PARTNERS

Biostatistics

In 2018, Bio Logbook began its first collaboration with the company B2H and Liège teaching hospital under the EU programme Boost4Health (INTERREG). The collaboration involved the provision of a data set and academic expertise in biostatistics.

Bioinformatics

A three-year partnership is underway with Nantes Laboratory of Digital Sciences (LS2N), research unit 6004, as part of the doctoral thesis to be carried out by Bio Logbook’s data scientist Jakez Rolland. The thesis, whose topic is the “Validation and optimization of an innovative method of identification for early biological imbalances”, is being supervised by Damien Eveillard, a professor at the University of Nantes and researcher in bioinformatics at LS2N, and Benoît Delahaye, a lecturer at the University of Nantes. The aim is to enrich and publish the Bio Logbook solution.

Infectiology

A  collaboration is underway with Liège teaching hospital in relation to COVID19. The aim is to detect the most at-risk patients at an early stage as opposed to patients whose condition is likely to stabilize. This involves the development of a special diagnosis orientation algorithm based on the analysis of personalized biological imbalances or ‘drift’. The goals are to prevent the unfavourable evolution of the disease, enable better care for high-risk patients and lighten the load on hospital intensive care units.

Immunology

A research protocol was launched in early 2020 with Professor Jacques-Olivier Pers, the Director of Inserm’s LBAI “B cell and Immunology” laboratory (research unit 1227) in connection with Brest teaching hospital and UBO. The aim is to confirm the potential of Bio Logbook for the re-characterization of certain autoimmune diseases including Sjögren’s syndrome, lupus erythematosus and rheumatoid polyarthritis, and to establish diagnosis support algorithms.

Oncology

A partnership contract is currently being finalized with a cancer research institute. The aim is to assess immunotherapy responders versus non-responders and to study the toxicity of immunotherapy based on drifting biological parameters. Immunotherapy is known to cause significant organ inflammation. The resulting damage may be monitored by analysing biological drift, as enabled by Bio Logbook.