About this Research Topic
More recently, a framework for Cancer Patient Digital Twins (CPDTs) has been proposed. This framework of CPDTs is the virtual presentations of cancer patients - the combination of real-time patient-level data, such as multi-omics, clinical characteristics, computing modelling, simulation, and model inference to make treatment prediction and individual healthcare decisions for cancer patients. Such a framework could apply to a relapsed or treatment resistance cancer patient who is seeking the best treatment plan. The patient’s multi-omic, image, and pathological data collected can be used to build a digital twin to simulate various clinical scenarios, including drug combinations, doses, side effects, and durations for treatment plans and preferences. The outcome will then be presented in a human-understandable format to the patient and clinician. CPDTs will continuously account for the evolving cancer state, thereby improving outcomes and patient-clinician interaction.
With the advances in new technologies to profile each individual patient, especially big data and digital twins, we believe this will provide cancer research around the world, an ideal platform to share their exciting findings.
We invite authors to submit perspective, original research, methodologies, short report, and review articles that will help improve diagnosis, treatment plans, clinical outcome, and management strategies in cancers through the use of CPDT. Potential topics can include, but are not limited to:
1. the potentials of CPDT in oncology and healthcare applications
2. methodology approaches including integration of multimodal and multiscale data for the use of CPDT and mechanistic modelling in cancers
3. reviews on the development challenges of using CPDT and its open research directions
Keywords: precision medicine, predictive medicine, oncology, digital twins, machine learning, artificial intelligence, dynamical system modelling, mathematical modelling, statistical modelling
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.