Last updated September 25, 2026

CancerTwin

Using digital tumor models to discover early cancer biomarkers

Cancer ScreeningBiomarkersPrecision Medicine

Finding cancer early requires reliable biological signals that distinguish disease from normal variation. Tumors differ between patients and contain many interacting cell types, making useful markers difficult to identify. Measurements that reflect these differences could improve diagnosis and monitoring.

CancerTwin develops digital models of tumors to identify biomarkers for earlier, individualized cancer detection. It combines clinical information with detailed biological measurements to prioritize signals that may be measurable in routine diagnostic samples.

Key Investor Signals

Built on biomarker research involving nearly 2,000 patients

CEO Mikael Benson’s academic team tested candidate prostate-cancer biomarkers in blood, tissue and urine from nearly 2,000 patients in research published in 2025.

Commercializing Karolinska digital-twin research

CancerTwin was created from the and ’s Medical Research Group, turning that research into a cancer-diagnostics venture.

Added Harvard physician-scientist Joseph Loscalzo as advisor

CancerTwin’s scientific advisor is Joseph Loscalzo, a Harvard Medical School professor whose work includes systems biology and network approaches to medicine.

Other Positive Signals

  • Built on 2025 publications exploring how digital twins can support personalized medicine.

Team

Mikael Benson

CEO

  • Leads Karolinska Institutet’s Medical Digital Twin Research Group, integrating clinical and molecular data for personalized medicine.
  • Led the 2025 prostate-cancer study that tested candidate biomarkers across blood, tissue and urine from nearly 2,000 patients.
  • Co-authored 2025 Nature Biotechnology and Genome Medicine papers on medical digital twins for preventive and personalized medicine.

Product

CancerTwin builds computational tumor models at the level of diagnostic groups, subtypes and individuals. The models combine clinical information with measurements, including data describing individual cells and their position within tissue.

Combining clinical and molecular information

The modeling workflow integrates routine clinical variables with different layers of biological data. Spatial single-cell measurements help represent both the activity and location of cells within a tumor.

Modeling disease groups and individual tumors

Digital twins represent relevant biological interactions at different scales, from broad diagnostic groups to individual patients. Computational analysis prioritizes mechanisms associated with early disease.

Prioritizing markers for practical testing

The platform seeks measurable biomarkers and potential drug targets from model outputs. Candidate diagnostic signals then require laboratory and clinical evaluation before they can support routine patient decisions.

Market Overview

Earlier cancer diagnosis and individualized monitoring are major priorities for health systems and diagnostic developers. discovery must balance biological detail with tests that are practical, reproducible and affordable. Broad cancer incidence describes the clinical need, while each validated test would serve a narrower indication and population.

The commercial opportunity sits within oncology diagnostics and biomarker discovery, where laboratories and test developers seek non-invasive signals that can detect disease earlier and stratify patients more precisely. Prostate cancer provides an initial proof area: improved biomarkers could reduce unnecessary biopsies while supporting earlier diagnosis.

New cancer cases worldwide in a year
20M

An estimated 20 million new cancer cases occurred worldwide in 2022.

People living after a recent cancer diagnosis
53.5M

In 2022, an estimated 53.5 million people worldwide were alive within five years of a cancer diagnosis.

New prostate cancer cases worldwide
1.5M

An estimated 1.5 million new prostate cancer cases occurred worldwide in 2022.

Countries funding core cancer services
39%

Only 39% of 115 countries surveyed by WHO covered basic cancer management in financed core health services for all citizens.

Comparable Outcomes

Cancer molecular diagnostics

Decipher Biosciences

Acquired by Veracyte for $600M.

Developed genomic tests that assessed prostate cancer risk and helped clinicians guide treatment decisions. Veracyte completed its $600 million cash acquisition of Decipher Biosciences in March 2021.

AI cancer diagnostics

Paige

Acquired by Tempus for $81.25M.

Developed AI for digital pathology, using clinically annotated tissue images to support cancer diagnosis, biomarker discovery and research. Tempus acquired Paige in August 2025 for $81.25 million, expanding its AI-powered digital pathology capabilities.

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Sources

This profile was built from public company materials, ecosystem sources, market references, and professional profiles.

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