Author

M. Kohandel

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· 3 Bioengineering· 1 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 3 Research Focus:drug response / drug discovery· 3 Organism:human· 3 Approach:statistical model· 3 Research Focus:cell type annotation· 2 Assay:bulk RNA-seq· 1 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1

Frequent Co-Authors

M. Przedborski· 2 shared A. B. Dalan· 1 shared A. Goldman· 1 shared A. Yaromina· 1 shared B. Eastman· 1 shared C. Meaney· 1 shared D. Mohammadizadeh· 1 shared D. Sharon· 1 shared

Activity by Year

2020-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 7 mutual co-author links

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2 shared papersCancer Biology

M. Przedborski

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Author profile →

5 papers

Recent·Most cited

Controlled tumor heterogeneity in a co-culture system by 3D bio-printed tumor-on-chip model

N. Moghimi, S. A. Hosseini, A. B. Dalan, D. Mohammadizadeh, A. Goldman, M. Kohandel

This paper develops a 3D bioprinted tumor-on-chip model to study tumor heterogeneity and cell migration in breast cancer.

bioRxiv · May 2, 2023Bioengineering

Deep Learning Characterization of Brain Tumours With Diffusion Weighted Imaging

C. Meaney, S. Das, E. Colak, M. Kohandel

This paper develops a deep learning model to estimate GBM tumour parameters and predict progression using MRI data.

bioRxiv · Jan 25, 2022Cancer Biology

Reinforcement learning derived chemotherapeutic schedules for robust patient-specific therapy

B. Eastman, M. Przedborski, M. Kohandel

This study uses reinforcement learning to create more robust chemotherapy schedules that outperform classical methods, even when using the same bone marrow measurements.

bioRxiv · Apr 23, 2021Cancer Biology

A mean-field approach for modeling the propagation of perturbations in biochemical reaction networks

M. Przedborski, D. Sharon, S. Chan, M. Kohandel

The paper develops a mean-field model to predict the temporal behavior of protein expression in response to perturbations in biochemical networks, validated against RNA sequencing data.

bioRxiv · Jan 26, 2021Pharmacology & Toxicology

Combining Hypoxia-Activated Prodrugs and Radiotherapy in silico: Impact of Treatment Scheduling and the Intra-Tumoural Oxygen Landscape

S. J. Hamis, M. Kohandel, L. J. Dubois, A. Yaromina, P. Lambin, G. G. Powathil

This paper uses in silico models to show how hypoxia-activated prodrugs and radiotherapy interact, with treatment outcomes depending on scheduling and tumour oxygen levels.

PLOS Computational Biology · Aug 3, 2020Peer-reviewedCancer Biology