Methods for identifying biomedical translation: a systematic review

  1. Javier Padilla-Cabello 67
  2. Antonio Santisteban-Espejo 24
  3. Ruben Heradio 5
  4. Manuel J Cobo 1
  5. Miguel A Martin-Piedra 8
  6. Jose A Moral-Munoz 23
  1. 1 Department of Computer Science and Engineering, University of Cadiz, Puerto Real, Spain
  2. 2 Institute of Research and Innovation in Biomedical Sciences of The Province of Cadiz (INiBICA), Cadiz, Spain
  3. 3 Department of Nursing and Physiotherapy, University of Cadiz, Cadiz, Spain
  4. 4 Department of Pathology, Puerta del Mar University Hospital, Cadiz, Spain
  5. 5 School of Computer Science, Universidad Nacional de Educación a Distancia (UNED), Madrid, Spain
  6. 6 Program of Biomedicine, University of Granada, Granada, Spain
  7. 7 Department of Otorhinolaryngology, Hospital Universitario Clínico San Cecilio, Granada, Spain
  8. 8 Tissue Engineering Group, Department of Histology, University of Granada, Granada, Spain
Mostrar afiliaciones +
Revista:
American Journal of Translational Research

Año de publicación: 2022

Volumen: 14

Número: 4

Páginas: 2697

Tipo: Artículo

GOOGLE SCHOLAR lock_openAcceso abierto editor