Panda-MSD: predictive analytics via networked distributed algorithms for multi-system diseases

Active Cooperative Agreement Awarded Last action

Award ID
U01TR003709
Recipient
Awarding agency
Obligated
$9,393,033

Award facts

Completion date 88% complete
Originally
Place of performance
Philadelphia, PA 19104, USA

Award details come from USAspending.gov.

Description

As the agency reported it.

Abstract
This proposal seeks support to develop novel data integration methods using electronic health records (EHR) from multiple ctsa hubs to create predictive models of multi-system diseases. The proposed project directly addresses the areas of emphasis in PAR-19-099 to "engage new collaborators in pre-existing collaborations to solve a translational science problem no one hub can solve alone". Research GAP: the overarching goal of this proposal is to develop the predictive analytics via networked distributed algorithms (panda) framework, which will enable accurate risk prediction to help healthcare providers reach accurate diagnoses earlier. Our proposed methods directly address two major barriers: 1) lack of predictive models for multi-system conditions; 2) lack of algorithms that effectively combine data from multiple sites in a privacy-preserving and communication-efficient fashion. In this proposal, we will develop and evaluate the panda framework using two prototypic multi-system conditions, with different levels of prevalence: granulomatosis with polyangiitis (GPA, a type of vasculitis, prevalence of 74 per million) and psoriatic arthritis (PSA) (1500 per million), with the expectation that the approach will be readily applicable to other diseases. These two conditions are particularly well-suited to the development of our predictive methods given the commonly encountered delays in diagnosis that can range from months to years. These delays may be associated with high morbidity and early mortality. We have three specific aims: aim 1. Develop predictive models for granulomatosis with polyangiitis and psoriatic arthritis, and data integration algorithms to enable secure and efficient data sharing among multiple institutions. Aim 2. Test the predictive models from aim 1 using aggregated data (not IPD) from a separate set of ctsa sites to validate the data integration methodology. Aim 3. Develop a "toolbox" of resources through which the panda processes of algorithm generation and data aggregation can be easily shared with and adopted for use by all ctsas and others. The success of this project will lead to novel analytic tools for facilitating efficient and privacy-preserving data sharing and collaborative risk predictions across ctsa sites. The panda process of novel analytic tools to assist clinical diagnoses and interventions should then be studied through pragmatic trials to evaluate its potential to decrease diagnostic delays and alter patients' health trajectories. This project is highly feasible and is potentially transformative for both data science and clinical medicine.

Transactions

Action Obligated Date
Amendment $0
Amendment $1,102,033
Amendment $1,102,033
Amendment $1,160,870
Amendment $1,195,699
Amendment $1,195,699
Amendment $0
Amendment $0
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Amendment $0
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Amendment $1,212,233
Amendment $1,212,233
Original award $1,212,233
Show all 15

Subawards

Subrecipient Amount Awarded
University Of Alabama At Birmingham Dr. Curtis will assist with data analyses and selection of accurate predictive models, and he will be a member of the Steering Committee. $33,081
University Of Florida Dr. Bian as one of the MPIs will lead the project at the University of Florida (UF) and OneFlorida site. In particular, collaborating with the lead… $73,241
Regenstrief Institute Inc. "Regenstrief Institute, Inc. is an internationally recognized informatics and healthcare research organization. It is a dynamic, people-centered research… $37,916
Trustees Of Indiana University Dr. Bian as one of the MPIs will lead the project at the Indiana University (IU) and Regenstrief Institute (RI) sites. In particular, collaborating with the… $41,342
University Of Alabama At Birmingham Dr. Curtis will assist with data analyses and selection of accurate predictive models, and he will be a member of the Steering Committee. $13,972
Global Healthy Living Foundation Inc. Dr. Venkatachalam will lead the project at the Global Healthy Living Foundation. In particular, collaborating with the lead investigators (Drs. Merkel and Chen)… $1,882
University Of Florida Dr. Bian as one of the MPIs will lead the project at the University of Florida (UF) and OneFlorida site. In particular, collaborating with the lead… $152,500
University Of Alabama At Birmingham Dr. Curtis will assist with data analyses and selection of accurate predictive models, and he will be a member of the Steering Committee. $18,453
University Of Missouri System SCOPE OF WORK The following scope describes the work that will be completed. This project aims to reduce dangerous and costly delays in diagnosis of diseases,… $25,425
University Of Florida Dr. Bian as one of the MPIs will lead the project at the University of Florida (UF) and OneFlorida site. In particular, collaborating with the lead… $266,875

Quick answers

Who received award U01TR003709?

U01TR003709 was awarded to The Trustees Of The University Of Pennsylvania by National Center for Advancing Translational Sciences (National Institutes of Health) on August 5, 2022.

How much is award U01TR003709 worth?

$9,393,033 has been obligated on U01TR003709.

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