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Ground Truth Labs
AI biomarker company
- 1-20 employees
- Healthcare
- B2B
- Artificial Intelligence
- Computer Vision
- Machine Learning
- City Centre, Oxford, UK
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Company mission
To improve outcomes for every cancer patient with AI driven insights and digital pathology.
Our take
Current methods fail to capture the wealth of information within tissue morphology. Seizing this opportunity, Ground Truth Labs aims to unlock invaluable insights from tissue and multi-modal data.
The company originally emerged from the University of Oxford. Since then, Ground Truth Labs has developed a platform that enables collaboration with biotech and pharmaceutical partners, enabling them to delve deeper into therapy development.
Recently, the startup made a significant stride in its journey by announcing the successful closure of a funding round, led by Oxford Science Enterprises. This investment positions the company at the forefront of AI biomarkers and its well set to change the way the health ecosystem approaches data analysis and decision-making.
Steph
Company Specialist at Welcome to the Jungle
Benefits
- Primarily remote working
- Regular team days from our base in Oxford or London
- Co-working stipend
- Home office equipment
- 25 days holiday + bank and national holidays
Company values
- Patients first
- Move with focus
- Communicate openly
- Deliver exceptional results
Funding (1 round)
Jan 2023
$4.3m
SEED
Total funding: $4.3m
Leadership
Alan Aberdeen
(Co-Founder & CEO)Beyond building GTL he has long track record in building software and tools, including widely used open-source pathology annotation software. Alan studied Engineering at Oxford and HCI in Paris/Berlin
Korsuk Sirinukunwattana
(Co-Founder)Korsuk is a leading AI and computational pathology technologist with a long list of publications from his industry-leading work at GTL as well as research completed at Oxford, Harvard, and Stanford.
Jens Rittscher
(Co-Founder)Jens leads the Quantitative Biological Imaging group at the University of Oxford. Jens has a wealth of industry experience having led research groups focused on computer vision at General Electric.
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