Author

Mahdi Akhavan

University of Manitoba

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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Cancer Biology· 2

Signature Assays, Organisms & Methods

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Research Focus:cell-cell communication· 2 Organism:human· 2 Approach:machine learning (classical)· 2 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Amir Barzegar BehrooziD· 2 shared Prashen ChelikaniiD· 2 shared Robert J. SchrothiD· 2 shared Rui Miguel Pinheiro VitorinoiD· 2 shared Saeid GhavamiiD· 2 shared Sanaz Vakili· 2 shared Anil Menon· 1 shared Cassandra Yuan· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 42 mutual co-author links

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2 shared papersCancer Biology

Amir Barzegar BehroozORCID

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2 papers

Recent·Most cited

Exploratory Network Analysis of Oral Bacteria Taste Signaling Autophagy Crosstalk in Oral Squamous Cell Carcinoma and Multi-Target Ligand Design for the MAPK1 STAT3 mTOR Axis

Mahdi Akhavan, Saeid GAH Latifi-Navid, Amir Barzegar Behrooz, Sanaz Vakili, Rui Miguel Pinheiro Vitorino, Sajjad Aftabi, Sujatha Peela, SPD Ponamgi, Robert J. Schroth, Manuel Berumen, Cassandra Yuan, Tayebeh Akbari Azirani, Stevan Pecic, Prashen Chelikani, Saeid Ghavami

The paper integrates systems biology and machine learning to analyze bacterial signaling networks in OSCC, identifies key nodes, and designs multi-target ligands for the MAPK1-STAT3-mTOR axis.

bioRxiv · Jul 31, 2026 · PreprintCancer Biology

Hierarchical Machine Learning Uncovers Topological Signatures of Autophagy Regulation by Oral Bacteria in Oral Squamous Cell Carcinoma

Hamid Latifi‐Navid, Mahdi Akhavan, Pooya Jalali, Amir Barzegar Behrooz, Sanaz Vakili, Rui Miguel Pinheiro Vitorino, Iman Beheshti, Anil Menon, Vimi Sunil Mutalik, Robert J. Schroth, Prashen Chelikani, Saeid Ghavami

The paper uses hierarchical machine learning to identify topological differences in autophagy networks between pathogenic and commensal oral bacteria in OSCC.

bioRxiv · Dec 29, 2025 · PreprintCancer Biology