Imagene AI and Mindpeak team up on NSCLC biomarker profiling

Imagene AI and Mindpeak will integrate Imagene AI’s Lung Prediction Panel into Mindpeak’s peakDeploy platform, expanding access to H&E-based NSCLC biomarker profiling inside digital pathology workflows. The move is designed to help laboratories adopt AI-powered biomarker tools for precision diagnostics, clinical trial screening, and oncology programs.

Why it matters: - The collaboration could make image-based biomarker profiling easier to use inside the lab systems pathologists already rely on. - The integration targets non-small cell lung cancer, where biomarker status can shape trial enrollment, treatment selection, and precision oncology workflows. - The companies say the setup is meant to support broader deployment of AI-powered pathology tools across laboratories and pathology networks.

What happened: - Imagene AI and Mindpeak announced that Imagene AI’s NSCLC multi-gene biomarker panel will be integrated into Mindpeak’s peakDeploy platform. - The announcement was made Oct. 19, 2026, from Hamburg, Germany and Tel Aviv, Israel. - The companies said the goal is to make H&E-based NSCLC biomarker profiling available within existing laboratory and digital pathology environments.

The details: - Imagene AI’s Lung Prediction Panel is designed to predict genomic alterations in EGFR, KRAS, BRAF, HER2, MET, ALK, ROS1 and RET. - The panel is being expanded to include classifiers for PD-L1 expression and HER2 overexpression. - Imagene AI built the panel on its proprietary foundation models and computational pathology platform. - The system is designed to support biomarker-driven oncology workflows from standard pathology images. - Mindpeak’s peakDeploy platform embeds tissue AI directly into laboratory workflows. - peakDeploy gives pathology teams access to image analysis tools within systems they already use. - The partnership is intended to streamline adoption of AI-powered biomarker profiling in NSCLC for laboratories worldwide. - Dean Bitan, CEO and co-founder of Imagene AI, said the integration is a step toward making the Lung Prediction Panel available within established digital pathology environments. - Bitan said the companies want to bring biomarker intelligence from routine H&E images into digital pathology environments that can support clinical trial screening, precision diagnostics and biomarker-driven oncology programs. - Felix Faber, CEO of Mindpeak GmbH, said the expanded collaboration adds multi-gene biomarker prediction directly into routine pathology workflows worldwide. - Faber said the integration expands the capabilities available through peakDeploy and supports a scalable and practical path for laboratories adopting AI-powered pathology solutions. - Imagene AI said the Lung Prediction Panel is for Research Use Only and not for diagnostic procedures. - Imagene AI said its LungOI product was the first AI-based NSCLC multi-gene biomarker panel to receive a PLA code and CMS payment rate. - Imagene AI said LungOI was developed, validated and deployed across multiple centers and laboratories globally. - Mindpeak said it was founded in 2018. - Mindpeak said its AI technology supports H&E, IHC and mIF tissue images, from subcellular biomarker quantification to predictive patient stratification.

Between the lines: - The deal shows two vendors trying to move AI pathology from standalone tools into routine lab infrastructure. - The focus on workflow integration matters because adoption in pathology often depends on how easily new software fits existing systems. - The RUO status means the Lung Prediction Panel is not positioned as a diagnostic product, even as the companies highlight clinical and commercial use cases around screening and precision oncology.

What's next: - Imagene AI and Mindpeak said they will be available at the upcoming ESMO Congress to discuss broader deployment of AI-powered NSCLC biomarker profiling. - The companies will likely use the conference to pitch the integration to laboratories, pathology networks and oncology stakeholders. - More information is available on Imagene AI and Mindpeak.