Yonatan Savir

Longitudinal treatment selection under irreversible discontinuation: History-aware prediction and trajectory-aware learning in peanut-allergy prevention

This paper introduces TreatNet, a framework for longitudinal treatment selection under irreversible discontinuation, showing improved accuracy in peanut-allergy prevention decisions.

Machine Learning Reveals The Effect of Maternal Age on The Mouse Pre-Implantation Embryo Developmental Timing

The paper uses machine learning to analyze embryo developmental timing and shows that maternally aged embryos lose temporal regulation, impacting viability.

Decoupling transcription factor expression and activity enables dimmer-switch gene regulation

The paper identifies a dimmer-switch gene regulation mechanism in yeast by decoupling transcription factor expression and activity.

How to design an optimal sensor network for the unfolded protein response

The paper develops a model of the unfolded protein response in yeast and uses optimization to show chaperone-mediated sensors are more efficient than direct unfolded protein sensors.

Natural Variation in Preparation for Nutrient Depletion Reveals a Cost-Benefit Tradeoff

The paper shows that yeast strains prepare for nutrient depletion by inducing metabolism genes before glucose exhaustion, revealing a cost-benefit tradeoff in growth strategies.