Advances in Machine Learning for Drug Repurposing: From Methodologies to Precision Medicine with Case Studies in COVID-19, Parkinson's Disease, and Cancer
- DOI
- 10.1109/jbhi.2026.3737030
- Published
- 2026
- Container
- IEEE Journal of Biomedical and Health Informatics
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1109/jbhi.2026.3737030,
title = {Advances in Machine Learning for Drug Repurposing: From Methodologies to Precision Medicine with Case Studies in COVID-19, Parkinson's Disease, and Cancer},
author = {Betel Gurara and Saron Gebremichael and Hana Sheto and Varsha Manikandan and Frank Martin and Bemnet Kinfe and Sumitra Miriyala and Gayathri Sadanala},
year = {2026},
journal = {IEEE Journal of Biomedical and Health Informatics},
doi = {10.1109/jbhi.2026.3737030},
url = {https://doi.org/10.1109/jbhi.2026.3737030}
}RIS
TY - JOUR TI - Advances in Machine Learning for Drug Repurposing: From Methodologies to Precision Medicine with Case Studies in COVID-19, Parkinson's Disease, and Cancer AU - Betel Gurara AU - Saron Gebremichael AU - Hana Sheto AU - Varsha Manikandan AU - Frank Martin AU - Bemnet Kinfe AU - Sumitra Miriyala AU - Gayathri Sadanala PY - 2026 JO - IEEE Journal of Biomedical and Health Informatics DO - 10.1109/jbhi.2026.3737030 UR - https://doi.org/10.1109/jbhi.2026.3737030 ER -
APA
Gurara, B., Gebremichael, S., Sheto, H., Manikandan, V., Martin, F., Kinfe, B., Miriyala, S., & Sadanala, G. (2026). Advances in Machine Learning for Drug Repurposing: From Methodologies to Precision Medicine with Case Studies in COVID-19, Parkinson's Disease, and Cancer. IEEE Journal of Biomedical and Health Informatics. https://doi.org/10.1109/jbhi.2026.3737030
Source records
- crossref · retrieved 2026-09-25T19:33:10.073Z