THE RACE BETWEEN KNOWLEDGE AND DATA IN MEDICINE
Researchers, doctors and biologists benefit from the massive amount of available information as health data becomes digitized. But it also becomes harder and harder for human brains to uncover the complexity and extract insights. Data is generated at a much faster pace than knowledge. This is THE scientific challenge. We need to create the tools to help human collective intelligence extract knowledge from this influx of data. Parts of these technologies already exist, parts need to be invented. OWKIN creates AI technologies to advance knowledge and discover the medicine of tomorrow.
OWKIN TRANSFORMS DATA INTO KNOWLEDGE
AI augments human skills to solve the big data revolution and benefit society. 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 biomedical images, genomics and clinical data to discover biomarkers and mechanisms associated with diseases and treatment outcomes.
OWKIN ENABLES MEDICAL DISCOVERIES
OWKIN’s intelligence learns constantly from heterogeneous data to create unique prediction models for automated diagnostics, prediction of drug response and toxicity, survival prognostics or clinical trials optimization. OWKIN’s brain understands complex data on its own or in relation to external data and knowledge. Our AI technology enriches patients’ data, creates connections and discovers new patterns from this integrated picture. We pride ourselves on high result interpretability, enabling real medical discoveries.
DATA SECURITY & PRIVACY IS A MAJOR CONCERN
OWKIN is pioneering federated learning in healthcare to overcome the data sharing problem, building collective intelligence from distributed data at scale while preserving data privacy and security.
Build predictive models to uncover complex patterns of biomarkers and resistance mechanisms
Design optimal molecules in silico to achieve high affinity/low toxicity
Predict drug response to optimize patient stratification and design faster clinical trials with better outcomes
Find similarities between patients and personalize treatments