AKT1 mutation detection in breast cancer with AI on standard pathology slides
Official title: Analytical Variables and Clinical Utility of AKT1 Mutation Prediction in Breast Cancer Using Deep Learning on Histopathology Images
Funded at Imagenomix Corp. · NIH-11312149 · Data updated 2026-11-12
A new AI tool called AKT Predict aims to quickly and cheaply identify AKT1 mutations in breast cancer using regular pathology slides.
Quick facts
| Grant type | Sbir 1 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Imagenomix Corp. NIH-funded |
| Lab location | 1 site (Brooklyn, United States) |
| Project start | September 18, 2026 |
| Project end | August 31, 2028 |
| Funding year | 2026 |
| Award (this year) | $157,826 |
| NIH project number | 1R43CA309961-01 |
| Project ID | NIH-11312149 on NIH RePORTER |
Who could benefit from this research
✓Could help
Breast cancer patients whose tissue slides are used for diagnostic pathology and who may be candidates for AKT1-targeted therapies or related trials.
✕Less likely to help
Patients whose tumors do not harbor AKT1 mutations or whose samples are inadequate for AI analysis may not benefit.
What this research studies
This project will develop and test a deep learning algorithm that analyzes routine H&E slides to predict AKT1 mutations, reducing the need for additional tissue sampling. It seeks to validate how well the AI can detect mutations across breast cancer samples and potentially other actionable mutations. If successful, this could speed up patient enrollment in targeted therapy trials and broaden access to molecular screening.
Why it matters
Potential benefit: If successful, patients could receive faster, cheaper mutation screening to guide targeted therapies.
How similar studies have gone: AI-based pathology analysis has shown promise in mutation prediction, but this specific AKT1-focused approach is novel and requires validation.
Where this research is happening
-
Imagenomix Corp.
Brooklyn, United States Active
Researchers
- Principal investigator: Teverovskiy, Mikhail — Imagenomix Corp.
- Study coordinator: Teverovskiy, Mikhail
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About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.