About This Project
Cancer is the top killer of dogs, yet no reliable early screening exists. We develop liquid-biopsy blood tests that use cell-free DNA (cfDNA) profiling and AI to detect early cancer signals. Our research asks whether fragmentomic and genomic patterns can reveal multi-cancer risk in routine vet settings. We hypothesize that these cfDNA signatures, analyzed with ML, enable accurate early detection and better outcomes. We need clinical data to finish our first field test.
Ask the Scientists
Join The DiscussionWhat is the context of this research?
We began developing CaniSense in 2022 to address the lack of affordable, reliable cancer screening for dogs, even though cancer is their leading cause of death. Most tumors are detected late—up to 80%—because symptoms stay hidden under fur and tumors can grow faster than in humans. Liquid biopsy has shown strong potential for early cancer detection in humans [Rolfo et al., 2018] and cfDNA signals are increasingly recognized as biomarkers of early tumor activity [Ding & Lo, 2022]
Our biomarkers with AI-based analysis deliver cancer-risk results making preventive screening feasible during routine checkups. The research question our project aims to answer is: Can cfDNA-based genomic and fragmentomic signatures, analyzed with machine learning, reliably reveal early multi-cancer risk in dogs? We hypothesize that these biomarkers will detect tumors earlier than current veterinary diagnostics, improving outcomes and enabling true preventive care.
What is the significance of this project?
Early detection can save lives by identifying tumors at an earlier and more treatable stage, extending a dog’s life by up to two years. The test is affordable and accessible at under $200, making advanced cancer diagnostics feasible for routine checkups, especially in older dogs. It is beeing validated in the field with 30 dogs, in a first cohort.
The product provides veterinarians with rapid, actionable insights that increase diagnostic confidence while opening new revenue streams. For dog owners, it offers peace of mind, lowers the cost burden of late-stage treatments, and improves their pet’s overall quality of life. As a strategic entry product, it enables testblu, a Berlin-based veterinary diagnostics startup, to prepare the clinical data needed to support product development and the fundraising. The fund will be used to expand to more cancers and additional disease categories.
What are the goals of the project?
To answer our research question, we will complete a focused clinical validation using blood samples from 30 dogs provided by participating veterinary clinics. For each sample, we will isolate cfDNA, quantify and sequence it using our already stablished workflow, and analyze the data with our AI model to determine whether the biomarker patterns accurately indicate tumor presence. We will then compare the model’s predictions with each dog’s clinical findings to measure sensitivity, specificity, and overall diagnostic performance. Throughout the study, we will communicate individual test results to the veterinarians, gather structured feedback, and document how the results influence their diagnostic decisions. The funding will support laboratory processing, sequencing costs, and data analysis over a 3–4 month period. This project will generate the first real-world dataset needed to refine our biomarker panel and prepare the groundwork for a larger 200-dog validation cohort.
Budget
We need material for 30 samples. The largest cost is lab consumables: DNA extraction kits, library-prep reagents, and QC chemicals, totaling $8,000. These materials allow us to isolate cfDNA and prepare each sample for sequencing with consistent quality. Transport of biological samples requires temperature-controlled courier services; the $1,000 allocated covers packaging and same-day delivery to preserve cfDNA integrity. We also need sterile single-use blood-taking kits for all dogs, costing 4,000, which include needles, stabilizing tubes, and antiseptic materials needed for safe and standardized collection. To ensure each sample meets sequencing requirements, $4,000 is allocated for electrophoresis gels, quantification reagents, and dyes. Finally, $2,000 supports computing and software for data storage, processing, and quality-control analysis. This budget reflects the minimum required to generate reliable validation data for our test.
Endorsed by
Project Timeline
Beginning in January 2026, or when funds are ready (whichever comes first), we will continue our open-field cohort with 30 more dogs and gather the first round of clinical and user feedback to finalize product readiness. We will first announce to our pilot clinics that we need additional samples from them. Over the following months, we will continue collecting samples and complete the 50-dog validation dataset. In May 2026, we plan to launch and start the seed round.
Jan 07, 2026
Project Launched
Jan 30, 2026
Start collection of samples
Mar 30, 2026
30 new samples have been processed and we have the data of 50 samples ready.
Apr 30, 2026
Data analysis is finished and test performance is ready
May 31, 2026
Launch and start the seed round.
Meet the Team
Team Bio
We also get support from our team of advisors, and students who seek part time and minijobs.
