This month we at TrïalTwïn™ attended the PHUSE/FDA Computational Science Symposium at the Civic Centre in Silver Spring, Maryland.
Along with other attendees from a broad range of organizations in the PHUSE community, we were fortunate to present and to learn from other participants on a rich array of new tools, solutions and best practices. Among the topics presented on were bioinformatics platforms, regulatory requirements, and the latest findings from academia and industry in drug development.
The variety of material presented was matched by its quality, thanks to the many distinguished CSS attendees from the life sciences industry who contributed, from biostatisticians, clinical pharmacologists, physicians, epidemiologists, data-management professionals, programmers, from representatives of government organizations to those from information management companies like ourselves.
The team at TrïalTwïn™ present in Maryland
We had the opportunity to exhibit the latest advances in our TrïalTwïn™ platform at our own booth. Our CTO José C. Lacal, and Diego Caso, a key member of our Development Team, demonstrated some of the new functionality our software provides, including mapping synthetic patient journeys, from screening, through simulating realistic adverse events, to completion or discontinuation of treatment within a trial.
Our TrïalTwïn™ synthetic health data
We offered demos of our TrïalTwïn™ database-driven software platform that generates realistic synthetic health data from ALS files, to enable our clients to test their clinical trials more quickly and easily.
Creating synthetic clinical trials
At the PHUSE CSS event in Maryland we also presented publicly on how we have already used our TrïalTwïn™ platform to generate synthetic health data for the 39K active clinical trials in the US.
We demonstrated how our synthetic data accommodates all the necessary parameters, including number of subjects, arms, and date ranges.
What is PODR about?
PODR is the PHUSE Open Data Repository created by NIHPO, using Microsoft’s cloud-based hardware to centralize open data from multiple government agencies.
PODR enables the structure and functionality of a Python-based platform which generates synthetic health data at scale from real-world data. This mock synthetic health data provided by NIHPO is fully realistic, and assists greatly in software development and testing, and in evaluating the treatment of corner cases.
Early adopters report that synthetic health data, generated at speed and at scale, shortens Quality Assurance cycles, and enables end-to-end system validation before FPI. Crucially, synthetic health data carries no copyright, and no legal, privacy, or regulatory restrictions.
The synthetic health data generated provides the ability for the end-to-end testing of clinical trials by providing synthetic subjects (SynthPerson™), each with a fully realistic medical history (SynthPHR™), and with SDTM test data (SynthTrial™).
Our platform allows any organization running clinical trials to create and use synthetic data with ease and without restrictions, thereby accelerating the development and approval of new drugs and medical devices.
For any PHUSE members seeking further information, please visit the NIHPO website here: https://podr.phuse.global/auth/login?redirect=%2F