Discover the newest research about AI innovations in π Oncology.
π Retinoblastoma biomarkers research shows steady growth, with China leading publications. Key hotspots include liquid biopsy and AI integration. π¬
AI enhances oncology from risk assessment to treatment, improving accuracy and personalization. Key challenges include validation and data security. π€ποΈ
Deep learning enhances ccRCC diagnosis with 96.67% accuracy, revealing TME’s role in immunotherapy response. ππ§¬
Fecal microbiota impacts lung cancer immunotherapy response. Key taxa identified: Bacteroides caccae, Prevotella copri. ππ¦
Integrating mHealth in oncology trials boosts patient engagement and data collection. π±π Key for equitable access!
New digital platform launched to address health disparities. π HARP provides data and resources for healthcare organizations. π₯
OncoTrace-TOO achieves 96.7% accuracy in cancer tissue identification, enhancing clinical diagnostics with interpretable molecular insights. π§¬π
Exploring the link between oral microbiota and cancer: 10% of tumors linked to pathogenic bacteria. π¦ π¦·
π AI’s Role in Oral Cancer Research: 351 Articles Analyzed Over 30 Years! π¦· Significant Growth & Insights for Future Practices!
AI tool iSeg enhances lung tumor mapping for radiation therapy, improving accuracy and patient outcomes. π©Ίπ»
