Author

Faiza Anas

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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Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Abraham NyskaiD· 1 shared Amir BeiniD· 1 shared Baran Koc· 1 shared Daniel DubinskyiD· 1 shared Isaac Bentwich· 1 shared Lior WolfiD· 1 shared Sarah Ya’ariiD· 1 shared Shahar HareliD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperPharmacology & Toxicology

Abraham NyskaORCID

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Author profile →

1 paper

Recent·Most cited

Non-Invasive Quantification of Viability in Spheroids Using Deep Learning

Daniel Dubinsky, Shahar Harel, Amir Bein, Abraham Nyska, Sarah Ya’ari, Baran Koc, Faiza Anas, Isaac Bentwich, Lior Wolf

This paper introduces NViR, a deep learning method for non-invasive viability quantification in spheroids, demonstrating its ability to predict drug-induced liver injury.

bioRxiv · Mar 9, 2025 · PreprintPharmacology & Toxicology