THE BIG DATA REVOLUTION
With the big data revolution, the medical and scientific communities have more information to work with than in all of history combined. However, with such a wealth of information, it is increasingly difficult to differentiate productive leads from dead ends.
OWKIN RESPONDS BY MAKING DATA MORE EFFICIENT
Artificial intelligence and machine learning powered by systems biology can organize, validate, predict and compare the overabundance of information. OWKIN builds mathematical models and algorithms that can interpret omics, visual data, biostatistics and patient profiles like never before.
« DATA PRIVACY IS A MAJOR CONCERN »
OWKIN is pioneering federated learning in healthcare to overcome the data sharing problem, building collective intelligence from distributed data.
WE ACCELERATE DRUG DISCOVERY AND OPTIMIZE DRUG DEVELOPMENT TO HELP INDIVIDUAL PATIENTS.
OWKIN IMPROVES OUTCOME VIA PREDICTIVE ANALYTICS AND MACHINE LEARNING.
OWKIN learns constantly from heterogeneous data to create unique prediction models, such as those for automated diagnostics, prediction of drug response and toxicity, survival prognostics or clinical trials optimization. OWKIN understands complex data on its own, or in relation to other sets of external data and knowledge. Each patient’s data is “enriched”: when all other available information is overlapped, and our technology detects new patterns from this integrated picture.
Build predictive models to uncover complex patterns of biomarkers
Design optimal molecules in silico to achieve high affinity/low toxicity
Predict drug response to design precision clinical trials with optimal outcomes
Improve precision medicine finding similar patients