Research funder · United States
Melanoma Research Alliance
Nonprofit organization in Washington D.C., United States
- Grants since 2016
- 400
- Awarded, last 5 years (where amounts are published)
- 72.1M
- Funded works, last 5 years
- 1 190
- Funded works, all time
- 2 826
Grants
2019–2022 · award
Applying AI to Assess Histologic Features to Improve Melanoma Diagnosis
Joann G. Elmore
2019–2020 · award
Metastatic origin and adjuvant therapeutic efficacy of stage III melanoma
Sixue Liu
2019–2022 · award
Metabolic Control of T cell Senescence for Melanoma Immunotherrapy
Guangyong Peng
2019–2022 · award
The multifaceted Ambra1-based signalling in melanoma response to therapy
Daniela De Zio
2019–2022 · award
Targeting copy number alterations to overcome immune evasion in melanoma
Teresa Davoli
2019–2020 · award
Melanoma Staging by Artificial Intelligence
Enrica Quattrocchi
2019–2020 · award
Rac1-Interacting Proteins as Diagnostic Biomarkers for Melanoma
Carolyn Lee
2019–2021 · award
Blood vessel co-option by brain tropic melanoma cells
Andrew Dudley
2019–2021 · award
Spliced immune receptors for immune regulation and melanoma immunotherapy
Michal Lotem
2019–2022 · award
Epigenetic Regulation of Resistance to Targeted Therapies in Melanoma
Rhoda Alani
2019–2022 · award
Targeting CD39 in melanoma
Mark Smyth
2019–2022 · award
Factors that Influence Artificial Intelligence-based Melanoma Diagnosis
Veronica Rotemberg
2019–2022 · award
Mechanism of EBF3 Tumor Suppression in Melanoma
Hensin Tsao
2019–2021 · award
Mitochondrial Control of Melanoma Initiation
Jerry Chipuk
2019–2022 · award
Optimization of GITR antibodies for melanoma immunotherapy
Rony Dahan
2019–2022 · award
Discovering unconventional CD8+ T-cell epitopes in metastatic cutaneous melanoma
Yiwen Chen
2019–2022 · award
Developing a predictive tool using machine learning algorithm in melanoma
Iman Osman
2019–2022 · award
Elucidating cross-presentation of melanoma-derived antigens
Stefani Spranger
2019–2022 · award
Transcriptional and Epigenetic Regulators of Melanoma Initiation
Charles Kaufman
2019–2022 · award
Identification of metabolic liabilities of melanoma cells
Kivanc Birsoy
2019–2021 · award
DGAT1 is a novel melanoma oncogene
Adam Hurlstone
2019–2022 · award
Nanomedicine targeting melanoma-astrocytes interplay in 3D brain metastases
Ronit Satchi-Fainaro
2019–2022 · award
Proof of practice: melanoma screening using computer vision
Maria Wei
2019–2022 · award
TANK-Binding Kinase 1 (TBK1) As A Novel Cancer Immunotherapy Target
Russell Jenkins
2019–2020 · award
Dependence of metastasizing melanoma cells on different NAD kinase isoforms
Maria Graciela Cascio
2019–2022 · award
Preclinical development of a disrupter of BRAF-containing dimers
Neal Rosen
2019–2022 · award
Understanding and targeting metabolic heterogeneity in melanoma
Bin Zheng
2019–2021 · award
Development of an enhanced telemedicine-based melanoma diagnostic platform
Shirin Bajaj
2019–2022 · award
Enhanced-OCT for discriminating nevi from melanomas
Kamran Avanaki
2018–2021 · award
Primary Anogenital Melanoma: Comprehensive molecular and immune analysis
Priyadharsini Nagarajan
2018–2020 · award
Development of OncoLink: A Web-Based irAE Monitoring Platform
Betina Yanez
2018–2021 · award
Developing advanced non-invasive histology techniques
Jesse Wilson
2018–2021 · award
Targeting PSGL-1 inhibitory pathways to promote anti-tumor T cell immunity
Roberto Tinoco
2018–2021 · award
Building a Predictive Framework for Vaccine Design Against Melanoma
Nicolas Chevrier
2018–2021 · award
Targeting BAP1-dependent alterations in metastatic uveal melanoma
Andrew Aplin
2018–2021 · award
Pilot study of intervention to reduce sunburns in melanoma survivors
Rachel Vogel
2018–2021 · award
Diet, Mental Health, and the Microbiome in Response to Immunotherapy
Lorenzo Cohen
2018–2021 · award
PROGNOSTIC AND FUNCTIONAL ROLES OF ALTERED CIRCULAR RNAS IN MELANOMA
Eva Hernando
2018–2021 · award
DAMPening Immunotherapy Adverse Events in Melanoma
Pan Zheng
2018–2021 · award
Targeting the JNK-ITCH signaling pathway in melanoma
Lixin Wan