First publication in the collaboration between Bio Logbook and the LS2N laboratory

Bio Logbook announces the publication of the first scientific article resulting from Jakez Rolland's CIFRE thesis, carried out in partnership with the Laboratoire des Sciences du Numérique de Nantes (LS2N).

This publication, in the prestigious journal Nature Portfolio - Scientific Report, marks a milestone in the field of data characterization and opens up promising new perspectives for healthcare.

Data characterization: a crucial issue for healthcare

Data analysis and interpretation are at the heart of many scientific fields, and healthcare is no exception. To fully exploit the potential of biological and medical data, it is essential to characterize them accurately and thoroughly. This is the background to Jakez Rolland's work.

Topology, geometry and multidimensional structure: an innovative approach

In his research paper, Jakez Rolland proposes an innovative approach to characterizing data based on its topology, geometry and multidimensional structure. This approach captures valuable information on the relationships and interactions between data, opening up new perspectives for the analysis and interpretation of biological and medical data.

Towards more personalized medicine and unrivalled predictive capabilities

The potential applications of this approach are numerous and promising. In particular, it could contribute to the development of more accurate diagnostic and prognostic models, the identification of relevant biomarkers for patient management, and the development of personalized therapies.

Thanks to the thesis supervisors

Bio Logbook would like to warmly thank Benoit Delahaye and Damien Eveillard, the supervisors of Jakez Rolland's thesis, for their invaluable support and essential contribution to this research work.