A revolutionary patented methodology

The study, entitled " A novel methodology for calculating optimized and personalized reference populations of biological parameters", presents a patented methodology developed by Bio Logbook for calculating optimized and personalized reference populations of biological parameters. This innovative methodology enables more accurate and relevant results to be obtained for patient diagnosis and follow-up, paving the way for more personalized, high-performance medicine.

Recognized scientific impact

The publication of this study in CCA Clinica Chimica Acta, a leading scientific journal in the field of clinical chemistry, testifies to the quality and scientific impact of Bio Logbook's work. This international recognition positions the company as a major player in the development of innovative solutions to improve patient care.

Tribute to contributors

Ronan Boutin, President and Founder of Bio Logbook, would like to express his deep gratitude to all the people and institutions who have contributed to this success:

INOVIE (Groupe), and in particular Dr Bruno Gauthier and Dr Pierre-Jean Lamy, for their invaluable contribution.

CHU de Liège: Pr. Philippe Kolh, Pr. Michel Moutschen; Dr. Nathalie Maes, Marie Thys_Marie

Prof. ALBERT Adelin for his invaluable support and patience.

Clément Bézier for his excellent editorial work and fine-tuning of the publication.

Jakez Rolland and Marie Codet for their proofreading and production of analyses and graphs.

A new milestone

The publication of this scientific study marks a new milestone for Bio Logbook. The company is determined to pursue its research and develop new innovative solutions to improve patient health.

"This publication is an important milestone for Bio Logbook," says Ronan Boutin. "It confirms the scientific value of our work and encourages us to continue our efforts to develop innovative solutions that contribute to improving patient care."

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.