SciTransfer
Organization

PERSONAL GENOMICS SRL

Italian genomics SME applying sequencing and explainable AI to ageing research, clinical knowledge, and environmental monitoring.

Technology SMEhealthITSME
H2020 projects
4
As coordinator
0
Total EC funding
€1.4M
Unique partners
65
What they do

Their core work

Personal Genomics is an Italian SME based in Verona specializing in genomic analysis and bioinformatics services. They provide sequencing and data interpretation capabilities to research consortia studying ageing, disease mechanisms, and environmental health. More recently, they have expanded into explainable AI and machine learning applied to clinical and biomedical knowledge, positioning themselves at the intersection of genomics and digital health.

Core expertise

What they specialise in

Genomics and bioinformatics for ageing researchprimary
2 projects

Core contributor to both PROPAG-AGEING (Parkinson's/ageing) and PANINI (physical activity and nutrition in ageing), providing genomic analysis capabilities.

Explainable AI for clinical knowledgeemerging
1 project

Participant in KATY (2021-2025), focused on explainable machine learning and AI applied to clinical knowledge systems.

Environmental monitoring and water quality genomicssecondary
1 project

Contributed to INTCATCH (2016-2020), likely providing genomic or molecular tools for water catchment monitoring.

Health data analysis and disease mechanismsprimary
3 projects

Three of four projects (PROPAG-AGEING, PANINI, KATY) involve health-related data analysis, from ageing biology to clinical AI.

Evolution & trajectory

How they've shifted over time

Early focus
Genomics for ageing and disease
Recent focus
Explainable AI for clinical data

In 2015-2019, Personal Genomics focused squarely on life sciences — genomic analysis for ageing research and neurodegenerative disease (PROPAG-AGEING, PANINI), alongside an environmental monitoring application (INTCATCH). From 2021 onward, their focus shifted decisively toward digital health and AI, with the KATY project centring on explainable machine learning for clinical knowledge. This signals a company transitioning from pure genomics services toward AI-augmented biomedical intelligence.

Personal Genomics is moving from wet-lab genomic services toward AI-driven clinical data interpretation — expect future work at the intersection of genomics, machine learning, and health informatics.

Collaboration profile

How they like to work

Role: specialist_contributorReach: European15 countries collaborated

Personal Genomics operates exclusively as a participant, never coordinating projects. With 65 unique consortium partners across 15 countries from just 4 projects, they join large, well-funded consortia where they contribute specialist genomics and data analysis capabilities. This pattern suggests a reliable technical partner that brings niche expertise without seeking project leadership overhead.

Despite only 4 projects, they have built a broad network of 65 partners across 15 countries, indicating participation in large European consortia. Their reach spans well beyond Italy, with a genuinely pan-European collaborative footprint.

Why partner with them

What sets them apart

Personal Genomics combines deep genomics and sequencing expertise with a growing capability in explainable AI — a rare combination among Italian SMEs. Their track record spans both biological sciences and digital health, making them a versatile partner for projects that need to bridge molecular data with machine learning. For consortium builders, they offer a commercially minded SME that understands both the lab bench and the algorithm.

Notable projects

Highlights from their portfolio

  • PROPAG-AGEING
    Their largest funded project (EUR 635,875), investigating the continuum between healthy ageing and Parkinson's Disease — a high-impact health topic.
  • KATY
    Their most recent project (2021-2025) marks a strategic pivot into explainable AI for clinical knowledge, signalling the company's future direction.
  • INTCATCH
    An unusual diversification into environmental water monitoring, demonstrating their genomic tools have applications beyond human health.
Cross-sector capabilities
digitalenvironmentsociety
Analysis note: With only 4 projects and no early-period keywords, the profile relies partly on project titles and sector tags. The genomics expertise is inferred from the company name and project contexts rather than explicit keyword data. The pivot toward explainable AI is well-supported by the KATY project keywords. A two-year gap (2020-2021) between INTCATCH ending and KATY starting may indicate a strategic repositioning period.