Tumor Diversity Emerges as a Hidden Driver of Chemotherapy Failure in Breast Cancer
A new systematic review finds that high intratumor heterogeneity, measured by single-cell sequencing and MRI radiomics, is consistently linked to ...
A new systematic review finds that high intratumor heterogeneity, measured by single-cell sequencing and MRI radiomics, is consistently linked to ...
Researchers in Bangladesh have developed an explainable deep learning framework that classifies brain tumors on MRI scans in 2.45 milliseconds ...
A new survey of junior psychiatry residents finds persistently low confidence in interpreting brain scans and elevated neurophobia that does ...
A new meta-analysis of 18 studies finds that AI models analyzing preoperative MRI, CT, and PET scans can predict lymphovascular ...
A new correspondence in the Journal of Neuro-Oncology argues that MRI contrast enhancement is an overlooked prognostic variable in IDH-wildtype ...
A study of 141 triple-negative breast cancer patients shows that advection terms in mathematical models best capture tumor cell movement ...
A semi-automated AI segmentation framework converts routine cervical spine MRI into quantitative measures of disc degeneration that correspond with standard ...
A Finnish study finds that faint sounds and movement instabilities recorded from the knee during simple tasks are associated with ...
A dosimetric analysis of 245 skull-adjacent brain metastases shows that CT-based target delineation systematically underestimates tumor extent compared with fused ...
A rare case of dedifferentiated liposarcoma in the thigh that mimicked a hemangioma and then a sterile abscess ended fatally ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine