Author

Ibrahim Bilem

Quebec Statistical Institute

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

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Systems Biology· 1

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Research Focus:cell type annotation· 1 Organism:human· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Akiko Nakde· 1 shared Carla Basualto-AlarcóniD· 1 shared Felix Lavoie-Perusse· 1 shared Gregory P. WayiD· 1 shared Jenna TomkinsoniD· 1 shared Mahomi Suzuki· 1 shared Michael J. LippincottiD· 1 shared Simon MathieniD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

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9 top collaborators · 36 mutual co-author links

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1 shared paperSystems Biology

Akiko Nakde

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1 paper

Recent·Most cited

High-content live-cell time-lapse imaging predicts cells about to die via apoptosis

Michael J. Lippincott, Jenna Tomkinson, Ibrahim Bilem, Mahomi Suzuki, Akiko Nakde, Toshiaki Endou, Simon Mathien, Felix Lavoie-Perusse, Carla Basualto-Alarcón, Gregory P. Way

This paper uses high-content live-cell time-lapse imaging to predict apoptosis in HeLa cells using machine learning, detecting it 100 minutes after treatment with Staurosporine.

bioRxiv · Oct 23, 2025 · PreprintSystems Biology