrophages that drive ...
A randomized controlled trial of 120 brain tumor patients shows that a nurse-led multimodal rehabilitation program significantly improves swallowing function ...
A new calibration-aware Vision Transformer framework classifies brain tumor MRI scans with over 98 percent accuracy while flagging uncertain cases ...
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine