The Fund for Innovation in Cancer Informatics

  • Home
  • Grants
    • Overview
    • Deadlines
    • How to Apply
    • Eligibility
    • Grant FAQ
    • Grant Award List
    • Work-To-Date
    • Reporting Guidelines
    • Clinical Impact
    • Application Reviewers
    • Advisors and Review Committee
  • Grant Recipients
    • View All
    • Latest
    • Major Grants
    • Discovery Grants
    • High Impact Collaborative Grants
    • 2025
    • 2024
    • 2023
    • 2022
    • 2021
    • 2020
    • 2019
    • 2018
    • 2017
  • FAQ
  • Events
  • Contact Us
The Fund for Innovation in Cancer Informatics
  • Home
  • Grants
    • Overview
    • Deadlines
    • How to Apply
    • Eligibility
    • Grant FAQ
    • Grant Award List
    • Work-To-Date
    • Reporting Guidelines
    • Clinical Impact
    • Application Reviewers
    • Advisors and Review Committee
  • Grant Recipients
    • View All
    • Latest
    • Major Grants
    • Discovery Grants
    • High Impact Collaborative Grants
    • 2025
    • 2024
    • 2023
    • 2022
    • 2021
    • 2020
    • 2019
    • 2018
    • 2017
  • FAQ
  • Events
  • Contact Us

  • Baylor College of Medicine

    Major Grant Award Recipient
    Spring 2025
    Drs. Zobeck and Coarfa
    An Integrated Clinical and Genomic Informatics Platform to Predict Cardiotoxicity from Pediatric Cancer Treatment

  • Beth Israel Deaconess Medical Center, Harvard Medical School

    Discovery Grant Award Recipient
    Fall 2023
    Drs. Appelbaum and Curry
    Development of a Clinical Implementation Framework for LIRIC (Liver Cancer Risk Computation) Methods

  • Dana-Farber Cancer Institute

    Major Grant Award Recipient
    Fall 2017
    Drs. Beroukhim and Shapira
    Integrated Genomic Analyses to Detect Oncogenic Rearrangements

  • Dana-Farber Cancer Institute

    Major Grant Award Recipient
    Fall 2017
    Drs. Hassett and Cerami
    MatchMiner: Accelerating Enrollment of Patients to Precision Cancer Medicine Clinical Trials

  • Dana-Farber Cancer Institute

    Major Grant Award Recipient
    Spring 2018
    Drs. Elmarakeby and Van Allen
    Deep Learning Models to Accelerate Translational Cancer Genomics

  • Dana-Farber Cancer Institute

    Discovery Grant Award Recipient
    Fall 2019
    Drs. Singer and Daud
    Designing T Cell Liquide Biopsies From Single-Cell Resolution Data

  • Dana-Farber Cancer Institute

    Major Grant Award Recipient
    Fall 2020
    Drs. Beroukhim & Dalin
    Expanded Structural Variant Signatures and Their Role in Predicting Chemotherapy Sensitivity.

  • Dana-Farber Cancer Institute

    Major Grant Award Recipient
    Fall 2022
    Drs. Enzinger and Hassett
    Optimizing Cancer Pain Management Through an EHR Integrated Mobile Health Tool

  • Dana-Farber Cancer Institute

    Major Grant Award Recipient
    Spring 2023
    Drs. Baca and Van Allen
    Maximizing the Robustness of Fragmentomics-based Cancer Biomarkers

  • Dana-Farber Cancer Institute

    Discovery Grant Award Recipient
    Fall 2024
    Drs. Hoverstadt and Griffin
    Rapid Epigenomic Classification of Acute Leukemia using Deep Learning and Nanopore Sequencing.

  • Dana-Farber Cancer Institute

    Major Grant Award Recipient
    Fall 2024
    Drs. Wright, Lindvall, and Manz
    Improving patient-centered inpatient clinical decision-making by applying large language models to identify and summarize serious illness conversation documentation in real-time for patients with cancer being admitted to the hospital.

  • Dana-Farber Cancer Institute and University of Texas MD Anderson Cancer Center

    Discovery Grant Award Recipient
    Fall 2017
    Drs. Carrot-Zhang and Le
    Novel Analytical Models Relating Genetic Ancestry to Cancer Risk in Large Panel Sequencing Datasets

  • Emory School of Medicine

    Major Grant Award Recipient
    Spring 2024
    Drs. Ardeshir-Larijani and Khorrami
    Novel Radiogenomic Biomarkers to Predict Response to Immunotherapy in a Non-Small Cell Lung Cancer.

  • Emory University

    Discovery Grant Award Recipient
    Fall 2025
    Drs. Bozkurt and Parikh
    Enhancing Clinical Trial Design Through Automated Eligibility Criteria Mapping to Real-World Data (ECLIPSE)

  • Fred Hutchinson Cancer Research Center, University of Washington

    Major Grant Award Recipient
    Fall 2018
    Drs. Pritchard and Ha
    Accelerating the Development and Validation of Liquid Biopsy Assays for Cancer

  • Fred Hutchinson Cancer Research Center, University of Washington

    Discovery Grant Award Recipient
    Spring 2021
    Drs. Wu and Gauthier
    High Dimensional Interference for Biomarker Identification: An Application to CAR-T Cell Immunotherapy

  • GEARBOx: a multisite clinical trial matching tool for children with relapsed or refractory cancer

    High Impact Collaborative Grant Award Recipient
    Spring 2022
    Lead PI: Dr. Samuel Volchenborum
    GEARBOx: a multisite clinical trial matching tool for children with relapsed or refractory cancer

  • Harvard Medical School

    Major Grant Award Recipient
    Fall 2023
    Drs. Glodzik and Park
    Chromoscope: Interactive Visualization for Clinical Interpretation of Whole Cancer Genomes

  • Harvard Medical School

    Major Grant Award Recipient
    Spring 2025
    Drs. Khan and Warner
    Multi-Risk Cancer Prediction Using Deep Sequential Modeling of Large-Scale Longitudinal EHRs

  • Harvard T.H. Chan School of Public Health

    ICI Grant Recipient
    Spring 2025
    Drs. Song and Rosenthal
    Deep Learning of the Electronic Health Record, Imaging and Genetic Data for Risk Protection of Post Colonoscopy Colorectal Cancer

  • Harvard T.H. Chan School of Public Health and Boston University

    Major Grant Award Recipient
    Fall 2025
    Drs. Dickerman and Fillmore
    Developing a Generalizable Causal AI Framework for Precision Sequencing of Cancer Therapies: A Use Case in Advanced Prostate Cancer

  • Harvard, T.H. Chan, School of Public Health

    Discovery Grant Award Recipient
    Spring 2024
    Dr. Mingyang Song
    Developing a deep learning model in the electronic health record database to predict colorectal cancer risk after colonoscopy screening

  • Hugo W. Moser Research Institute at Kennedy Krieger

    Discovery Grant Award Recipient
    Fall 2017
    Drs. Bressler and Laterra
    Elucidate the Mechanism Underlying Resistance in Gliomas to Conventional Therapy

  • Icahn School of Medicine at Mount Sinai

    Discovery Grant Award Recipient
    Spring 2017
    Drs. Parekh and Dudley
    A Network-Based Precision Medicine Platform for Personalized Treatment of Multiple Myeloma.

  • Johns Hopkins University

    ICI Grant Recipient
    Spring 2025
    Drs. Chatterjee and Visvanathan
    Development of a Universal Breast Cancer Risk Prediction Tool for the Diverse US Population Using Data from 2.4 million Women Across 29 Cohorts

  • Johns Hopkins, Sidney Kimmel Comprehensive Cancer Center and Memorial Sloan Kettering Cancer Center

    Major Grant Award Recipient
    Fall 2020
    Drs. Leslie & Toska
    Discovery and Validation of Splicing and Gene Expression Programs in Cancer

  • Memorial Sloan Kettering Cancer Center

    Major Grant Award Recipient
    Spring 2017
    Drs. Schultz and Gao
    Genome Nexus: A Web Resource for the Comprehensive Annotation of Cancer Variants

  • Memorial Sloan Kettering Cancer Center

    Major Grant Award Recipient
    Fall 2017
    Drs. Sanchez-Vega and Ganesh
    Identifying the Genomic Basis of Organ-Specific Metastasis

  • Memorial Sloan Kettering Cancer Center

    Major Grant Award Recipient
    Spring 2018
    Drs. Vasan and Reznik
    Discovery and Validation of Tandem Mutations Driving Cancer

  • Memorial Sloan Kettering Cancer Center

    Major Grant Award Recipient
    Fall 2019
    Drs. Gao, Berger, and Solit
    SIGNAL: A Population-Scale Resource of Germline Variants and Accompanying Somatic Alterations in Cancer

  • Memorial Sloan Kettering Cancer Center

    Major Grant Award Recipient
    Spring 2020
    Drs. Hakimi & Reznik
    Multimodal Metabolic Analysis of Tumors and Therapeutic Responses

  • Memorial Sloan Kettering Cancer Center

    Major Grant Award Recipient
    Spring 2022
    Dr. Debyani Chakravarty and Ino de Bruijn
    REVUE: Repository for Variants with Unexpected Effects

  • Memorial Sloan Kettering Cancer Center

    Major Grant Award Recipient
    Fall 2022
    Drs. Do, Summerville, and Ghaffari
    RROADMAP: Creation of Metastatic Database From Radiology Reports Using Natural Language Processing

  • Memorial Sloan Kettering Cancer Center

    Discovery Grant Award Recipient
    Fall 2023
    Drs. Ghaffari and Swinburne
    RAIAT (Radiology Artificial Intelligence Assistant Tool): Enhancing Radiologic Diagnosis Through Integrated Computer Vision and Large Language Models

  • Memorial Sloan Kettering Cancer Center

    Major Grant Award Recipient
    Spring 2024
    Drs. Sanchez-Vega and Boehm
    Inferring Actionable Biomarkers from Routine Hematoxylin and Eosin-Stained Tissue.

  • Memorial Sloan Kettering Cancer Center

    Major Grant Award Recipient
    Fall 2024
    Drs. Bandlamudi and Schoenfeld
    Zygosity of Mutations in Tumor Suppressor Genes as Biomarker of Response to Therapy

  • Memorial Sloan Kettering Cancer Center

    ICI Grant Recipient
    Spring 2025
    Drs. Shaffer and Kosmidou
    Pan-Can Analysis of Electrocardiogram Waveform Patterns Using Artificial Intelligence

  • NYU Courant Institute of Mathematical Sciences and Stanford University

    Discovery Grant Award Recipient
    Spring 2017
    Drs. Mishra and Ramazzotti
    Bridging Cancer Genomics Data Resources

  • Sloan Kettering Institute for Cancer Research

    Major Grant Award Recipient
    Spring 2025
    Drs. El Bakouny and Tansey
    Population-Scale Discovery of Clinical and Genomic Determinants of Systematic Therapy Adverse Events in Patients with Solid Tumors

  • St. Jude Children’s Research Hospital

    Discovery Grant Award Recipient
    Fall 2019
    Drs. Ma and Klco
    Accelerating the Development and Validation of Liquid Biopsy via Computational Error Suppression

  • Stanford University

    Major Grant Award Recipient
    Spring 2018
    Drs. Zou and Gevaert
    Computational Epigenomics to Study Pancancer Etiology

  • Stanford University School of Medicine

    Major Grant Award Recipient
    Spring 2017
    Drs. Gentles and Diehn
    Identification of Factors Modulating Immune System Response to Tumors

  • Stanford University School of Medicine

    Major Grant Award Recipient
    Fall 2018
    Drs. Ji and Xia
    Identifying Actionable Microbial Biomarkers for Cancer Therapy Using Big Data Approaches

