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 blood-based mRNA genomics technology for cancer diagnosis and treatment
Rajvir Dahiya, University of California San Francisco, United States
Title : A case-based approach using IMPeTUs criteria in FDG PET/CT reporting of multiple myeloma
Mudalsha Ravina, All India Institute of Medical Sciences, India
Title : Unveiling the synergism of radiofrequency therapy and graphene nanocomposite in tumor cell viability assay
Paulo Cesar De Morais, Catholic University of Brasilia, Brazil
Title : Transforming cancer care: Innovations, integrations, and impact
Shayan Maqsood, Jamia Hamdard University, India
Title : Genetic and epigenetic alterations of SOX7 in multiple myeloma and allied neoplasms
Can Küçük, Dokuz Eylul University, Turkey
Title : Advanced nanoparticles, the hallmark of targeted drug delivery for osteosarcoma
Shayan Maqsood, Jamia Hamdard University, India