TY - GEN
T1 - Multimodal Machine Learning for Drug Knowledge Discovery
AU - Shtar, Guy
N1 - Publisher Copyright:
© 2021 Owner/Author.
PY - 2021/8/3
Y1 - 2021/8/3
N2 - Multimodal machine learning deals with building models that can process information from multiple modalities (i.e., ways of doing or experiencing something). Experiments involving humans are used to guarantee drug safety in the complex task of drug development. Drug-related data is readily available and comes in various modalities. The proposed study aims to develop novel methods for multimodal machine learning that can be used to process the diverse multimodal data used in drug development and other challenging tasks that could benefit from the use of multimodal data. We present a series of drug-related tasks which are used to both evaluate the models proposed in this ongoing study and discover new drug knowledge. This research will make far-reaching contributions to the field of machine learning, as well as practical contributions in the medical domain.
AB - Multimodal machine learning deals with building models that can process information from multiple modalities (i.e., ways of doing or experiencing something). Experiments involving humans are used to guarantee drug safety in the complex task of drug development. Drug-related data is readily available and comes in various modalities. The proposed study aims to develop novel methods for multimodal machine learning that can be used to process the diverse multimodal data used in drug development and other challenging tasks that could benefit from the use of multimodal data. We present a series of drug-related tasks which are used to both evaluate the models proposed in this ongoing study and discover new drug knowledge. This research will make far-reaching contributions to the field of machine learning, as well as practical contributions in the medical domain.
KW - drug knowledge
KW - multimodal machine learning
UR - http://www.scopus.com/inward/record.url?scp=85103046952&partnerID=8YFLogxK
U2 - 10.1145/3437963.3441671
DO - 10.1145/3437963.3441671
M3 - Conference contribution
AN - SCOPUS:85103046952
T3 - WSDM 2021 - Proceedings of the 14th ACM International Conference on Web Search and Data Mining
SP - 1115
EP - 1116
BT - WSDM 2021 - Proceedings of the 14th ACM International Conference on Web Search and Data Mining
PB - Association for Computing Machinery, Inc
T2 - 14th ACM International Conference on Web Search and Data Mining, WSDM 2021
Y2 - 8 March 2021 through 12 March 2021
ER -