65: Biomechanics in Healthcare sectors: using specific artificial intelligence models

Arti­fi­cial intel­li­gence (AI) has become indis­pens­able in many fields, not least health­care. At the Bio­me­chan­ics and Bio­engi­neer­ing Lab­o­ra­to­ry (UTCCNRS- BMBI) — UMR CNRS 7338 -, teams are work­ing on issues such as improv­ing the diag­no­sis and treat­ment of bile ducts ail­ments, pre­vent­ing mus­cle age­ing and facial reha­bil­i­ta­tion in the event of trans­plants or paral­y­sis. AI tools are used to devel­op “dig­i­tal twins”, notably for the devel­op­ment of micro­cap­sules for tar­get­ed ther­a­pies or for the pre­dic­tion of pre­ma­ture baby deliv­er­ies. Depend­ing on the project, the patient spe­cif­ic mod­els devel­oped by the teams help prac­ti­tion­ers to diag­nose, mon­i­tor or treat, and ulti­mate­ly improve patient care.

AI tools dif­fer­en­ti­at­ed by spe­cif­ic applications
Tools to pre­vent cer­tain med­ical risks
Risks relat­ed to pre­ma­ture child-birth and to catch­ing infec­tious diseases
Pre­dict­ing and slow­ing down mus­cu­lar ageing
“Dig­i­tal twins” for microcapsules
Patient-spe­cif­ic mod­els cou­pled with AI for facial reconstruction
Improv­ing the diag­no­sis and treat­ment of bil­iary diseases
Pre­vent­ing falls through deep gen­er­a­tive learning

Le magazine

Avril 2025 - N°65

Biomécanique pour la santé : des modèles d’intelligence artificielle spécifiques

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