Adi Berliner-Senderey received her PhD from the Technion, where her research focused on the development and application of computational techniques to provide personalized interventions, with the primary objective of enhancing patient adherence and improving overall outcomes. Berliner's broader research pursuits are dedicated to advancing the diagnosis and treatment of human diseases by leveraging high-dimensional observational data and integrating methodologies from diverse disciplines, including medicine, computational modeling, behavioral science, and statistics. Berliner serves as Director of the AI and Behavioral Insights Unit at the Clalit Research Institute, where she leads pioneering projects at the forefront of medical informatics aiming to optimize patient care and promote adherence to medical guidelines. These projects entail the integration of machine learning algorithms and behavioral science with a particular emphasis on their expeditious implementation in real-world healthcare settings. Berliner leverages her extensive expertise in bioinformatics, clinical informatics, longitudinal observational causal inference methods and behavioral science to advance scientific understanding and implementation of evidence-based practices in healthcare.
Isr Med Assoc J
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J Foot Ankle Surg
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J Cardiovasc Electrophysiol
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PLoS One
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Am J Cardiol
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JACC Clin Electrophysiol
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