Discover the newest research about AI innovations in 🎗 Oncology.
Deep learning enhances MGMT status prediction in glioblastomas using multiparametric MRI. Promising accuracy for treatment decisions. 🧠📊
AI model detects brain cancer spread non-invasively using MRI scans, achieving 85% accuracy. Promising for future clinical applications. 🧠🔍
Delta-radiomics enhances predictive accuracy in adrenal metastases treatment. Machine learning classifiers show promise in disease progression. 📊🔍
Innovative lung cancer treatments are emerging. 🫁 Immunotherapy, precision medicine, and AI show promise for better patient outcomes. 🌟
Machine learning shows promise in pediatric oncology, enhancing diagnosis and treatment. Review highlights current advancements and challenges. 🤖🎗️
New AI model SCORPIO predicts cancer immunotherapy success using routine blood tests. This tool aims to improve patient treatment decisions. 🩸💡
Antibody-drug conjugates (ADCs) show promise in cancer therapy but face challenges like toxicity and resistance. 🧬💉
New research highlights the importance of combining clinical, pathological, and radiological data for better NSCLC immunotherapy outcomes. 📊💉
AI is enhancing radiotherapy precision for prostate cancer, potentially improving treatment outcomes and standardizing care. 🩺🤖
Health Tech Insights: Expectations for 2025 📊
Anticipation grows for NHS digital health advancements, focusing on data-driven care, integrated systems, and AI innovations. 🏥✨
