Offre de thèse : Deep Aneurysm

Sujet : Easy Electrospinning

Laboratoire/équipe : UMR CNRS 7338 Bio­mé­canique et Bio­ingénierie / Équipe de recherche : Inter­ac­tions Flu­ides Struc­tures Biologiques (IFSB)

Mots clés : Abdom­i­nal aor­tic aneurysm; rup­ture; FSI; pul­satile blood flow; mod­el-order reduc­tion; AI

The idea behind our project is to mod­ern­ize and lever­age numer­i­cal AAA sim­u­la­tions with Arti­fi­cial Intel­li­gence (AI) to make their use eas­i­er in the med­ical com­mu­ni­ty and the pro­cure­ment of the bio­me­chan­i­cal patient-spe­cif­ic data pos­si­ble with­in less than one minute, which is a real chal­lenge. On the fun­da­men­tal sci­ence side, and as men­tioned above, our objec­tive is to inves­ti­gate state-of-the-art data-dri­ven iden­ti­fi­ca­tion algo­rithms for high-dimen­sion­al spa­tio-tem­po­ral prob­lems from pre­vi­ous high-fideli­ty sim­u­la­tions, pos­si­bly read­just­ed with patient data/measurements. We hope they will enable live visu­al­iza­tions of quan­ti­ties and
fields of inter­est (stress fields, risk assess­ment accord­ing to the evo­lu­tion) for deci­sion-mak­ing (sur­gi­cal deci­sion, sur­gi­cal procedure).