
Leveraging Sarcopenia index by automated CT body composition analysis for pan cancer prognostic stratification.
Automated CT analysis reveals Sarcopenia Index as a key prognostic factor for overall survival in cancer patients. ππͺ
Discover the newest research about AI innovations in π Oncology.
Automated CT analysis reveals Sarcopenia Index as a key prognostic factor for overall survival in cancer patients. ππͺ
AI tool PICTURE accurately differentiates glioblastoma from similar brain tumors during surgery, aiding timely treatment decisions. π§ π
Immune checkpoint inhibitors revolutionize cancer therapy, yet challenges like efficacy variability and adverse events persist. ππ
Machine learning predicts cancer symptoms effectively, with AUROCs from 0.66 to 0.73 across 82 centers. ππ€
Prostate cancer detection improved: 92% accuracy using deep learning on 100 biopsy images. ππ¬
Exploring multi-modal medical image fusion: Enhancing diagnostic accuracy through advanced algorithms and clinical applications. π©Ίπ
AI Revolutionizes Lung Cancer Diagnosis & Treatment: Promising Early Detection & Personalized Care Insights! π«π€
New deep learning tool, Flexynesis, improves cancer treatment precision by analyzing multi-omics data and medical images. π§¬π»
Revolutionary ACP-EPC model predicts anticancer peptides with 93.5% accuracy! π Explore its deep learning framework and features! π§¬
AI in surgery: Multimodal data integration shows promise but faces infrastructure and regulatory challenges. π€π