The MK&M Big Data Science Institute, established in collaboration with Mr. Morris Kahn, harnesses technological ingenuity to advance precision medicine.
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We specialize in providing high quality and expedited clinical trials, thanks to our ability to optimize the participant recruitment process.
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This Department uses the Maccabi database to derive an enhanced understanding of the causes, incidence and frequency of disease – leading to groundbreaking medical accomplishments.
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Aiming towards better personalized medicine, this regulatory-compliant and privacy-protecting repository of biological will enable the execution of a wide range of studies.
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Featured Projects
A mobile app providing personalized health information and recommendations, with Kang health.
The app was developed using machine learning, Deep Learning, complex NLP models, time-series analysis and Big Data systems in order to analyze the vast medical records of Maccabi.
K interacts with the user, asking specific relevant questions regarding the user’s medical condition, and then comparing the data with information from actual medical records. As a result, the user receives a list of relevant diagnoses, medications prescribed and medical exams performed in similar.
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Identifying cardiovascular conditions by analyzing patients’ voices, with Beyond Verbal.
As part of the MK&M Big Data Science Institute, this research focuses on identifying vocal bio markers in chronic patients’ recordings and analyzing how they relate to their cardiovascular conditions.
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A New Platform The World Can Use
As more and more of medical research incorporates Big Data as one of its foundations, it became clear that there is a need for a better way for researchers all over the world to have an easy access to well analyzed medical data.The Research and Innovation Institute provides a user-friendly platform which enables researchers from around the world an easy access to Maccabi’s comprehensive medical databank, along with specifically developed tools that offer them the option to choose, gather and analyze the data required for their specific research.
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