Whom does Microbiolance help, and how?
Analysis of correlations between cohort-based microbiome and clinical data profiles using AI methods:
- Functional Value:
- Introduction of a new disease model: Identification of microbiome markers through the analysis of correlations between cohort-based microbiome and clinical data profiles.
- Business Value:
- Supporting the development of new diagnostic and therapeutic opportunities.
- Potential Partners:
- Health research institutes
- Clinics - Entities involved in therapy research
- Pharmaceutical companies - R&D
Diagnostics and personalized therapy support based on biomarkers derived from correlations between clinical and microbiome profiles
- Functional Value:
- Analysis of correlations between clinical data profiles and microbiome patterns.
- Supporting disease diagnostics and therapy selection decisions.
- Therapy effectiveness analysis by tracking changes in observed gut flora patterns.
- Monitoring the microbiome profiles of patients with clinical histories.
- Comparing microbiome profiles with results in scientific databases using LLM-based AI analyses.
- Business Value:
- Significant improvement in diagnostics, therapy selection, and therapy effectiveness based on microbiome-clinical data correlation biomarkers.
- Reduced therapy costs due to shorter therapeutic pathways.
- Disease relapse prediction through monitoring clinical history and microbiome profiles.
- Reporting microbiome profile correlations with specific disease models according to current scientific publications.
- Potential Partners:
- Private and public healthcare providers, clinics.