Alaa S. Tulbah
Affiliation: Umm Al-Qura University
Institution: Umm Al-Qura University
ORCID: 0000-0001-9991-7801
External IDs: Scopus Author ID: 56182231200 | ResearcherID: CCB-7044-2022
Email: lolo.s.t@hotmail.com
Works: 35, Cited by: 112, H-index: 8
Assistant Professor at Umm Al-Qura University, specializing in Artificial Intelligence and Machine Learning.
Education
- PhD, Umm Al-Qura University (2009-2013)
Research Interests
Keywords:
Computer Science Artificial Intelligence Machine Learning
Topics:
Computer Science Artificial Intelligence Machine Learning
Professional Links
Selected Publications
Effective psoriasis treatment candidate
Hazari SA, Sheikh A, Abourehab MAS, Tulbah AS, Kesharwani P. Self-assembled Gallic acid loaded lecithin-chitosan hybrid nanostructured gel as a potential tool against imiquimod-induced psoriasis. Environ Res. 2023;234:116562. doi:10.1016/j.envres.2023.116562
Related Products
Products associated with this researcher's work:
