Cancilico is a Dresden-based health-tech startup founded in 2023, specializing in AI-driven diagnostic solutions for hematology. Their flagship product, MyeloAID, is designed to automate the classification and counting of cells in bone marrow samples, significantly enhancing the accuracy and efficiency of diagnosing hematological cancers. By integrating advanced artificial intelligence, Cancilico aims to revolutionize image-based diagnostics, providing faster and more reliable results to aid clinicians in making timely and informed decisions, thereby improving patient care and outcomes.
Key Features and Functionality:
- Automated Cell Classification: MyeloAID utilizes sophisticated AI algorithms to rapidly and accurately analyze bone marrow samples, creating detailed myelograms within minutes.
- Seamless Integration: The software is designed to work with standard microscopes, slide scanners, and digital platforms, ensuring easy adoption without the need for extensive infrastructure changes.
- Custom AI Development: Cancilico offers tailored AI solutions for pharmaceutical companies, including algorithms for predicting therapeutic drug success and identifying disease mutations and subtypes.
- AI-Assisted Diagnostic Research: The company collaborates with academic institutions and medical research centers to explore new applications of AI in diagnostic research, particularly in blood disorders and various cancer types.
- Data Annotation and Model Development: Cancilico provides a proprietary platform supporting interactive annotation of medical image data, efficient AI model development, and comprehensive management of models and training data.
Primary Value and User Solutions:
Cancilico addresses the critical need for more efficient and accurate diagnostics in hematology. By automating the labor-intensive process of bone marrow analysis, MyeloAID reduces the time and effort required for cell differentiation, allowing hematologists to focus more on patient care and treatment planning. For laboratory directors, the software streamlines operations and reduces operational costs, while enhancing the lab's reputation for quality diagnostics. Medical technical assistants benefit from a user-friendly tool that simplifies workflow, enabling the processing of a larger number of samples with higher accuracy. Additionally, pharmaceutical companies can achieve robust endpoints for clinical trials through fast, reproducible analysis, ultimately leading to improved patient outcomes.
