Tanya Wasserman

According to our database, Tanya Wasserman authored at least 4 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2023

Symbiotic Message Passing Model for Transfer Learning between Anti-Fungal and Anti-Bacterial Domains.

Ronen Taub, Tanya Wasserman, Yonatan Savir

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2023

Machine Learning Reveals The Effect of Maternal Age on The Mouse Pre-Implantation Embryo Morphokinetics.

Nati Daniel, Tanya Wasserman, Zohar Adler, Tomer Czyzewski, Yonatan Savir

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2023

2022

Density-dependent effects are the main determinants of variation in growth dynamics between closely related bacterial strains.

Sabrin Hilau, Sophia Katz, Tanya Wasserman, Ruth Hershberg, Yonatan Savir

PLoS Comput. Biol., October, 2022

Harnessing Artificial Intelligence to Infer Novel Spatial Biomarkers for the Diagnosis of Eosinophilic Esophagitis.

Ariel Larey, Eliel Aknin, Nati Daniel, Garrett A. Osswald, Julie M. Caldwell, Mark Rochman, Tanya Wasserman, Margaret H. Collins, Nicoleta C. Arva, Guang-Yu Yang, Marc E. Rothenberg, Yonatan Savir

CoRR, 2022