SciTransfer
Organization

PRE DIAGNOSTICS AS

Norwegian diagnostics SME developing blood-based biomarkers and AI-powered screening tools for early detection of Alzheimer's and dementia.

Technology SMEhealthNOSME
H2020 projects
3
As coordinator
1
Total EC funding
€2.6M
Unique partners
35
What they do

Their core work

Pre Diagnostics is a Norwegian SME focused on early detection of neurodegenerative diseases, particularly Alzheimer's disease. They develop blood-based biomarker diagnostics and digital screening tools for dementia risk assessment. Their work bridges wet-lab diagnostics (blood tests identifying Alzheimer's pathology) with AI-powered brain connectivity analysis, positioning them at the intersection of clinical diagnostics and digital health. They coordinate clinical validation projects and contribute diagnostic expertise to larger research consortia.

Core expertise

What they specialise in

Blood-based biomarkers for Alzheimer's diseaseprimary
1 project

Coordinated the VERDAD project (EUR 2.36M) specifically developing blood-based biomarkers for early Alzheimer's pathology detection.

AI-driven dementia screening and risk estimationprimary
1 project

Participating in AI-Mind, which applies machine learning and deep learning to brain connectivity analysis for dementia risk assessment.

Neurodegeneration biology (autophagy and secretion pathways)secondary
1 project

Contributed to the SAND project studying autophagy, secretion, and Golgi apparatus dysfunction in neurodegeneration.

Clinical diagnostic tool development for SMEssecondary
1 project

VERDAD was funded under the SME-2 instrument, indicating a commercialization-ready diagnostic product trajectory.

Evolution & trajectory

How they've shifted over time

Early focus
Blood-based Alzheimer's biomarkers
Recent focus
AI-powered dementia screening

Pre Diagnostics entered H2020 in 2019 with parallel efforts in both biological research (SAND — autophagy and neurodegeneration mechanisms) and applied diagnostics (VERDAD — blood biomarkers for Alzheimer's). By 2021, their focus shifted decisively toward digital and AI-based approaches with AI-Mind, incorporating machine learning, deep learning, and multimodal risk assessment for dementia screening. This trajectory shows a clear move from bench-level biology toward scalable, technology-driven diagnostic tools.

Pre Diagnostics is moving from laboratory biomarker research toward AI-enabled, scalable digital screening tools for neurodegenerative diseases — a direction aligned with growing demand for non-invasive, early-stage dementia detection.

Collaboration profile

How they like to work

Role: active_partnerReach: European14 countries collaborated

Pre Diagnostics operates as both a project leader and a contributing specialist. They coordinated VERDAD (their largest project at EUR 2.36M under the SME Instrument), showing capacity to lead clinical validation efforts, while also joining larger research consortia like SAND and AI-Mind as a participant. With 35 unique partners across 14 countries from just 3 projects, they are comfortable in broad, international consortia rather than small, tight-knit teams.

Despite only three H2020 projects, Pre Diagnostics has built a wide network of 35 partners across 14 countries, reflecting their participation in large multi-national health consortia. Their reach is distinctly pan-European rather than concentrated in any single region.

Why partner with them

What sets them apart

Pre Diagnostics combines two capabilities that rarely sit in the same SME: deep understanding of neurodegenerative disease biology (protein secretion, autophagy pathways) and applied AI/digital health tool development for clinical screening. This dual competence makes them a valuable bridge between fundamental neuroscience research and market-ready diagnostic products. Their SME Instrument funding for VERDAD signals that the EU recognized their commercial readiness, not just their research quality.

Notable projects

Highlights from their portfolio

  • VERDAD
    Their flagship project as coordinator (EUR 2.36M, SME Instrument Phase 2), validating a blood-based biomarker for early Alzheimer's detection — a high-commercial-potential diagnostic.
  • AI-Mind
    A large-scale health RIA running until 2026 that applies deep learning and brain connectivity analysis to dementia screening, representing their strategic pivot toward AI-powered diagnostics.
Cross-sector capabilities
Digital health and AI diagnosticsMachine learning for clinical decision supportBiomarker discovery and validationAging and elderly care technologies
Analysis note: Profile based on only 3 H2020 projects (2019-2021 start dates). The organization's keyword data is concentrated entirely in the recent period, making early vs. late evolution analysis less robust — the apparent shift from biomarkers to AI may simply reflect project sequencing rather than a strategic pivot. No website available for independent verification of commercial activities.