Application of
Artificial Intelligence for the Prediction of Amyloidoses
Valentin Gonay, Michael P. Dunne*, Andrey V. Kajava*
CRBM UMR 5237 CNRS, Université Montpellier, Montpellier, France (Gonay V, Kajava AV)
PROTERA SAS, Paris, France (Gonay V, Dunne MP)
Online:2026-08-18
Published:2026-04-25
Contact:
Michael P. Dunne, PhD, mdunne@proterabio.com;
Andrey V. Kajava, PhD, andrey.kajava@crbm.cnrs.fr.
Supported by:
This work was supported in part by a CIFRE PhD fellowship through the “Association Nationale de la Recherche et de la Technologie” (ANRT) program, in collaboration between PROTERA and “Center National de la Recherche Scientifique” (CNRS) to VG, by EU COST Action ML4NGP CA21160 to VG and AVK, by the Fondation pour la Recherche Médicale (grant MND202310017898) to AVK and by the AFM-Téléthon (grant n° 28988) to AVK.
Valentin Gonay, Michael P. Dunne, Andrey V. Kajava. Application of
Artificial Intelligence for the Prediction of Amyloidoses[J]. Neural Regeneration Research, 2026, 21(8): 3523-3524.