R01HL166759
Project Grant
Overview
Grant Description
ARTIFICIAL INTELLIGENCE ANALYSIS OF ATRIAL REMODELING EVOLUTION IN PATIENTS WITH ATRIAL FIBRILLATION: TOWARDS OPTIMAL ABLATION STRATEGIES - PROJECT SUMMARY
ATRIAL FIBRILLATION (AF) IS THE MOST PREVALENT SUSTAINED CARDIAC ARRHYTHMIA, LEADING TO MORBIDITY AND MORTALITY IN 1-2% OF THE POPULATION AND CONTRIBUTING SIGNIFICANTLY TO GLOBAL HEALTH CARE COSTS.
FOR PATIENTS IN WHOM AF CANNOT BE TREATED BY DRUGS, THE RECOMMENDED THERAPY IS CATHETER-BASED ABLATION TO ISOLATE ARRHYTHMIA TRIGGERS AND ELIMINATE THE SUBSTRATE FOR ARRHYTHMIA PERPETUATION.
THE SUCCESS RATE OF CATHETER ABLATION IN RHYTHM CONTROLLED AF PATIENTS IS 50-75%, AND IS WORSE IN PATIENTS WITH PERSISTENT AF.
THE MECHANISMS BY WHICH BASELINE AND POST-ABLATION ATRIAL REMODELING, INCLUDING ATRIAL DISTENSION, FUNCTIONAL IMPAIRMENT, AND FIBROSIS, CONTRIBUTE TO AF RECURRENCE FOLLOWING CATHETER ABLATION, ARE NOT WELL UNDERSTOOD AND THE UNDERLYING FACTORS HAVE NOT BEEN CHARACTERIZED.
UNDERSTANDING ATRIAL REMODELING IN DRUG-REFRACTORY AF PATIENTS AND DISCOVERING NEW PERSONALIZED STRATEGIES FOR SUCCESSFUL AF ABLATION AND PREVENTION OF AF RECURRENCE IS A QUEST OF PARAMOUNT CLINICAL SIGNIFICANCE.
THERE IS AN URGENT NEED TO DEVELOP NEW APPROACHES TO ABLATION THAT ACCOUNT MECHANISTICALLY FOR THE REMODELING OF THE ATRIAL SUBSTRATE POST-PROCEDURE, AND THEREBY IMPROVE THE EFFICACY OF THE THERAPY AND ELIMINATE REPEAT PROCEDURES.
THE OVERALL OBJECTIVE OF THIS APPLICATION IS TO USE A NOVEL COMBINATION OF IMAGING, ARTIFICIAL INTELLIGENCE (AI), ELECTROANATOMICAL MAPPING, AND MECHANISTIC COMPUTATIONAL MODELING TO UNDERSTAND THE CAUSES FOR AF RECURRENCE IN DRUG-REFRACTORY AF PATIENTS AND TO DEVELOP A NEW PARADIGM FOR PERSONALIZED ABLATION THAT ELIMINATES REPEAT PROCEDURES.
LEVERAGING OUR ADVANCEMENTS IN THE ACQUISITION OF HIGH-QUALITY ATRIAL IMAGES, OUR EXPERTISE IN AI AND PARTICULARLY DEEP LEARNING, AND OUR ABILITY TO EFFICIENTLY GENERATE PERSONALIZED COMPUTATIONAL ATRIAL MODELS, WE PROPOSE TO CHARACTERIZE BASELINE ATRIAL REMODELING IN SHAPE, STRUCTURE, AND FUNCTION AS WELL AS ITS PROGRESSION POST-PROCEDURE.
USING THE OBTAINED INSIGHTS, WE WILL DEVELOP A COMPREHENSIVE ABLATION STRATEGY WHERE AF ABLATION TARGETS WILL BE DETERMINED BY REINFORCEMENT LEARNING BASED ON THE MECHANISTIC KNOWLEDGE ACQUIRED IN THE PROPOSED STUDIES.
THE PROJECT WILL CULMINATE IN A PILOT PROSPECTIVE PATIENT STUDY THAT WILL TEST THE NEW ABLATION STRATEGY.
SUCCESSFUL EXECUTION OF THE PROJECT WILL PAVE THE WAY FOR A PARADIGM SHIFT IN THE CLINICAL PROCEDURE OF AF ABLATION AND IN THE QUEST TO ELIMINATE REPEAT PROCEDURES IN DRUG-REFRACTORY AF PATIENTS, RESULTING IN A DRAMATIC IMPROVEMENT IN THE EFFICACY OF THE THERAPY.
