AI Tools in Hematology

Full-Field digital morphology platform digitizing slides at 100X resolution. Uses AI for pre-classification and remote analysis of blood cells.

Leading system in automated digital morphology. Classifies leukocytes, analyzes RBCs and platelets, integrating with LIS to optimize lab workflow.

Tool developed at Stanford for pathologists. Facilitates collaboration and analysis of histopathological images with AI support for pattern detection.

Automated screening tool for peripheral blood smear analysis, detecting morphological anomalies in leukocytes and RBCs.

Deep learning algorithm for early detection of blasts in suspected acute leukemia cases, focused on rapid screening in ER.

Physiologically-based pharmacokinetic (PBPK) modeling software. Essential for dose personalization in hemophilia and oncology.

Advanced risk calculator for thromboembolic events in cancer patients, integrating biomarkers and clinical data.

Open-source neural network trained specifically for blood cell classification. Ideal for researchers developing their own models.