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About Us

Informatics Linking System Biology to Personalized Diagnosis and Therapy

CardiOmix approaches heart disease with new eyes.  Every cardiovascular system fails in its own way.  A unique nervous system response, established under particular metabolomic circumstances, governs the ion transport and muscle response of an individual electrophysiology.  Applying perceptive informatics to identify telling biomarkers, and establishing a multivariate approach to diagnosis and treatment, the company seeks to usher in a new era of personalized medicine

Parallel Lines

Our Story

CardiOmix S.r.l. began operations in 2019 with the aim of developing medical diagnostic products built on the research findings of Carlo Pappone, Professor of Cardiology and Director and Department of Arrhythmology and Electrophysiology of the Universit Vita-Salute San Raffaele and IRCCS Policlinico San Donato, Luigi Anastasia, Professor of Biochemistry, at Universit Vita-Salute San Raffaele, and Enrico Petretto, Professor of Systems Genetics and Deputy Director of the Centre and for Computational Biology, Duke-National University of Singapore Medical School.

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Building from their vigorous collaboration, these partners formed CardiOmix with the aim of deploying systems biology for a translational medical approach that draws from genetic, functional genomics, and clinical data to insightfully diagnose and treat serious and rare cardiovascular diseases.  

Meet The Team

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Ivana Lavota, Genomic and Molecular Biotechnologist

Ms. Lavota has moved from a GSD position at Policlinico San Donato to join Cardiomix as a full-time biotechnologist and genomic scientist.  She applies tissue decellularization and serum electrophoresis methodologies to extract samples for mass-spectrometric biomarker analysis .  She draws from genomics datasets to perform genome sequence analysis, and participates in designing experiments to derive value from single-cell sequencing.  She will collaborate with information scientists at Cardiomix and its academic partners to develop machine learning tools for biomarker based medical assessment.  Lavota holds a Master’s degree in genomic, molecular and industrial biotechnology from the University of Parma. 

Our Partners

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