Artificial Intelligence (AI) is revolutionizing cancer research and care by enabling more accurate diagnoses, personalized treatments, and enhanced patient outcomes. Machine learning algorithms are being used to analyze vast amounts of medical data, such as imaging scans and genetic profiles, to detect early signs of cancer that might be missed by human clinicians. AI also aids in identifying potential biomarkers and predicting how cancers will respond to various therapies, allowing for the development of tailored treatment plans. Moreover, AI-driven systems can automate administrative processes, boosting efficiency and reducing the workload in oncology clinics. As AI continues to evolve, its ability to uncover new insights in cancer biology and treatment holds immense potential, making it an essential tool in the fight against cancer.
Title : A novel mRNA genomic technology for precision medicine, early cancer diagnosis, prognosis, treatment follow-up and cancer gene therapy
Rajvir Dahiya, University of California San Francisco, United States
Title :
Sandrine Lacombe, University of Paris-Saclay, France
Title : RNA binding proteins in the pathogenesis of pediatric cancer
Atif A Ahmed, University of Washington-Seattle Children’s Hospital, United States
Title : Molecular-genetic study of low-grade and high-grade “basal-like” (triple-negative) breast carcinomas
Farid Moinfar, Ordensklinikum Linz Barmherzige Schwestern, Austria
Title : Updates on cancer research for detection and management
Patricia Tai, UpToDate, United States
Title : Principles of oral rehabilitation in H&N cancer patients
Pietro Salvatori, Independent H&N Surgeon, Italy