Something Different is Happening Here

Where Big Data meets
Big Medicine

The healthcare
system is
inefficient, complicated,
and costly.

The healthcare system does not support the needs for orphan diseases. The visionary Dr. Inderpal Randhawa sees the needs of patients throughout his years of practice, and has established the B.A.R.I.C. Data Loop.

a revolutionary approach

The B.A.R.I.C. Data Loop was established to collect, analyze, and streamline patient data, to identify treatment outcomes through remission, to offer customized therapeutic treatment to patients, and continuously monitor and improve.
The biobank is an Institutional Review Board approved, federally regulated repository of human blood samples and data localized to disease states over a duration of time. The biobank allows for a comprehensive network of clinical, demographic, genetic, organ specific data, and more to analyze in various applied mathematical models to determine associations for disease interventions.
Mixed model analytics and other forms of advanced biostatistical analysis applied to trillions of data points build the core foundation of disease understanding. Studying trillions of data points in disease association allows for subgroup analysis based on the isolation of multiple variables.
Basic, translational and clinical research is applied to the analytics model allowing for unique and advanced understanding of disease processes and response to therapies. When built upon analytics and virtual biodata, the need to spend years of time building physical models is eliminated. Focused research using analytics modeling produces efficient and effective research outcomes which create informatics standards for disease analysis.
Informatics is the science of data development and storage. Research conducted in the B.A.R.I.C Data Loop builds algorithms and data processes for disease treatment. These processes require data storage in the form of informatics.
Clinical remission
The final step of the B.A.R.I.C Data Loop is clinic treatment of patients. Each patient's data is their own control. Their treatment is designed based upon data models and data monitoring. The result is a patient-specific, highly successful form of therapy.

the baric data loop

the core of tpirc

This proprietary process provides principles for developing treatments for orphan diseases by mitigating risks and control the outcomes with big data.

a radical solution

With the “Big Data Meets Big Medicine” approach, TPIRC will end fear and restore hope to the group of patients who suffer from orphan diseases.