  • The Research Institute of Fox Chase Cancer Center

    Discovery Grant Award Recipient
    Fall 2018
    Drs. Olszanski and Ross
    Evaluating Trial TRIAGE, a Point of Service Software Tool that Streamlines Selection of Patient Appropriate Clinical Trials

  • Toyota Technological Institute at Chicago and The University of Chicago

    Major Grant Award Recipient
    Spring 2017
    Drs. Khan and Savage
    A Computational Platform for Analyzing Cancer Immunologic Data

  • University of California, San Diego

    Major Grant Award Recipient
    Fall 2025
    Drs. Knight and Patel
    Cancer Qiita: An AI-Ready Scalable Cancer Microbiome Database for On-Demand Meta-analysis and Drug Discovery

  • University of Cambridge and Memorial Sloan Kettering Cancer Center

    Discovery Grant Award Recipient
    Spring 2018
    Drs. Zamarin and Miller
    Unraveling the Tumor-Immune Microenvironment by Immunogenomic Analysis

  • University of Massachusetts, Boston

    Discovery Grant Award Recipient
    Spring 2023
    Drs. Del Rivero, Luna, and Babur
    Drug Response Signatures in Rare Adrenocortical Carcinoma & Patient-Patient Similarity Networks

  • University of Michigan Medical School

    Major Grant Award Recipient
    Spring 2020
    Drs. Cieslik & Alva
    Translational Tools and Resources to Advance MHC (HLA) Cancer Genetics

  • University of Michigan Medical School

    Major Grant Award Recipient
    Spring 2022
    Dr. Chad Brenner, Wenjin Gu, and Dr. Ryan Mills
    Improving Bioinformatics Methods for Analysis of Virus-Associated Cancers

  • University of Pittsburgh School of Medicine

    Discovery Grant Award Recipient
    Fall 2023
    Drs. Liu and Ko
    Discovery and Validation of Cancer Therapeutic Targets Through the Single-Cell Long-Read RNA-seq Analysis. 

  • University of Pittsburgh, Hillman Cancer Center

    Major Grant Award Recipient
    Spring 2019
    Drs. Somasundaram and Osmanbeyoglu
    Integrative Computational Framework for Linking Cell Surface Proteins to Downstream Transcriptional Programs in Cells

  • University of Texas Foundation

    ICI Grant Recipient
    Spring 2025
    Drs. Wu and Weaver
    Automated AI Pipeline for Interpretable Longitudinal Mammography Analysis

  • University of Texas Health Science Center at San Antonio

    Major Grant Award Recipient
    Fall 2019
    Drs. Chen and Chiu
    Deep Learning-Based Prognostic Model for Management of Men with Metastatic Castration-Resistant Prostate Cancer

  • University of Texas MD Anderson Cancer Center

    Major Grant Award Recipient
    Spring 2017
    Drs. Korkut and Woodman
    Genomics-Guided Discovery of Effective Combination Therapies in Cancer

  • University of Texas MD Anderson Cancer Center

    Discovery Grant Award Recipient
    Spring 2018
    Drs. Cao and Kopetz
    Application of a Genomic/Transcriptomic Deconvolution Toolbox Addressing Tumor Heterogeneity of Consensus Molecular Subtypes in Metastatic and Primary Colorectal Cancer Samples

  • University of Texas MD Anderson Cancer Center

    Discovery Grant Award Recipient
    Fall 2020
    Drs. Ludmir and Fuller
    PROTECTOR: Project for Reportability of Therapeutic Evaluations and Clinical Trials in Oncologic Research

  • University of Texas, MD Anderson Cancer Center

    Major Grant Award Recipient
    Spring 2022
    Drs Court and Niedzielski
    TOM: Treatment Outcome Monitor - a cloud-based tool designed specifically for clinics with limited resources

©Copyright 2026 The Fund for Innovation in Cancer Informatics. All rights reserved. (06-2024)