MULTIVISIONdx
Transforming cancer diagnostics
Spatial Biology for Personalized Medicine
MultivisionDx builds AI-powered decision-support tools for personalized diagnosis and treatment selection for solid cancer. Our computer vision technology integrates unique biological and spatial features of the tumor and its microenvironment, generating patient-specific tumor profiles for each patient. This approach allows clinicians to assess tumor aggressiveness and tailor the most effective treatment strategies for individual patients.
Built on years of multidisciplinary research at the University of Helsinki and demonstrated in a 650-patient proof-of-concept study published in Cell, the technology now carries pending patents for both its biomarker-discovery platform and a first-in-class composite biomarker for head-and-neck cancer, establishing a new standard in tumor profiling.
We are MULTIVISIONdx
KAROLINA PUNOVUORI PhD

Karolina has a background in cancer research and stem cell biology, and a passion for scientific innovation and communication. At MultivisionDx she leads scientific strategy, decision-making, and company operations.
FABIEN BERTILLOT PhD

Fabien leverages dual expertise in computational biology and cancer research to bring discoveries into the clinic. At MultivisionDx he leads data‑science operations and product development.
JÁNOS LENGYEL

Engineering visionary with deep expertise in software development, János drives the design and implementation of MultivisionDx’s technological backbone. He shapes the company’s product architecture and ensures robust, scalable solutions.
SARA WICKSTRÖM MD PhD

Sara is Director of the Max Planck Institute for Molecular Biomedicine and a research director and principal investigator at University of Helsinki, and a medical doctor by training. She advises the company on scientific matters and leads a research collaboration between the company and University of Helsinki on clinical studies and biomarker development.
MICHAEL WITTINGER PhD

Michael has extensive experience in building and scaling companies in the areas of oncology, diagnostics and regulation. He advises the company on commercial strategy and regulatory affairs.
Milestones
Media
Clinical impact prize at Owkin/Servier glioblastoma hackathon
MultivisionDx Data Science Lead Fabien Bertillot wins clinical impact prize at Owkin/Servier glioblastoma hackathon.
Owkin
A new imaging analysis method developed by researchers at the University of Helsinki offers a breakthrough in diagnosing head and neck cancers.
Using machine learning, the technique identifies individual cancer cell behaviors and tumor-tissue interactions, improving prognosis predictions and guiding personalized treatments. It could revolutionize diagnostics while remaining cost-effective.
University Of Helsinki
Uusi kuvantamisanalyysi mullistaa pään ja kaulan alueen syövän diagnostiikan
New method enables precise single-cell analysis of cancer and surrounding tissues, improving diagnosis and treatment predictions for head and neck cancer.
(article in Finnish)
STT INFO
Pään ja kaulan alueen syöpä iskee satoihin joka vuosi – Suomessa tehty merkittävä läpimurto
Leading Finnish tabloid ILTALEHTI reports on Multivision’s breakthrough cancer diagnostic tool. (article in Finnish)
ILTALEHTI
Comprehensive diagnosis of head and neck tumors
An international team of researchers led by Sara Wickström has now developed a new technique that allows the properties of cancer cells and their surrounding tissue to be analyzed in detail at the single-cell level.
Max Planck Institute Newsroom
Multivision Diagnostics - winner of the health and pharma pitching competition at Y Science 2023
Multivision Diagnostics takes the top spot in the Health and Pharma Pitching Competition at Y Science 2023, showcasing cutting-edge innovations shaping the future of healthcare.
University Of Helsinki
Multivision Diagnostics plans to transform cancer diagnostics and treatment
Multivision Diagnostics aims to revolutionize cancer diagnostics and treatment by developing advanced tools for more precise and personalized healthcare.
University Of Helsinki