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Liquid Tumor Models and In Silico Simulations

Liquid biopsy techniques, which analyze biomarkers in blood or other body fluids, are emerging as a powerful tool in cancer research and clinical practice. These non-invasive methods allow for the detection of genetic mutations, tumor DNA, and other biomarkers associated with cancer, providing a snapshot of the tumor’s genetic makeup without the need for invasive tissue biopsies. In addition, liquid tumor models, along with computational simulations (in silico), offer the ability to study cancer in a more dynamic and real-time manner. By simulating tumor growth and treatment responses virtually, researchers can test potential therapies and predict outcomes more accurately. This combination of liquid biopsy and in silico models could lead to more personalized, timely, and effective treatment strategies for cancer patients.

Committee Members
Speaker at International Conference on Clinical & Translational Oncology 2026 - Yan Leyfman

Yan Leyfman

NYP- Meyer Cancer Center, United States
Speaker at International Conference on Clinical & Translational Oncology 2026 - Rajvir Dahiya

Rajvir Dahiya

University of California San Francisco, United States
Speaker at International Conference on Clinical & Translational Oncology 2026 - Jianhua Luo

Jianhua Luo

University of Pittsburgh School of Medicine, United States
ICTO 2026 Speakers
Speaker at International Conference on Clinical & Translational Oncology 2026 - Pietro Salvatori

Pietro Salvatori

Formerly, Humanitas San Pio X Hospital, Italy
Speaker at International Conference on Clinical & Translational Oncology 2026 - Sergey Suchkov

Sergey Suchkov

N.D. Zelinskii Institute for Organic Chemistry of the Russian Academy of Sciences, Russian Federation
Speaker at International Conference on Clinical & Translational Oncology 2026 - Shinya Tajima

Shinya Tajima

National Hospital Organization Shizuoka Medical Centre, Japan
Speaker at International Conference on Clinical & Translational Oncology 2026 - Nayara Delgado Andre

Nayara Delgado Andre

Federal University of São João del-Rei (UFSJ), Brazil
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