TY - JOUR
T1 - Opportunities and challenges for artificial intelligence in clinical cardiovascular genetics
AU - Krittanawong, Chayakrit
AU - Johnson, Kipp W.
AU - Glicksberg, Benjamin S.
N1 - Publisher Copyright:
© 2021 Elsevier Ltd
PY - 2021/9
Y1 - 2021/9
N2 - A combination of emerging genomic and artificial intelligence (AI) techniques may ultimately unlock a deeper understanding of heterogeneity and biological complexities in cardiovascular diseases (CVDs), leading to advances in prognostic guidance and personalized therapies. We discuss the state of AI in cardiovascular genetics, current applications, limitations, and future directions of the field.
AB - A combination of emerging genomic and artificial intelligence (AI) techniques may ultimately unlock a deeper understanding of heterogeneity and biological complexities in cardiovascular diseases (CVDs), leading to advances in prognostic guidance and personalized therapies. We discuss the state of AI in cardiovascular genetics, current applications, limitations, and future directions of the field.
UR - http://www.scopus.com/inward/record.url?scp=85111716760&partnerID=8YFLogxK
U2 - 10.1016/j.tig.2021.04.004
DO - 10.1016/j.tig.2021.04.004
M3 - Short survey
C2 - 33926743
AN - SCOPUS:85111716760
SN - 0168-9525
VL - 37
SP - 780
EP - 783
JO - Trends in Genetics
JF - Trends in Genetics
IS - 9
ER -