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About Complement-ARIE

The Complement Animal Research In Experimentation (Complement-ARIE) Program is funded by the United States National Institutes of Health (NIH) Common Fund and aims to accelerate the development, standardization, validation, and use of new, human-based models – such as organ-on-a-chip systems, tiny lab-grown tissues called organoids, and in silico models – for the study of disease or the testing of new drugs. These new models, know as New Approach Methodologies (NAMs), more accurately model human biology than conventional animal models while also reducing the need for animal testing in research.

The Complement-ARIE program relies on a broad group of contributing teams, as summarized below. Full details about all the contributors can be found here.

  • NYU-Sage NAM Data Hub and Coordinating Center (NDHCC) (RFA-RM-24-013): The NDHCC is the central coordinating center for the overall Complement-ARIE program. As part of this, the NDHCC team is responsible for the NAMHub, the central repository to collect, organize, and share data and tools associated with these new methods within the Complement-ARIE consortium and with the scientific community. In addition, the NDHCC is responsible for defining standards for data reporting and model credibility; for ensuring interoperability, sustainability, and data reuse; and for developing tools to enable advanced data analytics and data sharing. The principal investigators (PIs) of the NDHCC are Gustavo Stolovitsy (Lead PI), David Fenyo, Stuart Katz, and Chang Yu of New York University School of Medicine and Jineta Banerjee of Sage Bionetworks.

  • Validation and Qualification Network (VQN) (OTA-25-003): The VQN is tasked with working with regulatory authorities to accelerate the research and regulatory use of NAMs by developing standards and procedures for validating and qualifying NAMs. The VQN is led by PI Stacey Adam of the Foundation for the NIH.

  • Comprehensive NAMs Technology Development Centers (TDCs) (RFA-RM-24-010): NIH selected the seven TDCs listed below to develop combinatorial NAMs across several areas of scientific need.

TDC Name

Full Project Title

Lead PI

Institution

3D-MOFIB

An Integrated Multiorgan Platform of 3D Microtissues to Model and Understand Interindividual Drug Susceptibility in Fibrotic Pathologies

Marc Ferrer

National Center for Advancing Translational Sciences (NCATS), NIH

NAMs for Gynecology

NAMs for Clinical Translation of Therapeutics for Systemic Gynecology Diseases

Linda G. Griffith

Massachusetts Institute of Technology (MIT)

NAMs-Decisions Center

NAMs-Decisions Center: New Approach Methods for Decisions on Industrial and Consumer-Use Chemicals

Ivan Rusyn

Texas A&M AgriLife Research / Texas A&M VMBS

DROIDp

DROIDp – Drug Research Organoid Intelligence (OI) Development Platform: a Combinatorial NAM for Assessment of Cognitive Functions in Drug and Chemical Testing

Lena Smirnova

Johns Hopkins University (Bloomberg School of Public Health)

GI NAMs / CuSTOM

Patient-specific, combinatorial NAMs for gastrointestinal diseases and drug response prediction

James M. Wells

Cincinnati Children's Hospital Medical Center

Cardiac NAMs / CTiD

Advancing Personalized Cardiac Organoids – Converging In Vitro, In Chemico, and In Silico Models

Joseph C. Wu

Stanford University (Stanford Cardiovascular Institute)

Musculoskeletal NAMs

Technology development center for integrative physiologic models of the human musculoskeletal system

Shrike (Yu Shrike) Zhang

Brigham and Women's Hospital (Harvard Medical School affiliate)

Today’s Complement-ARIE program builds on the 2023-2024 Complement-ARIE Challenge, which aimed to catalyze innovation in human-based research solutions. Below are the winners of that Challenge.

Team Captain

Project Title

Zev Gartner, University of California, San Francisco

4D Tissue Fabrication of Human Tissue Models

Riccardo Barrile, University of Cincinnati

A Sensor-Enhanced Isogenic Model of Alzheimer's

Ken Chen, University of Texas MD Anderson Cancer Center

Agent-Based Models for Adoptive Cell Therapy

Weiqiang Chen, New York University

Cancer Immunotherapy Clinical Trials on a Chip

X. Lucas Lu, University of Delaware

Click Chemistry Magic for Drug Screening

Alexander Tropsha, Predictive, LLC.

DevTox - Developmental Toxicity Predictor

Thomas Hartung, Johns Hopkins University Center for Alternatives to Animal Testing (CAAT)

E-validation – Unleashing AI for Validation

Shantanu Singh, Broad Institute of MIT and Harvard

Exploring Omics for Liver Toxicity Assessment

Brian Johnson, Michigan State University

Facing the Future of Microphysiological Modeling

Lei Yin, Reprotox Biotech LLC

Future Fertility: AI-driven Human Mini-Testis Model

Carlos Ramon Ponce, Harvard Medical School

Interpreting Brains and Artificial Networks

Wei Tan, University of Colorado at Boulder

Machine Learning Assisted HTP Tissue Array

Thomas Luechtefeld, Insilica, LLC

NAMKG: LLM Powered Registry To Foster NAM Adoption

David Kaplan, Tufts University

Neuro-Immuno-Cutaneous Human Skin Equivalent

Hang Lin, University of Pittsburgh

Organ-on-a-Chip for Studying Osteoarthritis Pain

Lena Smirnova, Johns Hopkins University

Organoid Intelligence (OI) - Learning in a Dish

Deepak Rao, Brigham and Women’s Hospital

Organoid Modeling of Rheumatoid Arthritis Joints

Rebecca Pompano, The Rector and Visitors of the University of Virginia

Population Diversity in Responses to Vaccination

Ramkumar Menon, University of Texas Medical Branch

Pregnancy on Chip to Improve Reproductive Health

Huaxiao ‘Adam’ Yang, University of North Texas

Pulse of the Future: AI-human MEHC