Author

Elham Parichehreh

Iran University of Science and Technology

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 1 Organism:human· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Ali Akbar KiaeiiD· 1 shared Alireza Khorramabadi· 1 shared Danial SafaeiiD· 1 shared Mahnaz BoushiD· 1 shared Masoud Mohammadi· 1 shared Nader SalariiD· 1 shared Sadegh AbadijouiD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperGenetic & Genomic Medicine

Ali Akbar KiaeiORCID

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1 paper

Recent·Most cited

Systematic review and network meta-analysis of drug combinations suggested by machine learning on genes and proteins, with the aim of improving the effectiveness of Ipilimumab in treating Melanoma.

Danial Safaei, Ali Akbar Kiaei, Mahnaz Boush, Sadegh Abadijou, Alireza Khorramabadi, Nader Salari, Masoud Mohammadi, Elham Parichehreh

This paper proposes a drug combination for Melanoma treatment using machine learning on genes and proteins, showing a 74-fold increase in effectiveness compared to single drugs.

medRxiv · May 13, 2023 · PreprintGenetic & Genomic Medicine