A call for papers is now open to contribute to the special issue of Frontiers in Physiology entitled: "Multiscale cancer modeling, in silico oncology, in silico psycho-oncology and digital (virtual) twins in the cancer domain"
In silico oncology is a new scientific, technological, and gradually clinical discipline that aims to support cancer prevention, diagnosis, prognosis and patient-specific optimization of eventual clinical interventions or mimic clinical studies through the conduct of in silico experiments, i.e., experiments on a computer. Such experiments make use of models or digital (virtual) twins of parts of - or the entirety of – the human body, and eventually its environment, as well as these models’ natural behavior and/or interactions with candidate intervention(s). The models utilized can be based on mechanistic multiscale modeling and simulation and/or artificial intelligence (AI) modeling and/or advanced statistical modeling. All models must be strictly clinically validated and certified before being used in an actual clinical setting. Virtual (digital) twins for predictive oncology are posing a paradigm shift for precision and personalized cancer care. Cancer patient digital (virtual) twins are expected to reach their full potential to support personalized cancer prevention, diagnosis and prognosis and predict cancer treatment response and resilience after treatment.
Full information can be found here