My Personal Therapeutics, a London-based medtech/digital therapeutics company and Pentavere Research Group, a Canadian-based Artificial Intelligence and data insight company have been awarded EUREKA Collaborative R&D: AI and Quantum Technologies Competition funding for a project titled “Utilisation of AI to develop Personalised Treatment Plans for cancer”.
EUREKA is a publicly-funded, intergovernmental network, involving over 40 countries. EUREKA’s aim is to enhance European competitiveness by fostering innovation-driven entrepreneurship in Europe, between small and large industry, research institutes and universities.
The companies will receive funding totalling £792,000 from the UK’s innovation agency, Innovate UK, and Canada’s National Research Council’s Industrial Research Assistant Program, as part of their Collaborate R&D programme.
These funds will be used by Pentavere Research Group and My Personal Therapeutics to access Genomics England’s whole genome sequencing lung cancer data set and selectively generate drosophila avatars for high-throughput drug screening. The resulting tumour genomic profile and corresponding drug treatment recommendation data will feed into our AI Personal Discovery Process predictive model. Potentially, some of the funding can support personalised treatment recommendations for lung cancer patients in the UK.
“This Eureka award will partly fund this ground-breaking collaboration between My Personal Therapeutics, Pentavere and Genomics England towards the development of our rapid personalised cancer therapeutics offering – AI PDP” shared My Personal Therapeutics’ CEO Laura Towart.
My Personal Therapeutics is a London based medtech/digital therapeutics company offering personalised cancer therapeutics utilising technology developed at Mt Sinai Medical Center. The Personal Discovery Process technology leverages Big Data curated from electronic health records, and genomics to build personalised fruit fly ‘avatars’ that model individual patients at an unprecedented level of complexity. Using robotics, thousands of drugs are screened in combinations to identify drug cocktails designed to target the tumour while preserving the patient’s quality of life. Nearly all combinations incorporate non-cancer drugs, making them less toxic and more affordable. We are integrating AI/ predictive modelling to enable rapid personalised treatment recommendations.
