New AI Model Enhances Breast Cancer Recurrence Prediction
New AI model improves breast cancer recurrence prediction by analyzing imaging and clinical data. Promising results for patient monitoring. ππ€
November 12, 2025
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Discover the newest research about AI innovations in π Oncology.
Personalized Approaches to Cancer Vaccines Using AI
AI aids in developing personalized cancer vaccines by identifying neoantigens, enhancing immune response against tumors. π§¬π
November 10, 2025
Developments in diagnosis and treatment of early hypopharyngeal carcinoma and precancerous lesions: A review.
Early hypopharyngeal carcinoma: AI and ME-NBI enhance detection; minimally invasive surgery improves outcomes. ππ
November 9, 2025
Modeling Pain Dynamics and Opioid Response in Oncology Inpatients: A Retrospective Study with Application to AI-Guided Analgesic Strategies in Colorectal Cancer.
AI models predict pain relief in colorectal cancer patients: 73.8% improved, AUC 0.9167. Key insights from PubMed study. ππ
October 30, 2025
AI Model Suggests 40% of Breast Cancer Patients May Skip Axillary Surgery
AI model suggests 40% of breast cancer patients may avoid axillary surgery. This could reduce unnecessary procedures. π€π
October 19, 2025
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
October 16, 2025
AI Tool Accurately Differentiates Glioblastoma from Similar Brain Tumors During Surgery
AI tool PICTURE accurately differentiates glioblastoma from similar brain tumors during surgery, aiding timely treatment decisions. π§ π
October 13, 2025
The Role of Immune Checkpoint Inhibitors in Cancer Therapy: Mechanism and Therapeutic Advances.
Immune checkpoint inhibitors revolutionize cancer therapy, yet challenges like efficacy variability and adverse events persist. ππ
October 9, 2025
Development of Machine Learning Systems to Predict Cancer-Related Symptoms With Validation Across a Health Care System.
Machine learning predicts cancer symptoms effectively, with AUROCs from 0.66 to 0.73 across 82 centers. ππ€
September 26, 2025
Detection and score grading for prostate adenocarcinoma using semantic segmentation.
Prostate cancer detection improved: 92% accuracy using deep learning on 100 biopsy images. ππ¬
September 20, 2025