Episode 9: Beating childhood cancer with in silico medicine

Childhood cancer remains a global challenge. In the 9th Code and Cure video, we explore how in silico models simulate tumour responses to chemotherapy, helping doctors tailor safer, more effective treatments.

Childhood cancer is one of the most feared diseases worldwide, as the stakes are high for the patients, as well as for doctors and families alike. In the 9th video of the Code and Cure series, we will explore how computer (in silico) models can simulate the way a tumour will respond to chemotherapy, to help doctors refine their chemotherapy schemes for fragile patients. To this end, the Nephroblastoma Oncosimulator has been jointly developed by the Paediatric Oncology and Hematology Clinic, Medical School, University of Saarland, Germany and the In Silico Oncology and In Silico Medicine Group, Institute of Communication and Computer Systems, School of Electrical and Computer Engineering, National Technical University of Athens, Greece.

The Technologically Integrated Nephroblastoma Oncosimulator (a digital or virtual twin) has been primarily developed by the research groups led by Research Prof. Dr. Georgios Stamatakos at the National Technical University of Athens, Greece (basic science and technology) and Prof. Dr. Norbert Graf at Saarland University, Germany (clinical drive and guidance and multiscale data). Numerous researchers from several other organizations based in Europe, the US and Japan have also substantially contributed to the joint effort.

If you want to know more about in silico medicine, listen to the podcast The Digital Twin Theory by VPH on Spotify.