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Patient stratification is a fundamental aspect of personalized medicine, where patients are grouped based on their individual characteristics. Anaxomics’ TPMS technology allows the biomolecular characterization of treatments and patients by groups, providing valuable insights for disease classification, prognostic assessment, treatment selection, monitoring treatment response, clinical trial design, and guiding long-term patient management.

What does Anaxomics offer

Unraveling Mechanisms of Action

The analysis of a population by subgroups of individuals is extremely complex due to the enormous variability between patients and the limited ability of statistical approaches to deal with analytical variables. Anaxomics' TPMS faces the challenge of limited data sets and complements conventional statistical analysis through individually modelling the patients and then segmenting them according to qualitative or quantitative characteristics identifying mechanisms of action of a specific subgroup.

Harnessing the Power of Data Science for Biomarkers Identification

Anaxomics’ strength lies in its ability to identify biomarkers, critical indicators of disease and treatment response, despite common data limitations, such as population variability and small samples sizes. Anaxomics’ data science strategies enable unveiling complex biomarker signatures by harnessing advanced algorithms and statistical methods, and analyzing diverse data types (molecular, clinical, or both).

A Data Science and Mathematical Modeling Approach

Anaxomics' TPMS technology joins the power of systems biology and machine learning-based mathematical models by simulating the biological process of interest while incorporating statistical and data mining analysis to identify biomarkers and stratify patients effectively. By segmenting patients based on their unique molecular profiles, Anaxomics provides mechanistic rationales for clinical characteristics associated with specific subgroups: i) acquiring the disease vs healthy status, ii) different pathophysiological situations, iii) the response mechanism of the drug under study.



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