REPO-TRIAL

The AI engine Fit Assessment

Beta

REPO-TRIAL effectively leverages machine learning to discover new therapeutic uses for existing drugs, enhancing their value and application in clinical settings.

Blurb

Our project develops a computerized (in silico) approach to optimise the efficacy and precision of drug repurposing trials.

HQ Location

Netherlands

Founded

2018

Employees

2

Total funding raised

Not available

Last Funding Event

Not available

Smart insights

  • Catherine Msc (Chief People Officer) worked at Lilium as Head of People Business Partnering for 1.5 years (2021 - 2022)
  • Val Miftakhov (Founder & CEO) worked at Google in various roles, including Head of R&D, Google for Work Incubation, for a total of 4 years (2012 - 2016)
  • 6m headcount growth: 25%
  • 1Y headcount growth: 94%
  • Headcount-to-last-round ratio: 5.3 employees/$M
Subspaces
  • Drug Repurposing

Our project develops a computerized (in silico) approach to optimise the efficacy and precision of drug repurposing trials.



De novo drug design requires 10 to 15 years until market entry. We want to help patients faster and more efficiently. In comparison to de novo drug design, drug repurposing can happen much faster, costs less, and imposes a lower risk. The time for validation of a known drug’s potential new purpose is significantly reduced because less or no animal experiments are required, clinical studies can be conducted sooner, potential side effects are already known. So far, finding a new use for an old drug (drug repurposing) has been a serendipitous process. REPO-TRIAL aims to improve the efficacy and precision of predicting new purposes for registered drugs by using a revolutionary in silico approach. We use computer-based algorithms and an innovative definition of diseases to screen for potentially beneficial effects of registered drugs in mechanistically related disease phenotypes. We then validate promising in silico-repurposed candidate drugs up to the clinical level. The algorithms that we use to identify mechanistically related disease phenotypes may include completely different organs or areas of the human body than the original was used for. This systems-based (integrative / whole-body) approach will create “virtual patient cohorts”. Finally, we will validate in silico repurposed drugs in actual clinical studies with real patients and high precision. Because validation of all new drug repurposing opportunities would be unrealistic, we will focus on a patient cohort that the REPO-TRIAL consortium understands very well (a) metabolic and cerebrocardiovascular disease phenotypes, such as stroke, diabetes or Alzheimer’s, or b) patients that are positive for a specific panel of diagnostic blood biomarkers that can be measured in the laboratory).



REPO-TRIAL will provide rapid patient benefits, reduce drug development time & costs, and reduce risks.