SciTransfer
Organization

CARE ACROSS LTD

London SME applying AI and big data analytics to cancer patient care, wellbeing monitoring, and health outcome prediction.

Technology SMEhealthUKSMENo active H2020 projects
H2020 projects
3
As coordinator
0
Total EC funding
€1.0M
Unique partners
49
What they do

Their core work

Care Across is a London-based health technology SME that applies artificial intelligence and big data analytics to improve patient outcomes, with a strong focus on cancer care. They develop data-driven tools that help predict health trajectories, monitor wellbeing, and support clinical decision-making for cancer patients during and after treatment. Their work bridges the gap between large-scale health data collection and actionable insights for healthcare providers and patients alike.

Core expertise

What they specialise in

AI-driven cancer patient supportprimary
2 projects

Both ONCORELIEF and ASCAPE focus on using AI and big data to improve quality of life and health outcomes for cancer patients across Europe.

Big data analytics for healthcareprimary
3 projects

All three projects (CrowdHEALTH, ONCORELIEF, ASCAPE) involve aggregating and analyzing large health datasets to derive clinical or policy insights.

Health economic data analysissecondary
1 project

ASCAPE explicitly addresses health economic data and healthcare metadata, suggesting capability in cost-effectiveness and health economics modeling.

Public health data systemssecondary
1 project

CrowdHEALTH focused on collective wisdom and crowd-sourced health data to drive public health policies.

Evolution & trajectory

How they've shifted over time

Early focus
Public health data aggregation
Recent focus
AI for cancer patient care

Care Across began with broader public health data work through CrowdHEALTH (2017), focused on aggregating population-level health information for policy support. By 2020, they had narrowed sharply toward cancer-specific AI applications, launching two concurrent projects (ONCORELIEF and ASCAPE) centered on machine learning for cancer patient wellbeing and care prediction. This trajectory shows a clear specialization from general health informatics toward precision oncology support tools.

Care Across is deepening its specialization in AI-powered oncology support, making them a strong candidate for future projects combining machine learning with cancer survivorship or personalized treatment monitoring.

Collaboration profile

How they like to work

Role: specialist_contributorReach: European16 countries collaborated

Care Across operates exclusively as a consortium partner, never as coordinator, which suggests they bring specialized technical capability rather than project management leadership. With 49 unique partners across just 3 projects, they work in large research consortia — averaging over 16 partners per project. This indicates comfort operating in complex, multi-national teams where they contribute a defined technical component.

Despite only three projects, Care Across has built a broad network spanning 49 unique partners across 16 countries, reflecting the large consortium sizes typical of EU health research. Their reach is firmly pan-European with no obvious geographic concentration.

Why partner with them

What sets them apart

Care Across occupies a niche at the intersection of AI, big data, and oncology patient support — a combination few SMEs can credibly claim with EU project backing. As a private company rather than a research institute, they are positioned to translate research outputs into deployable products and services. For consortium builders, they offer a rare combination: SME agility, health AI expertise, and proven experience in large EU health projects.

Notable projects

Highlights from their portfolio

  • ASCAPE
    Largest funding (€408K) and most technically ambitious — combines AI, machine learning, big data analytics, and health economics to support cancer patients across Europe.
  • ONCORELIEF
    Highest single funding (€419K) with a distinctive 'digital guardian angel' concept for post-treatment cancer patient monitoring and wellbeing.
Cross-sector capabilities
Digital health platformsAI and machine learning applicationsPublic health policy analyticsHealth economics and cost modeling
Analysis note: Profile based on only 3 projects, all as participant. The early-period keyword data is empty (CrowdHEALTH had no keywords recorded), so the evolution analysis relies partly on project titles and descriptions. No website available for independent verification of commercial activities. The consistent cancer/AI theme across 2 of 3 projects provides reasonable confidence in the specialization assessment.