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 : RNA binding proteins in the pathogenesis of pediatric cancer
Atif A Ahmed, University of Washington-Seattle Children’s Hospital, United States
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 :
Jianhua Luo, University of Pittsburgh, United States
Title : Biosensor-based detection of cancer biomarkers
Michael Thompson, University of Toronto, Canada
Title : Principles of oral rehabilitation in H&N cancer patients
Pietro Salvatori, Independent H&N Surgeon, Italy
Title :
Marika Crohns, Impactful Innovations Management Consultants LLC, United Arab Emirates