Page 53 - Rappaport Institute Magazine 2024

PHYSIOLOGY, BIOPHYSICS AND SYSTEMS BIOLOGY
50-51
Aging and Information Processing in Complex and Biological Systems
Despite the fact that aging is one of the most prominent biological processes, many fundamental questions regarding its role remain unanswered. We study how age affects the ability of systems from different scales of life, such as microorganisms, immune cells, and the mammalian embryo, to sense their environment and respond accordingly. To achieve this goal, we take an interdisciplinary approach and use tools from experimental biology, biophysics, and computational biology. We develop machine-learning approaches that allow inferring novel biological insights and creating medical decision-support systems. We particularly focus on graph networks that can cope with multiple data sources such as images, omics, and chemical structures.
Selected Publications
ˆ Ben-Yaakov T., Wasserman T., Aknin, E., & Savir Y. Aged mouse ovarian immune milieu shows a shift towards adaptive immunity and attenuated cell function (2023) elife
ˆ Daniel, N., Wasserman, T., Adler, Z., Czyzewski, T., & Savir, Y. Machine Learning Reveals The Effect of Maternal Age on The Mouse Pre-Implantation Embryo Developmental Timing (2023) 20th IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology
ˆ Hilau S., Katz S., Wasserman T., Hershberg R., Savir Y. Density-dependent effects are the main determinants of variation in growth dynamics between closely related bacterial strains (2022). PLoS Computational Biology
ˆ Strinkovsky L, Havkin E, Shalom-Feuerstein R, Savir Y The role of replication- removal spatial correlations and cellular replicative lifespan in corneal epithelium homeostasis (2020) elife
yoni.savir@technion.ac.il
Yoni Savir Lab
Yonatan (Yoni) Savir, PhD Associate Professor of Systems Biology
PhD, 2011 – Weizmann Institute of Science, Israel
The alteration in the ovarian immune milieu due to maternal age.