Advanced blood disorder diagnosis with AI-powered analysis
Comprehensive blood disorder analysis and treatment optimization
SynThera transforms hematological practice through intelligent blood smear analysis, automated cell counting, and comprehensive coagulation assessment. Our AI provides precise diagnosis of blood disorders, from anemia evaluation to complex hematologic malignancies.
Blood cell analysis and morphology assessment
Advanced computer vision for precise identification and classification of blood cells, including rare variants and abnormal morphologies with clinical correlation.
AI-powered classification of acute and chronic leukemias using morphological features, immunophenotyping, and molecular markers for precise diagnosis.
Comprehensive anemia evaluation with automated RBC morphology analysis, iron studies interpretation, and differential diagnosis generation.
Automated bone marrow biopsy analysis with cellularity assessment, blast percentage calculation, and dysplastic changes detection.
Intelligent analysis of platelet disorders with morphology assessment, function testing integration, and bleeding risk stratification.
Real-time monitoring of treatment response in hematologic malignancies with automated reporting and prognostic indicator tracking.
Blood cell classification accuracy
Leukemia subtype accuracy
Reduction in review time
Bone marrow analysis agreement
A 25-year-old patient presents with fatigue and bruising. SynThera analyzes the peripheral blood smear, identifies 85% lymphoblasts with characteristic morphology, and suggests B-cell acute lymphoblastic leukemia with flow cytometry confirmation needed.
AI Insight:
"85% lymphoblasts with high N:C ratio, fine chromatin, and prominent nucleoli. Morphology consistent with B-ALL. Recommend flow cytometry and cytogenetics for risk stratification."
A 35-year-old woman with heavy menstrual bleeding shows microcytic anemia. SynThera analyzes RBC morphology, identifies hypochromic microcytes with target cells, and correlates with iron studies to confirm iron deficiency anemia.
AI Insight:
"Microcytic hypochromic anemia with target cells and pencil cells. Low ferritin (8 ng/mL) and high TIBC confirm iron deficiency. Recommend GI evaluation if no obvious bleeding source."
A 45-year-old patient develops thrombocytopenia after heparin exposure. SynThera analyzes platelet morphology, identifies normal-sized platelets with no clumping, and suggests heparin-induced thrombocytopenia with HIT antibody testing.
AI Insight:
"Platelet count drop >50% within 5-10 days of heparin exposure. Normal platelet morphology rules out pseudothrombocytopenia. High probability HIT - stop heparin and test HIT antibodies."
Integration with molecular testing for genetic mutations, chromosomal abnormalities, and personalized treatment selection.
AI-powered blood banking with compatibility testing, antibody identification, and transfusion reaction analysis.
Comprehensive coagulation analysis with bleeding risk assessment, thrombosis prediction, and anticoagulation optimization.
Specialized algorithms for pediatric blood disorders with age-specific reference ranges and developmental considerations.
Join leading hematologists who are using SynThera's AI to enhance diagnostic accuracy, streamline blood disorder evaluation, and optimize treatment decisions for better patient outcomes.