2nd Edition of International Cancer & Immuno-Oncology Conference
March 19-21, 2026 | Singapore
Early Detection Of Cancer
Detecting cancer at an early stage is crucial for effective treatment and improved outcomes. Researchers are continually advancing methods for early detection, ranging from innovative imaging technologies to liquid biopsies that analyze circulating tumor cells or DNA fragments in the blood. Emerging biomarkers and molecular signatures offer promising avenues for early detection, often detecting cancer before symptoms manifest. Artificial intelligence and machine learning algorithms are also revolutionizing cancer diagnosis by rapidly analyzing vast amounts of data to identify subtle patterns indicative of cancer. Integrating these technologies with traditional screening methods enhances accuracy and enables personalized approaches tailored to individual risk profiles. Early detection not only increases survival rates but also reduces the need for aggressive treatments, ultimately improving the quality of life for cancer patients.
Rajvir Dahiya
University of California San Francisco, United States
Atif A Ahmed
University of Washington-Seattle Children’s Hospital, United States
Anyou Wang
DIFIBER LLC, United States
Paulo Cesar De Morais
Catholic University of Brasilia, Brazil
Allen Chen
Olympic Medical Center, United States
Shilpa S Dhar
UT MD Anderson Cancer Center, United States
Ritu Khanna
University of Manchester, United KingdomSubmit your abstract Today
Title : A novel blood-based mRNA genomics technology for cancer diagnosis and treatment
Rajvir Dahiya, University of California San Francisco, United States
Title : tRNA-derived fragment 3′tRF-AlaAGC modulates cell chemoresistance and M2 macrophage polarization via binding to TRADD in breast cancer
Feng Yan, The Affiliated Cancer Hospital of Nanjing Medical University, China
Title : Integrating single-cell and spatial transcriptomics to uncover and elucidate GP73-mediated pro-angiogenic regulatory networks in hepatocellular carcinoma
Jiazhou Ye, Guangxi Medical University Cancer Hospital, China
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 : Analysis of the dynamic evolution and influencing factors of nutritional risk in breast cancer patients during treatment
Jingwen Yan, Sun Yat-sen University, China
Title : Integrative multi-omics reveals metabolic–stemness coupling and novel therapeutic targets in osteosarcoma chemoresistance
Jinyan Feng, Tianjin Medical University Cancer Institute and Hospital, China