Syntropy breaks down data silos in a researcher’s workflow, integrating data sets from different sources – often disparate and incompatible – to help them make sense of, and use their data.
Once individuals can effectively work with their own data, Syntropy helps accelerate research across an institution by integrating data sets from different departments, while secure permission and attribution technology ensures originators retain complete control.
When one institution needs broad and deep data from another to bridge a research gap, Syntropy provides a platform for secure collaboration. Clear data lineage and accreditation means every researcher can leave their individual mark on science while creating collective impact.
Designed to the highest security and privacy standards, Syntropy provides a trusted environment to meet all the major challenges of data management, governance, stewardship and sharing that healthcare organizations face today. By enabling collaboration on data without ever taking ownership of it, we aim to serve the collective higher purpose of accelerating research into devastating disease.
Within the Syntropy platform, data is an evolving asset, incorporating analyses from every researcher and clinician who handles the data to ensure its value and impact compound over time.
Through these partnerships, life science companies gain access to unparalleled high-fidelity data that captures its full context and the irreplaceable first-hand acuity of its creators. And even in hard-to-track patient populations, partners can aggregate fit-for-purpose cohorts for precision studies.
WHAT SYNTROPY ENABLES
Identify novel and predictive disease biomarkers, mechanisms of action and treatment-resistance pathways.
Molecular and outcome monitoring, disease pattern examination and therapeutic efficacy observations.
Transform case data across departments and institutions into common data models to supplement existing databases.
WHAT SYNTROPY ENABLES
Identify target biomarkers and inform translational research design.
Clinical trial data integration, response prediction, label expansion and pragmatic trial or synthetic controls. Create dynamic, choice cohorts for specific use cases.
On-market support, effectiveness monitoring, pharmacovigilance data and competing therapy identification.
HOW WE OPERATE
High-quality data offers extraordinary opportunities in tackling devastating disease. However, it is critical that we approach the use of data, especially sensitive patient data, with clear sets of ethical principles – entirely distinct from the current big tech approach. This is why we are working closely with academic institutions and thought leaders to establish a common standard on applied digital ethics in the healthcare sector that will reinforce our status as a trusted partner, while sustainably guiding our business.
Using cutting-edge technology, we have designed a solution where collaborative research and the safeguarding of patient data can go hand in hand. Our data protection and security offerings complement our core commitment to patient privacy and ethical data science.
At Syntropy, compliance with patient privacy regulations is just the starting point. We hold ourselves to strict ethical standards, ensuring that the innovative research we enable can be done both safely and responsibly. The platform’s robust security architecture enables scientists to effectively collaborate on research, while granular access controls ensure that the original owner of a data asset retains full control, even in dynamic environments.