IMPORTANTLY, COMPLETION OF THIS PROJECT WILL BE A MAJOR LEAP FORWARD IN THE INTEGRATION OF IMAGING, AI, AND COMPUTATIONAL MODELING IN THE DIAGNOSIS AND TREATMENT OF HEART RHYTHM DISORDERS.
ATRIAL FIBRILLATION (AF) IS THE MOST PREVALENT SUSTAINED CARDIAC ARRHYTHMIA, LEADING TO MORBIDITY AND MORTALITY IN 1-2% OF THE POPULATION AND CONTRIBUTING SIGNIFICANTLY TO GLOBAL HEALTH CARE COSTS.
FOR PATIENTS IN WHOM AF CANNOT BE TREATED BY DRUGS, THE RECOMMENDED THERAPY IS CATHETER-BASED ABLATION TO ISOLATE ARRHYTHMIA TRIGGERS AND ELIMINATE THE SUBSTRATE FOR ARRHYTHMIA PERPETUATION.
THE SUCCESS RATE OF CATHETER ABLATION IN RHYTHM CONTROLLED AF PATIENTS IS 50-75%, AND IS WORSE IN PATIENTS WITH PERSISTENT AF.
THE MECHANISMS BY WHICH BASELINE AND POST-ABLATION ATRIAL REMODELING, INCLUDING ATRIAL DISTENSION, FUNCTIONAL IMPAIRMENT, AND FIBROSIS, CONTRIBUTE TO AF RECURRENCE FOLLOWING CATHETER ABLATION, ARE NOT WELL UNDERSTOOD AND THE UNDERLYING FACTORS HAVE NOT BEEN CHARACTERIZED.
UNDERSTANDING ATRIAL REMODELING IN DRUG-REFRACTORY AF PATIENTS AND DISCOVERING NEW PERSONALIZED STRATEGIES FOR SUCCESSFUL AF ABLATION AND PREVENTION OF AF RECURRENCE IS A QUEST OF PARAMOUNT CLINICAL SIGNIFICANCE.
THERE IS AN URGENT NEED TO DEVELOP NEW APPROACHES TO ABLATION THAT ACCOUNT MECHANISTICALLY FOR THE REMODELING OF THE ATRIAL SUBSTRATE POST-PROCEDURE, AND THEREBY IMPROVE THE EFFICACY OF THE THERAPY AND ELIMINATE REPEAT PROCEDURES.
THE OVERALL OBJECTIVE OF THIS APPLICATION IS TO USE A NOVEL COMBINATION OF IMAGING, ARTIFICIAL INTELLIGENCE (AI), ELECTROANATOMICAL MAPPING, AND MECHANISTIC COMPUTATIONAL MODELING TO UNDERSTAND THE CAUSES FOR AF RECURRENCE IN DRUG-REFRACTORY AF PATIENTS AND TO DEVELOP A NEW PARADIGM FOR PERSONALIZED ABLATION THAT ELIMINATES REPEAT PROCEDURES.
LEVERAGING OUR ADVANCEMENTS IN THE ACQUISITION OF HIGH-QUALITY ATRIAL IMAGES, OUR EXPERTISE IN AI AND PARTICULARLY DEEP LEARNING, AND OUR ABILITY TO EFFICIENTLY GENERATE PERSONALIZED COMPUTATIONAL ATRIAL MODELS, WE PROPOSE TO CHARACTERIZE BASELINE ATRIAL REMODELING IN SHAPE, STRUCTURE, AND FUNCTION AS WELL AS ITS PROGRESSION POST-PROCEDURE.
USING THE OBTAINED INSIGHTS, WE WILL DEVELOP A COMPREHENSIVE ABLATION STRATEGY WHERE AF ABLATION TARGETS WILL BE DETERMINED BY REINFORCEMENT LEARNING BASED ON THE MECHANISTIC KNOWLEDGE ACQUIRED IN THE PROPOSED STUDIES.
THE PROJECT WILL CULMINATE IN A PILOT PROSPECTIVE PATIENT STUDY THAT WILL TEST THE NEW ABLATION STRATEGY.
SUCCESSFUL EXECUTION OF THE PROJECT WILL PAVE THE WAY FOR A PARADIGM SHIFT IN THE CLINICAL PROCEDURE OF AF ABLATION AND IN THE QUEST TO ELIMINATE REPEAT PROCEDURES IN DRUG-REFRACTORY AF PATIENTS, RESULTING IN A DRAMATIC IMPROVEMENT IN THE EFFICACY OF THE THERAPY.
