Artificial intelligence (AI) in rare diseases: Is the future brighter?

Genes

Volumn 10, Issue 12, 2019, Pages

  Brasil, Sandra ^a,b   Pascoal, Carlota ^a,b   Francisco, Rita ^a,b   Ferreira, Vanessa Dos Reis ^a,b   Videira, Paula A ^a,b   Valadão, Gonçalo ^c,d,e  

^a Portuguese Association for Congenital Disorders of Glycosylation (CDG)   (Portugal)

^b UNIVERSIDADE NOVA DE LISBOA   (Portugal)

^c INSTITUTO DE TELECOMUNICAÇÕES   (Portugal)

^d UNIVERSIDADE AUTÓNOMA DE LISBOA   (Portugal)

^e INSTITUTO SUPERIOR DE ENGENHARIA DE LISBOA   (Portugal)

Author keywords

Artificial intelligence; Big data; Congenital disorders of glycosylation; Diagnosis; Drug repurposing; Machine learning; Personalized medicine; Rare diseases

Indexed keywords

BIOLOGICAL MARKER; GOLGI MATRIX;

ARTIFICIAL INTELLIGENCE; CHEMICAL FINGERPRINTING; CLINICAL FEATURE; CLINICAL TRIAL (TOPIC); CONGENITAL DISORDER OF GLYCOSYLATION; COPY NUMBER VARIATION; DIAGNOSTIC TEST; DISEASE CLASSIFICATION; DRUG REPOSITIONING; GENE LOSS; GENETIC ASSOCIATION; GENOTYPE PHENOTYPE CORRELATION; GLYCOSYLATION; GOLGI COMPLEX; HUMAN; IMAGING; MEDICAL RECORD; PREDICTION; PROGNOSIS; RARE DISEASE; REVIEW; SINGLE NUCLEOTIDE POLYMORPHISM; TERATOLOGY; WHOLE GENOME SEQUENCING; DRUG DEVELOPMENT; PERSONALIZED MEDICINE;

CLINICAL TRIALS AS TOPIC; DEEP LEARNING; DRUG DISCOVERY; HUMANS; PRECISION MEDICINE; RARE DISEASES;

EID: 85075672800     PISSN: None     EISSN: 20734425     Source Type: Journal    
DOI: 10.3390/genes10120978     Document Type: Review

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