The startup has developed a digital pathology platform that enables the storage, annotation, and analysis of whole slide images, facilitating computational analysis and medical history review. This platform enhances the speed and accuracy of pathology diagnoses by allowing unlimited patient records and external specialist consultations.
Funding
$550K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Pathology labs and specialists face challenges in managing the increasing volume of whole slide images (WSI) and associated patient data, leading to workflow inefficiencies and potential diagnostic inaccuracies. Existing systems often lack seamless integration with electronic health records (EHRs) and other laboratory information management systems (LIMS), hindering data exchange and collaboration. Furthermore, the absence of robust AI-powered tools can limit the ability to detect subtle disease patterns and abnormalities in tissue samples.
Solution
AiBion offers a suite of AI-powered digital pathology solutions designed to streamline workflows, enhance diagnostic accuracy, and facilitate collaboration among pathologists, clinicians, and researchers. The HistoCloud digital pathology PACS provides a WSI viewer, EHR/EMR integration, and a workspace for individual practitioners and medical consiliums, enabling remote consultations and access to a comprehensive library of cases. The Genetic Research LIMS is a modular laboratory information management system that automates each step of biomaterial preprocessing, morphological assessment, and molecular genetic studies. AiBion also offers AI-based apps for digital pathology that automatically detect abnormalities and specific disease patterns in tissue samples, as well as a Medical AI Approbation Platform that validates AI solutions for image analysis.
Target Audience
AiBion's primary customers include pathologists, oncologists, molecular biologists, medical centers, and research institutions seeking to improve the accuracy and efficiency of pathology diagnoses and genetic research. The platform also targets MedTech startups and investors looking for reliable AI solutions in medical image analysis.
Features
- HistoCloud PACS:
- WSI viewer with advanced annotation tools
- Secure cloud storage for WSI, CT, MRI, and X-ray images
- Dedicated patient portal for data access
- Collegial analysis and board discussion capabilities
- Data encryption for secure data transmission and storage
- Genetic Research LIMS:
- Modular system with a scalable database
- Case status tracking and conclusion constructor
- HL7 FHIR-based for interoperability
- Public APIs for integration with external platforms (MIS/LIMS)
- Advanced analytics and management reporting
- AI-based Apps for Digital Pathology:
- Automated abnormality detection and disease pattern recognition
- AI-powered decision support for pathologists
- Quality control for digital pathology slides
- Medical AI Approbation Platform:
- Multi-service architecture for integration with third-party AI solutions
- Secure data routing and collection
- Repository of digital pathology slides for AI development