Deciphex utilizes digital pathology and artificial intelligence to enhance the efficiency and quality of pathology reporting, addressing the increasing demand for pathology services amid a declining number of pathologists. By optimizing workflows and triaging low-complexity samples, Deciphex enables pathologists to focus on more challenging cases, ultimately improving patient care and accelerating drug development.
Funding
$67.6M 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
The increasing demand for pathology services, coupled with a declining number of pathologists, creates a bottleneck in healthcare and drug development, impacting both patient care and the efficiency of bringing new drugs to market. Pathologists face increasing workloads and complexity, leading to potential delays and impacting the quality of reporting.
Solution
Deciphex addresses the pathology service delivery gap by digitally networking pathologists and leveraging artificial intelligence to enhance the efficiency and quality of pathology reporting. The company's solutions focus on optimizing pathologist productivity through ergonomic workflows integrated with AI. Deciphex emphasizes triaging high-volume, low-complexity samples, allowing pathologists to concentrate on more challenging cases. Their digital pathology platform, Patholytix, is designed for regulated research pathology, offering a GLP-compliant workflow with integrated AI screening capabilities, trusted by leading CROs and pharmaceutical companies for handling high-volume drug safety pathology studies.
Target Audience
Deciphex targets pathologists in clinical and research settings, Contract Research Organizations (CROs), and pharmaceutical companies involved in drug development and safety studies.
Features
- Digital pathology workflow and integrated AI platform for research pathology
- GLP-compliant workflow for high-volume drug safety pathology studies
- AI-powered triage of low-complexity samples to optimize pathologist time
- Ergonomic workflows designed to enhance pathologist productivity
- Proprietary annotated datasets for deep learning development and validation
- Specialization in Human Gastrointestinal and Toxicologic Pathology use cases
- Patholytix platform supports study archival of regulated digital safety studies