Healthcare
Clinical informatics, medical AI, patient data analytics, health outcomes research and biomedical NLP, supporting hospitals, clinical research organisations and health technology companies.
How 7DNA Supports Healthcare
Clinical Data Analytics
Analysis of structured clinical datasets, patient cohort characterisation, disease prevalence, treatment pattern analysis, statistical modelling of clinical endpoints and survival analysis for clinical research publications.
Data Analytics R&DHealth Outcomes Research
Retrospective and prospective outcomes analysis, real-world evidence (RWE), cost-effectiveness modelling, patient-reported outcome (PRO) analysis and quality-of-life data handling using appropriate statistical methods.
Data Analytics R&DPredictive Clinical Modelling
ML models for clinical outcome prediction, readmission risk, disease progression, complication risk, diagnostic support and patient stratification from structured EHR data with explainability via SHAP.
Biomedical AIBiomedical NLP
Extracting structured information from unstructured clinical text, clinical notes, discharge summaries, pathology reports and radiology findings using BioBERT and domain-adapted transformers.
Biomedical AIMedical Imaging AI
Deep learning models for medical image analysis, classification, segmentation and feature extraction from histopathology slides, radiology images (X-ray, CT, MRI) and whole-slide images.
Biomedical AIBiostatistics Support
Statistical analysis plan design and execution for clinical studies, sample size calculation, hypothesis testing, regression analysis, survival models and reporting in formats suitable for journal submission.
Data AnalyticsPrivacy-Aware, Clinically Grounded
Data Privacy First
We work with de-identified or aggregated data wherever possible. All data sharing follows appropriate agreements, and analyses are conducted in environments the client controls.
Clinically Interpretable
Results are presented in clinical terms. ML model outputs include interpretability analysis, not black-box predictions, but SHAP-explained results a clinician can interrogate.
Publication Support
We deliver analysis ready for peer-reviewed publication, appropriate methods for the study design, robust statistical approaches, figures formatted to journal requirements.
Working on clinical data or health outcomes research?
Tell us about your dataset, study design or clinical question, we'll scope an appropriate analytical approach.