Knowledge about complex physiology processes, such as disease mechanisms or drug action, is valuable and detailed but overwhelming in quantity and poorly managed. Harnessing such knowledge is critical for both biomedical education and pharmaceutical R&D efforts such as drug discovery, drug development and pharmacovigilance.
Physiology knowledge is typically captured in either of two major forms, as (1) text in the literature, or (2) mathematical models. Both forms have drawbacks. Literature disperses knowledge over vast tracts of writing, creating enormous navigational difficulties due to the disorganised nature of free text.
The development of precise computer, readable and processable mathematical models from the literature requires considerable effort and produces a rich form of knowledge that is however too complicated to be accessible by the majority of biomedical professionals. Pharmaceutical R&D is heavily reliant on mathematical models to predict the behavior of physiology processes. The mainstream biomedical education market is yet to discover the power of mathematical models to interactively convey physiology knowledge. Bridging the gap between education and R&D is a significant opportunity that BioMaps is well placed to exploit.
The BioMaps team has extensive experience in pharmaceutical and bioengineering R&D, and has developed patent pending semantic visualisation technology to:
- harness the wealth of existing mathematical models of physiology to establish a leadership position in the biomedical education market, and
- simplify physiology knowledge management and support the development of physiology models in the pharmaceutical R&D market.
The first step in the commercialisation strategy is the targeting of training methods in physiology education, where visualisations and interactive modeling for teaching are highly prized. This early phase step provides the opportunity to educate future users of our technology in the pharmaceutical industry, generate turnover, fund our pharmaceutical tool development effort, stimulate demand, create widespread brand awareness, gain valuable user feedback and elicit crucial market information. The long term market goal for BioMaps is to develop and commercialise visual physiology knowledge management tools in support of pharmaceutical R&D within 4 years of operation. This business strategy makes for a promising investment proposition in that the BioMaps business model has low start up costs, short time to market, and a forecast of x5 net revenue increase by year 7.
The BioMaps team spans the Universities of Leiden (NL), Auckland (NZ) and University College London (UK). The BioMaps expertise is built on the team’s well honed experience in computer science, bioengineering, bioinformatics, physiology modeling, pharmaceutical knowledge management, clinical medicine, Oscar winning Computer Generated Image animations and business development.