HNN3.0

Project cooperationUpdated on 10 January 2026

ForecomAI: Enhanced Image Analysis for Next-Generation NAM Platforms

CEO at ForecomAI

London, United Kingdom

About

We offer AI and multimodal computational capabilities suited to the development, optimisation, and validation of NAM platforms under HORIZON-HLTH-2026-01-TOOL-03. Our expertise includes: (i) quantitative cell morphology modelling from fluorescence and brightfield imaging; (ii) protein subcellular localisation; and (iii) multimodal architectures integrating imaging with gene, protein, and compound information to support mechanism-of-action inference, quality control, and predictive performance. We are seeking partners forming consortia to build scalable, human-relevant NAMs using iPSC-derived systems, organoids, or organ-on-chip models, particularly where high-content imaging and rigorous image analysis are necessary to improve disease-modelling precision, support regulatory-aligned validation strategies, and enhance confidence in AI-enabled predictions.

Topic

  • DESTINATION 5: HORIZON-HLTH-2026-01-TOOL-03: Integrating New Approach Methodologies (NAMs) to advance biomedical research and regulatory testing

Type

  • Partner seeks Consortium/Coordinator

Organisation

ForecomAI

Company (SME)

London, United Kingdom

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