TitlePredictive Oncology via Engineering Modeling
Project id.58
Reference sectorBIOTECHNOLOGY
IP Protection Levelunder deployment
Description of the innovation projectIn spite of the molecular scale of the present-day “omics” technology, with our technology we address a larger scale, by describing the on-set of cancer at the microscopic (tissue) scale, given the mathematical description of tumor proliferation in continua. Nobody has ever attacked cancer virtualization by means of off-the-shelf engineering software. Such a tool will allow: -oncologists to realize at will virtual scenarios of the disease -pharma companies to experiment perspective drugs in new, sustainable ways -tissue features (with inherent anisotropies) to be assumed to explain the on-set of vascularization and therefore, in perspective, angiogenesis and metastasis
State of dev.Model
Industrial applicationBiotechnology and life science
Market segmentPharma, research hospitals: 10k Eur for each personalized patient, 50% return approx., great potential of scale-up to classes of patient/cancer coupling
Advantage factorWhen scaled up to production, great reduction of cost with reference to existing research solutions
Commercial challengeOur approach will allow for decrements of cancer predictions costs by orders of magnitude (with reference to research studies in the available literature) and require much less maintenance effort. This way, the number of patients to be virtualized and cured will increase greatly, as the number of products/licenses sold
Publications and Customer ReferecesAlready granted 2 consultanship vouchers by the PERMIDES cluster (funded by H2020 grant no 691546). Our modeling scheme follows closely Tang et al., Computational Modeling of 3D Tumor Growth and Angiogenesis for Chemotherapy Evaluation, PLOSone January 2014 Volume 9 Issue 1

Proposal of cooperation agreementKnow how transfer, Venture capital financing