Limbix (by BigHealth)
Evidence-based digital therapeutics for adolescent mental health and behavioral activation.
Accelerating precision medicine and diagnostic accuracy through AI-powered digital pathology.
PathAI is a global leader in AI-powered pathology, bridging the gap between traditional microscopic analysis and data-driven precision medicine. Their core technical architecture, anchored by the AISight platform, utilizes advanced convolutional neural networks and vision transformers trained on millions of expert-annotated slide images. By 2026, PathAI has positioned itself as the central operating system for digital pathology labs, offering a cloud-native ecosystem that integrates whole-slide imaging (WSI) with sophisticated algorithmic quantification. The platform excels in identifying complex morphological patterns and quantifying biomarkers like PD-L1 and HER2 with a level of precision and reproducibility that surpasses manual human observation. Their business model is split between Biopharma services—assisting in clinical trial stratification and companion diagnostic (CDx) development—and PathAI Diagnostics, which provides CLIA-certified laboratory services. The 2026 market landscape sees PathAI as a critical infrastructure provider for global oncology research, leveraging massive datasets to reduce inter-observer variability and accelerate drug development timelines through automated tumor microenvironment (TME) mapping.
A cloud-native image management system designed to handle multi-terabyte datasets with zero-latency viewing of whole-slide images.
Evidence-based digital therapeutics for adolescent mental health and behavioral activation.
Predictive clinical and operational intelligence to fight death and waste in healthcare.
Predictive medical data and clinical insights for streamlined enterprise underwriting.
The professional medical network for clinicians, providing HIPAA-compliant AI and telehealth solutions.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Uses spatial transcriptomics-inspired AI to map the tumor microenvironment, identifying spatial relationships between immune cells and tumor cells.
Deep learning models that differentiate between tumor and immune cells to calculate Tumor Proportion Score (TPS).
Algorithms that automatically detect artifacts, blurriness, or tissue folding during the scanning process.
Computer vision models optimized for the detection of micrometastases or rare cell populations in lymph nodes.
Platform capability to integrate genomic data with morphological features for unified patient profiling.
Collaborative digital environment allowing multiple pathologists to adjudicate cases remotely.
Subjective manual scoring leads to incorrect patient enrollment in trials.
Registry Updated:2/7/2026
Sponsor receives structured data for regulatory submission.
High variability in mitosis counting among pathologists.
Manual review of thousands of archived slides is cost-prohibitive.