
Genomics & Multi-Omics Intelligence
for the Next Generation of Personalised Health
Muhdo is combining years of genetic and multi-omics data expertise with artificial intelligence, training private clinical decision models that move health guidance from generic reports towards individualised, intelligent support.
From Genetic Testing to Intelligent Health Decisions
Muhdo's AI upgrade is not about bolting on a generic model. It is built on our own compliant data assets, forming a private intelligence engine that keeps improving.
Data Assets
Years of genetic and epigenetic testing have produced rich multi-omics data, de-identified and governed into trainable assets.
Intelligence Engine
Private clinical decision models are trained and validated in our own environment, keeping capability in-house and continuously iterated.
Health Decisions
Model outputs provide individualised health risk assessments and interpretations, supporting professionals and clients in understanding their data.
Three Core Capabilities
A complete AI stack spanning data, structure and decision-making.
Genomics & Multi-Omics Analysis
Integrating genomics, DNA methylation, transcriptomics, proteomics and metabolomics layers to mine individualised features.
- Multi-omics standardisation and integration
- Individualised feature mining and association analysis
- Feature atlases built for health interpretation
Protein Structure Prediction
Deep-learning-based 3D protein structure prediction and functional annotation, supporting target understanding and intervention research.
- 3D structure prediction with confidence scoring
- Functional site annotation and alignment
- Batch prediction support for research programmes
Private Clinical Decision Model Training
Training private models on our own compliant data to deliver individualised health risk assessments and guidance support.
- Private-environment training and deployment
- Clinical experts involved in validation
- Continuous iteration with version control
Private Clinical Decision Model Training
A complete, auditable training pipeline that grounds model capability in our own data and expert validation.
Multi-Source Data Collection & Governance
Multi-omics testing data enters the training pool after de-identification and compliant governance.
Multi-Omics Feature Engineering
Cross-omics feature alignment, standardisation and individualised feature atlas construction.
Model Training & Clinical Validation
Trained in our private environment, with clinical experts reviewing results and bias.
Private Deployment & Iteration
Models run in our own environment, iterated and monitored by version.
Technical Advantages & Differentiation
Proprietary Data Assets
Multi-omics data accumulated over years of testing forms a training foundation general-purpose models cannot access.
Privacy & Security
De-identification, pseudonymisation and access control run through the entire pipeline, in line with applicable privacy regulations.
In-House, Controllable Models
Training, validation and deployment all happen in our own environment, so capability improves as data accumulates.
Clinical Grounding
Medical and scientific experts take part in model validation; outputs are positioned as supportive reference, not diagnostic conclusions.
Application Scenarios

Upgraded Personalised Health Reports
AI-enhanced interpretation for our existing test products, bringing reports closer to each individual.

Intelligent Health Risk Assessment
Individualised risk insights for consumers, supporting personal health planning.

Research & Industry Collaboration
Multi-omics analysis and protein structure prediction support for healthcare and pharma partners.
Development Roadmap
Multi-Omics Data Platform Integration
Complete standardised governance of multi-omics data and build a unified feature platform.
First Private Clinical Decision Model Live
Finish the first training round and clinical expert validation, deployed in our own environment.
AI-Enhanced Health Reports Released
Connect model interpretation into the reporting system of existing test products.
Open Research Collaboration Ecosystem
Open multi-omics analysis and structure prediction collaboration to healthcare and industry partners.
Muhdo AI handles data in line with applicable privacy regulations. Model outputs are provided for health reference only and do not constitute a medical diagnosis. Partner and certification details are as officially published.
Step into the Intelligent Health Era with Muhdo
Learn about our AI strategy, or talk to us about research and industry collaboration.