Dr. Milana Frenkel-Morgenstern – ProtFus: A Comprehensive Method Characterizing Protein-Protein Interactions of Fusion Proteins

Dr. Milana Frenkel-Morgenstern

Abstract Tailored therapy aims to cure cancer patients effectively and safely, based on the complex interactions between patients’ genomic features, disease pathology and drug metabolism. Thus, the continual increase in scientific literature drives the need for efficient methods of data mining to improve the extraction of useful information from texts based on patients’ genomic features.…

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Prof. Ron Unger – Machine learning for prediction of 30-day mortality after ST elevation myocardial infraction An Acute Coronary Syndrome Israeli Survey data mining study

Abstract Background Risk scores for prediction of mortality 30-days following a ST-segment elevation myocardial infarction (STEMI) have been developed using a conventional statistical approach. Objective To evaluate an array of machine learning (ML) algorithms for prediction of mortality at 30-days in STEMI patients and to compare these to the conventional validated risk scores. Methods This was a…

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