Cargando…
Artificial Intelligence (AI) in Rare Diseases: Is the Future Brighter?
The amount of data collected and managed in (bio)medicine is ever-increasing. Thus, there is a need to rapidly and efficiently collect, analyze, and characterize all this information. Artificial intelligence (AI), with an emphasis on deep learning, holds great promise in this area and is already bei...
Autores principales: | Brasil, Sandra, Pascoal, Carlota, Francisco, Rita, dos Reis Ferreira, Vanessa, A. Videira, Paula, Valadão, Gonçalo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6947640/ https://www.ncbi.nlm.nih.gov/pubmed/31783696 http://dx.doi.org/10.3390/genes10120978 |
Ejemplares similares
-
Artificial Intelligence in Epigenetic Studies: Shedding Light on Rare Diseases
por: Brasil, Sandra, et al.
Publicado: (2021) -
The road to successful people-centric research in rare diseases: the web-based case study of the Immunology and Congenital Disorders of Glycosylation questionnaire (ImmunoCDGQ)
por: Francisco, Rita, et al.
Publicado: (2022) -
Congenital disorders of glycosylation (CDG): state of the art in 2022
por: Francisco, Rita, et al.
Publicado: (2023) -
CDG Therapies: From Bench to Bedside
por: Brasil, Sandra, et al.
Publicado: (2018) -
Patient and observer reported outcome measures to evaluate health-related quality of life in inherited metabolic diseases: a scoping review
por: Pascoal, Carlota, et al.
Publicado: (2018)