AI Tool Aims to Personalize Ovarian Cancer Treatment from Diagnosis
AI tool may personalize ovarian cancer treatment from diagnosis, aiding patient response predictions. π€ποΈ
March 7, 2026
Follow us
latest articles
Discover the newest research about AI innovations in π Oncology.
Clinical development of molecular residual disease (MRD) and multi-cancer early detection (MCED) using liquid biopsy multiomics with artificial intelligence (AI).
Revolutionizing cancer detection: AI-driven multi-omics enhances sensitivity for MRD and MCED assays. ππ¬
March 7, 2026
Patients Can Enroll in Cancer Trials Through NHS App
NHS App now allows patients to enroll in cancer trials. This aims to improve treatment access and outcomes. π±ποΈ
February 4, 2026
NHS Launches National Genetics Programme for Cancer Risk Monitoring
NHS initiates a genetics program for cancer risk monitoring, enhancing early detection and tailored patient care. π§¬π
February 1, 2026
Polyphenols as Modulators of Macrophage Polarization: Mechanisms and Therapeutic Potential in Chronic Inflammatory Diseases.
Polyphenols modulate macrophage polarization, targeting key pathways for chronic inflammation and cancer therapy. ππ§¬
January 28, 2026
Advances in Fragment-based Drug Design: Lessons and Innovations from the Post-COVID Drug Discovery Landscape.
Fragment-based drug design revolutionizes drug discovery, enhancing speed and efficiency post-COVID. Key insights from recent research. ππ¬
January 28, 2026
Prediction of renal cell carcinoma: Development and validation of machine learning model.
Machine learning predicts renal cell carcinoma with 95.5% AUC using 21 clinical variables. Early detection improves patient outcomes! ππ
January 26, 2026
Breast cancer frontiers: mapping molecular signals, intelligent diagnostics, and adaptive therapies.
Breast cancer innovations: AI, multi-omics, and personalized therapies enhance treatment precision and patient outcomes. ππ
January 25, 2026
An interpretable deep learning model for predicting endometrial cancer molecular subtypes from H&E-stained slides.
Deep learning predicts endometrial cancer subtypes with 86.7% accuracy, aiding personalized treatment strategies. ππ©Ί
January 23, 2026
One Patient, Two Worlds: Digital Twins for Everyday Prevention and Care.
Digital twins in healthcare: real-time patient replicas enhance early disease detection and personalized care. ππ€
January 22, 2026