Haem.io
AI-powered diagnostic system for precise classification of haematologic disorders according to WHO 2022 and ICC 2022 guidelines, enabling more accurate treatment decisions.
Classification workflow
Full WorkflowMolecular Reports
Free text laboratory reports containing molecular genetic findings and mutations.
These reports include key genetic information such as FLT3-ITD, NPM1, CEBPA, TP53, IDH1/2, and other mutations critical for accurate haematological diagnosis and classification.
How Haem.io Works
Molecular Genetics
Analyze genetic mutations, cytogenetics, and molecular markers
AI Diagnosis
WHO 2022 & ICC 2022 compliant classification and risk stratification
Treatment Matching
Personalized treatment recommendations and clinical trial matching
Key Features
Comprehensive diagnostic tools designed for haematology specialists with advanced classification systems.
ICC/WHO Classifier
Accurately classify haematologic findings according to WHO 2022 criteria and ICC 2022 guidelines for precise diagnosis.
ELN Risk Stratification
Automate European LeukemiaNet (ELN) risk stratification for AML, providing crucial prognostic information for treatment planning.
IPSS Risk Stratifier
Calculate International Prognostic Scoring System (IPSS) scores for MDS patients, helping determine risk levels and guide treatment decisions.
Clinical Trial Matching
Our AI-powered system analyzes patient genetic profiles and clinical characteristics to identify relevant blood cancer clinical trials, ensuring patients have access to cutting-edge treatments.
Data Analysis
Extract genetic mutations, cytogenetic abnormalities, and molecular markers
AI Matching
Match patient profiles against trial eligibility criteria using advanced algorithms
Recommendations
Provide ranked list of relevant trials with detailed eligibility assessment
Key Matching Criteria
Genetic Mutations & Variants
FLT3-ITD, NPM1, CEBPA mutations • TP53, IDH1/2, ASXL1 variants • Fusion genes (PML-RARA, BCR-ABL)
Biomarkers & Immunophenotype
Flow cytometry markers • Immunophenotype profiles • Protein expression levels • Surface antigens
Clinical Parameters
Age, performance status • Prior treatment history • Comorbidities and contraindications • Disease stage