Company profile

DoMore Diagnostics

Pathology & Laboratory Diagnostics

Company profile

About DoMore Diagnostics

DoMore Diagnostics is transforming cancer care through artificial intelligence-powered digital pathology for clinical decision support. The company was established to meet the need for novel methods in precision medicine to personalize treatment for cancer patients, based on prominent research from leading institutions including Oslo University Hospital, Oxford University, and University College of London. The research project was selected as a Lighthouse project by the Norwegian Research Council to develop new diagnostic methods for cancer based on artificial intelligence, led by the late Prof. Håvard Danielsen with an aim to utilize new AI technology in digital pathology to reduce over- and undertreatment in cancer. The company's lead product, Histotype Px® Colorectal, is a CE-IVDD marked digital biomarker that leverages deep learning and digital pathology to predict patient outcomes and support more accurate, personalized treatment decisions in colorectal cancer (CRC). The solution addresses a major unsolved challenge in cancer care: the lack of reliable and affordable biomarkers to personalize treatment. In stage II and stage III CRC, surgery is often followed by adjuvant chemotherapy (ACT) in a one-size-fits-all approach, yet most patients are cured by surgery alone and ACT provides no benefit to the majority of patients (96-98% in stage II and 80% in stage III), only exposing them to short- and long-term side effects. Histotype Px® Colorectal is an advanced deep neural network algorithm for determining recurrence and survival prognosis in colorectal cancer based on routine H&E-stained histology slides. The algorithm is robust and based on solid ground truth and extensive training and testing with 4,500 patient samples and 90 million image tiles. The slides were prepared at several sites and scanned at two sites with two different scanners to ensure the test is robust and can be used in clinical practice. The solution provides accurate risk stratification, rapid turnaround time, seamless workflow integration, and complements and improves the accuracy of ctDNA testing. DoMore Diagnostics has received European Innovation Council (EIC) funding, combining grants and equity awarded up to €10 million in financing.

Company description DoMore Diagnostics official website

Primary marketPathology & Laboratory Diagnostics
Commercial modelCommercial information available on request
Company presenceOfficial website
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01 · Operating footprint

Where the Company operates

Company-profile context for clinical focus, customers, deployment, integration, milestones, and partnerships.

Clinical focus

  • Colorectal cancer (CRC)
  • Stage II colorectal cancer
  • Stage III colorectal cancer

Who it serves

  • Cancer Centers
  • Health Systems
  • Oncology Departments
  • Pathology Laboratories

Deployment & integration

Other deployment with recorded integration context.

Geographic context

MarketsEurope · Norway · United States
Company sourceOfficial website

Company milestones

Platform expansion

Received European Innovation Council (EIC) Accelerator funding up to €10 million (grants up to €2.5 million combined with equity investments €0.5-€15 million). New US patent granted in May 2026 covering Histotype Px® methods including histological image analysis to predict patient outcomes. CE-IVDD certification for Histotype Px® Colorectal.

Partnerships

Recorded partners

  • Aarhus University Hospital
  • Erasmus MC Cancer Institute
  • Gustave Roussy Cancer Campus
  • Ohio State University Comprehensive Cancer Center
  • Oslo University Hospital
  • Oxford University
  • Stavanger University Hospital
  • University College of London
  • University Medical Center Utrecht
  • University of Bergen

02 · Flagship portfolio

Products, workflows, and platform capabilities

Selected source-backed Company products and the available commercial context.

Histotype Px® Colorectal

AI-powered digital biomarker for colorectal cancer prognosis and treatment personalization

Software · OtherCompany source

03 · Research intelligence

Research Intelligence evidence

Publications, preprints, clinical validation, and regulatory records in Evidence Position order.

Evidence position

Publications, clinical validation, and regulatory records connected to this Company appear here.

Research

Publications & preprints

No linked records are currently available.

Clinical validation

Clinical-trial records

No linked records are currently available.

Regulatory

Regulatory records

No linked records are currently available.

04 · Company-reported outcomes

Outcomes and case studies

Company-reported outcomes and customer stories are distinct from linked Research Intelligence evidence.

Risk stratification for recurrence and survival prognosis

Stage II and III colorectal cancer patients

Identification of patients likely to benefit from adjuvant chemotherapy

Avoiding overtreatment in 96-98% of stage II and 80% of stage III patients who don't benefit from ACT

Improved accuracy of ctDNA tests

Reduces false negatives when combined with ctDNA testing

Reduced overtreatment and undertreatment

Personalized treatment decisions for colorectal cancer patients

Aarhus University Hospital

Development and validation of digital biomarker to predict survival outcomes and guide personalized treatment decisions for colorectal cancer patients

Erasmus MC Cancer Institute

Clinical evaluation of Histotype Px for personalized cancer treatment decisions in colorectal cancer to avoid over- and undertreatment

Potential to significantly improve patient outcomes and reduce health care costs

Gustave Roussy Cancer Campus

Evaluation of Histotype Px Colorectal digital biomarker to address unmet medical need in treatment decision-making for colorectal cancer patients

Ohio State University Comprehensive Cancer Center

Pilot validation of Histotype Px as a tool to guide treatment decisions to escalate or de-escalate adjuvant chemotherapy in high-risk stage II and stage III colon cancer

Supports clinical utility for treatment decision-making in patients who do not benefit from toxic treatment

Stavanger University Hospital

Clinical collaboration to develop better biomarkers for colorectal cancer to optimize treatment strategies and minimize side effects

University College London

Clinical validation of Histotype Px for personalized cancer therapy targeting adjuvant therapy to patients who will benefit

Improved patient outcomes through tailored treatment decisions

University Medical Center Utrecht

Pilot study combining Histotype Px with ctDNA testing to improve accuracy and reduce false negatives in identifying patients who may benefit from adjuvant chemotherapy

Improved accuracy of ctDNA tests and reduced false negatives

05 · Leadership

Leadership team

Leadership profiles and professional links from the current Company record.

Håvard Danielsen

Founder (Late Professor)

06 · Company updates

Updates from DoMore Diagnostics

Recent articles published on DoMore Diagnostics's official website.

07 · HAIC coverage

Coverage and analysis

Health AI Central reporting that mentions this Company.

No HAIC coverage is currently linked to this Company.

08 · Official presence

Company sources and channels

Curated official destinations from the active Company record.

09 · Market pathway

Additional Companies in this Market

Other active Companies in the same market, selected alphabetically from the HAIC directory.

Market context

Pathology & Laboratory Diagnostics

Companies applying AI to digital pathology, histopathology slide analysis, laboratory diagnostics, or biomarker discovery. Includes AI-powered interpretation of lab test results, at-home diagnostic devices with AI analysis, and platforms that analyze tissue samples or biological specimens to support clinical diagnosis.

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ResearchEvidence analysis

Linked research, clinical, and regulatory source pathways.

CompanyTechnical context

Expanded product, deployment, integration, and partnership research.

MethodSource & review record

Record-level provenance and review context.

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