Shahab Shoaei Matin
http://www.linkedin.com/in/sha...Shahab is the Founder and CEO of testblu diagnostics, a Berlin-based veterinary diagnostics startup. With a background in industrial engineering, systems engineering, and supply chain management, he has over 15 years of international experience leading complex projects in engineering, IT, and life sciences. Before founding testblu in 2024, he worked as a consultant for leading firms in Germany and previously founded ISCAM Engineering Ltd., successfully managing software and engineering projects. His passion for biotechnology, oncology, and AI-driven healthcare innovation led to the creation of testblu, with the mission to revolutionize cancer detection in companion animals
Fatemeh Zebardast
https://www.linkedin.com/in/fa... Tima (Fatemeh) Zebardast. I'm a recent PhD graduate with over four years of experience specializing in the analysis of single cell and bulk RNA-seq data, and trained in other seq data like Spatial single-cell, ATAC-seq and Chip-seq. I am proficient in R programming, Linux shell scripting, SLURM for high-performance computing (HPC), and server cluster management, with working knowledge of Python. I am passionate about developing computational methods that bridge bench research and actionable insights, particularly in advancing disease treatment. I thrive in research environments where I can apply my self-motivation, independent thinking, and problem-solving skills.
Publications:
Lab Notes
Nothing posted yet.
Additional Information
CaniSense Light is tailored for veterinary oncology. The test analyzes short cfDNA fragments shed by tumors, capturing mutational and epigenetic signatures undetectable by imaging or physical exams. This scientific foundation creates a scalable diagnostic engine for multi-cancer detection and beyond, for other diseases and other animals.
The science generated from this project and others at testblu can be used in human diagnostics too.
The Fronters that we push are in three levels:
1- technology: how to leverage AI to make the best prediction from available Data
2-Data generation: how to efficiently generate the necessary biological data with sufficient quality for effective AI implementation.
3- Quick validation of AI-platforms in veterinary-first model: This is a win-win approach, as the veterinarian space can use the cutting edge technology, the validation can be used to speed-up the application also in the human space.
10-Year Vision of testblu diagnostics (2035)
testblu’s vision is to become the leading AI-powered precision diagnostics platform in veterinary medicine—and a proven bridge between animal and human health.
1. From Veterinary Screening to One Health Impact
By 2035, testblu will not only define early cancer screening as a standard of care for dogs, but also serve as a validated translational platform for human oncology and diagnostics. Because dogs develop cancer naturally, faster, and with strong biological similarities to humans, our large-scale real-world datasets will enable:
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Translational insights for human liquid biopsy research
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Cross-species biomarker discovery
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Strategic collaborations with human diagnostics, pharma, and research institutions
testblu will operate at the intersection of veterinary diagnostics and human health (“One Health”).
2. From Cancer Detection to Multi-Disease Precision Diagnostics
We will evolve from a multi-cancer screening company into a broad disease-agnostic diagnostics platform, scaling our AI and liquid biopsy infrastructure to:
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Oncology (30+ cancers)
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Inflammatory and immune-mediated diseases
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Metabolic and age-related disorders
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Therapy response and disease monitoring
Our platform architecture is designed to reuse data, workflows, and AI models across disease domains, enabling efficient expansion with strong margins.
3. Multi-Species Expansion at Global Scale
Starting with dogs, testblu will systematically scale to:
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Cats (first expansion)
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Additional companion animals
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Selected livestock and research-relevant species, where clinically and economically justified
This positions testblu as a species-agnostic diagnostics platform, not a single-product company.
4. Global Standard of Care in Preventive Veterinary Medicine
By 2035, testblu aims to make blood-based preventive screening a routine annual check-up, embedded into veterinary workflows worldwide through:
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Veterinary clinic networks
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Diagnostic distributors
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Pet insurance integrations
Our tests will be trusted clinical decision tools, not experimental add-ons.
5. Data, AI, and Long-Term Value Creation
Through continuous data generation across diseases and species, testblu will build one of the largest proprietary cfDNA and clinical outcome datasets in veterinary medicine, creating:
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A defensible AI moat
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Increasing diagnostic accuracy over time
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Long-term strategic value for M&A, licensing, and human-health partnerships
The Long-Term Impact
By 2035, testblu will:
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Extend healthy life expectancy for millions of animals
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Reduce emotional and financial burden for pet owners
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Enable earlier, more precise veterinary interventions
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Contribute meaningfully to human cancer research and diagnostics through translational data
In essence: testblu’s 10-year vision is to transform veterinary diagnostics into a proactive, AI-driven, multi-disease, multi-species platform—and to translate those insights into human health.
If you want, I can now:
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Compress this into a 1-paragraph “vision slide”
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Create a short investor soundbite
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Adapt it specifically for EU grants, VCs, or pharma partnerships
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