AI for infectious disease modelling and therapeutics
| dc.contributor.author | Alterovitz, Gil | |
| dc.contributor.author | Alterovitz, Wei-Lun | |
| dc.contributor.author | Cassell, Gail H. | |
| dc.contributor.author | Zhang, Lixin | |
| dc.contributor.author | Dunker, A. Keith | |
| dc.contributor.department | Biochemistry and Molecular Biology, School of Medicine | en_US |
| dc.date.accessioned | 2021-01-15T20:20:22Z | |
| dc.date.available | 2021-01-15T20:20:22Z | |
| dc.date.issued | 2020-11 | |
| dc.description.abstract | AI for infectious disease modelling and therapeutics is an emerging area that leverages new computational approaches and data in this area. Genomics, proteomics, biomedical literature, social media, and other resources are proving to be critical tools to help understand and solve complicated issues ranging from understanding the process of infection, diagnosis and discovery of the precise molecular details, to developing possible interventions and safety profiling of possible treatments. | en_US |
| dc.eprint.version | Final published version | en_US |
| dc.identifier.citation | Alterovitz, G., Alterovitz, W. L., Cassell, G. H., Zhang, L., & Dunker, A. K. (2020). AI for infectious disease modelling and therapeutics, Biocomputing 2021. https://doi.org/10.1142/9789811232701_0009 | en_US |
| dc.identifier.uri | https://hdl.handle.net/1805/24873 | |
| dc.language.iso | en | en_US |
| dc.publisher | World Scientific | en_US |
| dc.relation.isversionof | 10.1142/9789811232701_0009 | en_US |
| dc.relation.journal | Biocomputing 2021 | en_US |
| dc.rights | Attribution-NonCommercial 4.0 International | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ | * |
| dc.source | Publisher | en_US |
| dc.subject | artificial intelligence | en_US |
| dc.subject | infectious disease | en_US |
| dc.subject | COVID-19 | en_US |
| dc.title | AI for infectious disease modelling and therapeutics | en_US |
| dc.type | Article | en_US |