Imagenomix Corp, New York

NYU Langone spin-offVol. 1 · 2026

2026

News & Science

The latest from Imagenomix · Partnerships · Publications · Conferences

Featured story

Imagenomix and Proscia digital pathology partnership

January 2025Partnership announcement

Imagenomix integrates with Proscia, one of the largest image management systems in the world

IGX Predict™ integrates directly with the Proscia Concentric digital pathology platform, so laboratories can submit whole-slide images and receive mutation predictions inside the workflow they already use, with no slides to move and no new tools to learn.

Read the full announcement

Latest stories

News, partnerships, and press.

AWS Health Equity Initiative award

June 2024 · Amazon Web Services

Imagenomix selected for the AWS Health Equity Initiative

Imagenomix launch announcement

March 2024 · NYU Langone Health

New startup Imagenomix launches to improve access to cancer testing

Beating tissue failure in oncology

Digital Pathology

2026 · Digital Pathology

Beating tissue failure in oncology: how AI unlocks molecular signals from H&E slides

Faster cancer diagnostics with AI and digital pathology

AI & Diagnostics

2026 · Imagenomix

Faster cancer diagnostics with AI and digital pathology

NBC News: A.I. is making brain cancer diagnosis faster, featuring NYU Langone Health

2023 · NBC News

A.I. is making brain cancer diagnosis faster than before, featuring NYU Langone Health

Peer-reviewed & in preparation

Scientific publications from the Imagenomix research team and co-founding labs

In preparation

Mapping the landscape of breast cancer driver mutations using self-supervised learning on unannotated pathology slides

Imagenomix internal research · Manuscript in preparation, 2026

Katsnelson L, Teverovskiy M, et al.

Breast cancerSelf-supervised learningBLISSWhole-slide imaging

Request preprint

In preparation

AI prediction of AKT1 and PIK3CA hotspot mutations in breast adenocarcinoma from H&E whole-slide images using deep learning

Imagenomix, with clinical collaborators · Manuscript in preparation, 2026

Imagenomix Research Team

AKT1PIK3CADeep learningMutation prediction

Request preprint

Peer-reviewed

Classification and mutation prediction from non-small cell lung cancer histopathology images using deep learning

Coudray N, et al., with Aris Tsirigos · Nature Medicine, 2018 · the landmark study that first established image-based mutation prediction

Tsirigos Lab, NYU Langone Health

Lung cancerFirst to publishDeep learning

Peer-reviewed

Selected publications in molecular neuropathology, glioma, and brain tumor diagnostics

Neuro-Oncology, Acta Neuropathologica, and others

Snuderl Lab, NYU Langone Health · Snuderl M, et al.

GliomaIDH mutationNeuropathology