MULTIVISIONdx
Transforming cancer diagnostics
Spatial Biology for Personalized Medicine
We are developing decision-support tools for personalized diagnostics and therapy selection for solid tumors.
- MultivisionDx™ is a machine learning computer-vision algorithm for high-throughput analysis of multiplex-stained tumor biopsies
- Proof-of-concept in 650+ head-and-neck cancer patients (Punovuori et al 2024, Cell)
- Patents pending for biomarker discovery platform and first-in-class compound biomarker for HNSCC
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Biopsy
Standard diagnostic biopsy and routine histology workflow -
Sample Preparation
Slide is treated with labeled antibodies -
Scanning
Multiplexed scanning -
Spatial Analysis
Machine learning algorithm assigns patient to one of known risk groups -
Report
A prognostic result is provided to the physician
Milestones
Media
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
We are MULTIVISIONdx
SARA WICKSTRÖM MD PhD
Project Director Professor, Director at Max Planck Institute for Molecular Biomedicine. World leader in stem cell and cancer research
Among “50 Scientists in the World Who Inspire” selected by Cell Press 2024. Innovation in Cell Biology Awardee 2023 by ASCBMICHAEL WITTINGER PhD
Business Advisor Expert in business development in diagnostics and oncology
Serial entrepreneur in diagnostic software companiesKAROLINA PUNOVUORI PhD
Scientific Lead Expert in tissue biology and professional science communicator
International research experience in top UK and Finnish UniversitiesFABIEN BERTILLOT PhD
Data Science Lead Expert in computational cancer biology in academia and industry
Bridging computational cancer diagnostics in leading academic institutions and startupsJÁNOS LENGYEL
Software Lead Expert in software development
Roles in software development in world leading companies (IBM, General Electric)KATE MIROSHNIKOVA PhD
Assay Development Leader in tissue engineering research and computational image analyses
Research expertise in world leading institutions (Berkeley, USCF), principal investigator at NIH