
The Role of Machine Learning Approaches in Pediatric Oncology: A Systematic Review.
Machine learning shows promise in pediatric oncology, enhancing diagnosis and treatment. Review highlights current advancements and challenges. π€ποΈ
Discover the newest research about AI innovations in π Oncology.
Machine learning shows promise in pediatric oncology, enhancing diagnosis and treatment. Review highlights current advancements and challenges. π€ποΈ
New AI model SCORPIO predicts cancer immunotherapy success using routine blood tests. This tool aims to improve patient treatment decisions. π©Έπ‘
Antibody-drug conjugates (ADCs) show promise in cancer therapy but face challenges like toxicity and resistance. π§¬π
New research highlights the importance of combining clinical, pathological, and radiological data for better NSCLC immunotherapy outcomes. ππ
AI is enhancing radiotherapy precision for prostate cancer, potentially improving treatment outcomes and standardizing care. π©Ίπ€
Health Tech Insights: Expectations for 2025 π
Anticipation grows for NHS digital health advancements, focusing on data-driven care, integrated systems, and AI innovations. π₯β¨
AI’s role in medical education is growing. A recent study found ChatGPT’s accuracy at 59% for GESEA tests. π€π
AI-enhanced 3D body composition analysis improves chemotherapy toxicity predictions in colon cancer patients. Promising for patient care! ππ
AI models enhance breast cancer risk stratification and immunotherapy response through lncRNA analysis and multimodal data integration. ππ‘
New mammogram analysis improves breast cancer risk prediction by 2.3 times, aiding early detection and treatment. πποΈ