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Personalised Medicine AI

Combining genomic data, clinical history, lifestyle factors, and real-time measurements to generate treatment pathways designed for each patient's unique biology.

Precision Medicine Platform
3B+
Genomic Variants Analysed
92%
Treatment Match Accuracy
100x
Faster Than Manual

The End of One-Size-Fits-All Medicine

Personalised medicine recognises that every patient is biologically unique. MET-Ai integrates genomic sequencing, proteomics, microbiome analysis, lifestyle data, and real-time clinical measurements to build the most complete patient picture ever assembled.

From this picture, the platform generates treatment recommendations that are evidence-based for this specific patient, with this specific biology, at this specific moment.

  • Integration of whole-genome and targeted gene-panel analysis
  • Pharmacogenomic matching of medications to metabolic profile
  • Multi-omic data fusion across genome, proteome, and microbiome
  • Patient-specific modelling of treatment side effects and outcomes
Genomic and Multi-Omic Integration

Precision Oncology and Chronic Disease

In oncology, MET-Ai identifies the specific mutations driving each patient's cancer and matches them to targeted therapies with the highest probability of response, avoiding ineffective treatment and unnecessary toxicity.

For chronic disease, the platform generates personalised management plans based on genetic risk, lifestyle history, and each patient's response to treatment over time.

  • Tumour genomic profiling for precision oncology
  • Clinical-trial matching based on tumour mutation signature
  • Pharmacogenomic dosing for anticoagulant and chemotherapy regimens
  • Polygenic risk scoring for preventive cardiology and diabetes
Precision Oncology Engine

Applications in Clinical Practice

Precision Oncology

Matching of each tumour's mutations to the most effective targeted therapy.

Drug Personalisation

Selection and dosing of medication based on individual genetic profile.

Rare Disease Diagnosis

Identification of rare genetic disorders through phenotype-genotype correlation.

Cardiovascular Risk

Personalised ten-year cardiovascular risk from genomic and lifestyle data.

Antimicrobial Stewardship

Antibiotic selection based on pathogen genome and patient tolerance.

Family Screening

Identification of hereditary risk across a family from a single analysis.

Deliver Truly Personalised Care

Implement MET-Ai Personalised Medicine AI and give each patient the treatment designed for them.

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