IMPORTANTLY, COMPLETION OF THIS PROJECT WILL BE A MAJOR LEAP FORWARD IN THE INTEGRATION OF IMAGING, AI, AND COMPUTATIONAL MODELING IN THE DIAGNOSIS AND TREATMENT OF HEART RHYTHM DISORDERS.
Awardee
Funding Goals
THE NATIONAL HEART, LUNG, AND BLOOD INSTITUTE (NHLBI) PROVIDES GLOBAL LEADERSHIP FOR A RESEARCH, TRAINING, AND EDUCATION PROGRAM TO PROMOTE THE PREVENTION AND TREATMENT OF HEART, LUNG, AND BLOOD DISEASES AND ENHANCE THE HEALTH OF ALL INDIVIDUALS SO THAT THEY CAN LIVE LONGER AND MORE FULFILLING LIVES. TO FOSTER HEART AND VASCULAR RESEARCH IN THE BASIC, TRANSLATIONAL, CLINICAL AND POPULATION SCIENCES, AND TO FOSTER TRAINING TO BUILD TALENTED YOUNG INVESTIGATORS IN THESE AREAS, FUNDED THROUGH COMPETITIVE RESEARCH TRAINING GRANTS. SMALL BUSINESS INNOVATION RESEARCH (SBIR) PROGRAM: TO STIMULATE TECHNOLOGICAL INNOVATION; USE SMALL BUSINESS TO MEET FEDERAL RESEARCH AND DEVELOPMENT NEEDS; FOSTER AND ENCOURAGE PARTICIPATION IN INNOVATION AND ENTREPRENEURSHIP BY SOCIALLY AND ECONOMICALLY DISADVANTAGED PERSONS; AND INCREASE PRIVATE-SECTOR COMMERCIALIZATION OF INNOVATIONS DERIVED FROM FEDERAL RESEARCH AND DEVELOPMENT FUNDING. SMALL BUSINESS TECHNOLOGY TRANSFER (STTR) PROGRAM: TO STIMULATE TECHNOLOGICAL INNOVATION; FOSTER TECHNOLOGY TRANSFER THROUGH COOPERATIVE R&D BETWEEN SMALL BUSINESSES AND RESEARCH INSTITUTIONS, AND INCREASE PRIVATE SECTOR COMMERCIALIZATION OF INNOVATIONS DERIVED FROM FEDERAL R&D.
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
Baltimore,
Maryland
212182608
United States
Geographic Scope
Single Zip Code
Related Opportunity
Analysis Notes
Amendment Since initial award the total obligations have increased 303% from $798,602 to $3,217,325.
The Johns Hopkins University was awarded
AI Analysis for Optimal Ablation Strategies in Atrial Fibrillation
Project Grant R01HL166759
worth $3,217,325
from National Heart Lung and Blood Institute in January 2023 with work to be completed primarily in Baltimore Maryland United States.
The grant
has a duration of 5 years and
was awarded through assistance program 93.837 Cardiovascular Diseases Research.
The Project Grant was awarded through grant opportunity NIH Research Project Grant (Parent R01 Clinical Trial Not Allowed).
Status
(Ongoing)
Last Modified 4/22/26
Period of Performance
1/20/23
Start Date
12/31/27
End Date
Funding Split
$3.2M
Federal Obligation
$0.0
Non-Federal Obligation
$3.2M
Total Obligated
Activity Timeline
Transaction History
Modifications to R01HL166759
Additional Detail
Award ID FAIN
R01HL166759
SAI Number
R01HL166759-3423224976
Award ID URI
SAI UNAVAILABLE
Awardee Classifications
Private Institution Of Higher Education
Awarding Office
75NH00 NIH National Heart, Lung, and Blood Institute
Funding Office
75NH00 NIH National Heart, Lung, and Blood Institute
Awardee UEI
FTMTDMBR29C7
Awardee CAGE
5L406
Performance District
MD-07
Senators
Benjamin Cardin
Chris Van Hollen
Chris Van Hollen
Budget Funding
| Federal Account | Budget Subfunction | Object Class | Total | Percentage |
|---|---|---|---|---|
| National Heart, Lung, and Blood Institute, National Institutes of Health, Health and Human Services (075-0872) | Health research and training | Grants, subsidies, and contributions (41.0) | $798,602 | 100% |
Modified: 4/22/26