/ H.1
Medical Imaging Analysis
Automated detection and segmentation for radiology, pathology, and dermatology — trained on domain-specific datasets with clinical validation.
// Details
- X-ray, CT, MRI, ultrasound analysis
- Tumor detection and segmentation
- Pathology slide analysis (WSI)
- DICOM pipeline integration
// Output formats
DICOMNIfTISVSHL7 FHIR
/ H.2
Clinical Decision Support
Risk prediction models, treatment recommendation engines, and patient triage systems integrated into EHR workflows.
// Details
- Sepsis and deterioration early warning
- Treatment response prediction
- Patient risk stratification
- EHR data extraction (NLP)
// Output formats
HL7 FHIRJSONREST API
/ H.3
Drug Discovery & Development
Molecular property prediction, protein structure analysis, and clinical trial optimization using ML.
// Details
- Molecular property prediction (ADMET)
- Protein-ligand binding affinity
- Clinical trial patient matching
- Adverse event prediction
// Output formats
SDFPDBSMILESJSON
/ H.4
Genomics & Precision Medicine
Variant calling, gene expression analysis, and personalized treatment recommendations from genomic data.
// Details
- Variant calling and annotation
- Gene expression analysis (RNA-seq)
- Polygenic risk scores
- Pharmacogenomics recommendations
// Output formats
VCFBAMFASTQBED