Author

M. Mohammad

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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Pathology· 1 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell signaling & trafficking· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:imaging· 1 Research Focus:metabolism & bioenergetics· 1 Assay:metabolomics· 1

Frequent Co-Authors

A. Csiszar· 1 shared A. Yabluchanskiy· 1 shared B. D. Robinson· 1 shared B. Plakkot· 1 shared D. C. Salles· 1 shared D. Natarajan· 1 shared E. M. Schaeffer· 1 shared K. Tiwari· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperPharmacology & Toxicology

A. Csiszar

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

The metabolic benefits of thermogenic stimulation are preserved in aging

D. Natarajan, B. Plakkot, K. Tiwari, S. Ekambaram, W. Wang, M. Rudolph, M. Mohammad, S. Chacko, M. Subramanian, S. Tarantini, A. Yabluchanskiy, Z. Ungvari, A. Csiszar, P. Balasubramanian

This study shows that chronic beta3-AR stimulation improves metabolic function in aged mice by enhancing thermogenesis in brown adipose tissue and lipid turnover in white adipose tissue.

bioRxiv · Jul 1, 2024 · PreprintPharmacology & Toxicology

Using Attention-based Deep Learning to Predict ERG:TMPRSS2 Fusion Status in Prostate Cancer from Whole Slide Images

M. Omar, Z. Xu, S. B. Rand, M. Mohammad, D. C. Salles, E. M. Schaeffer, B. D. Robinson, T. L. Lotan, M. Loda, L. Marchionni

This paper develops a deep learning model to predict ERG:TMPRSS2 fusion status in prostate cancer from whole slide images and identifies associated morphological features.

bioRxiv · Nov 18, 2022 · PreprintPathology