Abstract: Disclosed are collection and analysis devices and systems for multiple types of physiological data that collect, manually mark, sampling physiological data for machine learning and AI analyses, all in a single operational background. Physiological data gathered/uploaded by sensing devices of different type and function, described in different formation, recorded at different times and/or pertaining to different patients are processed in one system, to discover and evaluate correlation between a type of physiological data and a certain physiological phenomenon.

Abstract: Disclosed are a multiple physiological data collection device and system that collect, manually mark, sampling—physiological data for machine learning and AI analyses in a single operation background. Physiological data uploaded by sensing devices of different type and function, described in different formation, recorded at different times and/or pertaining to different person can be processed in one system. The invented system comprises a data uploading device, a data storage device and a data edition device and, optionally, an automated data analysis device.

Abstract: A method for reducing the radio-resistance of prostate cancer cells in a subject in need thereof, comprising administering to the subject an effective amount of an active component, wherein the active component is a nanoparticle of a carrier encapsulated with cytolethal distending toxin subunit B (CdtB).

Abstract: A method for reducing the radio-resistance of prostate cancer cells in a subject in need thereof, comprising administering to the subject an effective amount of an active component, wherein the active component is a nanoparticle of a carrier encapsulated with cytolethal distending toxin subunit B (CdtB).