Cancer treatments are frequently inaccurate as they can fail to precisely match with each specific patient/disease coupling. "CancerMate", stemming from the CAPTURE project that was rewarded in the INNOLABS cluster of Horizon2020, is an application that applies to this complex scenario of cancer growth and fight: we aim to reduce the cost of cancer treatment for the society as a whole.
Heading to convergence of diagnostic imaging, assay data and biomathematics, we aim to computational prognosis of tumors. Built for oncologists and surgeons in hospitals, and researchers in pharmaceutical and health care equipment industries, CancerMate is a game-changing tool, inspired by human physiopathology: CancerMate empowers the informed decisions on possible outcomes and optimal response to therapy, for each situation at stake.
Starting from diagnostic images of a given avascular cancer in a real patient, CancerMate models can run at low cost on standard desktop computers, any proliferation/therapy scenarios on that patient’s replica with our virtual reality (VR) engine. With this, CancerMate predicts the evolution in time (into days or months ahead) of that particular cancer, under a number of hypotheses (such as the choice of a VEGF inhibitor, whose pharmacokinetics/dynamics features can be computationally available).
Currently tested in relevant environment (real hepatocellular carcinoma or NH lymphomas), CancerMate creates immersive experiences when complemented by head-mounted-displays for augmented reality (AR), ultimately enforcing medical doctors’ judgement-knowledge on the therapy outcome.
CancerMate casts a portal of cancer proliferation and its fighting drugs within the representation of a real patient’s body. Featuring a multiplicity of tuning parameters, as consolidated and validated by the interaction with medical doctors and researchers, CancerMate facilitates the administration of the most promising clinical therapy to the specific situation.
In the end, with its easy-to-use graphical front-end and VR/AR ability, CancerMate can provide easy access to every tuning knob and disease outcome in 3D representations, for unparalleled informed and immersed decision strategies in personalized oncology. CancerMate will also yield a more favorable economic outcomes for the health administration bodies: down to about 30% in some cases of breast cancer, for example, when the surgery is avoided due to therapy optimization.