Innovative technologies are revolutionizing cancer research, driving advancements in diagnosis, treatment, and drug development. Artificial intelligence (AI) and machine learning are transforming early detection by analyzing complex imaging data and predicting treatment outcomes with greater accuracy.
Next-generation sequencing (NGS) is unlocking insights into genetic mutations, enabling personalized therapies tailored to individual cancer profiles. CRISPR-Cas9 gene editing offers groundbreaking potential by targeting and correcting genetic errors linked to cancer development.
Meanwhile, 3D bioprinting and organ-on-a-chip technologies are creating precise tumor models, accelerating drug testing while reducing reliance on traditional methods. Advances in immunotherapy, powered by deep molecular insights, are enhancing the immune system’s ability to fight cancer. These innovations are reshaping cancer research, offering hope for better treatments and improved patient outcomes.
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 : RNA binding proteins in the pathogenesis of pediatric cancer
Atif A Ahmed, University of Washington-Seattle Children’s Hospital, 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 : The role of artificial intelligence (AI) in oncology
Marika Crohns, Impactful Innovations Management Consultants LLC, United Arab Emirates