Variant Classification Algorithm

Machine learning algorithm for identifying and stratifying high-risk vascular disease patients. Supports resource allocation and targeted preventive intervention strategies.

An online platform that enables pathologists and researchers to perform automated sample annotation, visualize pathology algorithm training, and generate AI models. It completes real-time analysis of case data and outputs results for research and clinical applications.

AI-based computational tool for assessing patient risk of adverse cardiac events. Integrates multiple clinical, imaging, and laboratory parameters to generate personalized risk scores. Supports evidence-based decision-making for patient management and treatment planning.

Software algorithm for automated identification and classification of microarray spot patterns. Supports quality control and reliability assurance in microarray manufacturing processes.

AI algorithm-based image processing system for medical diagnostics and analysis. Processes medical imaging data with machine learning capabilities for automated detection and medical decision support.

Artificial intelligence algorithm for automated detection and pre-classification of white blood cells into 14 distinct categories. Supports efficient and comprehensive sample analysis for hematopathology laboratories.

An artificial intelligence-based diagnostic platform for pathology interpretation across multiple specimen types. The system provides automated analysis to assist pathologists in identifying diagnostic features and supporting diagnostic decision-making.

A bioinformatics software platform designed for analyzing genetic variants and genomic data. This solution supports laboratory and healthcare institutions in processing and interpreting sequencing results.

AI-powered pathology analysis system designed to assist in the detection and diagnosis of pathological images. The platform leverages deep learning algorithms to analyze histopathology slides, enhancing diagnostic accuracy and efficiency in clinical laboratory settings.

Artificial intelligence platform for supporting pathology diagnosis from digital slides. Provides automated image analysis and diagnostic recommendations to improve accuracy and efficiency.

AI-assisted software for tumor classification and grading based on diagnostic findings from multiple methodologies. The system supports standardized reporting and prognostic assessment.

Artificial intelligence software module integrated into the digital pathology platform to support diagnostic analysis and specimen classification. Provides automated assistance in image interpretation and classification of pathological findings.