Abstract: The present disclosure provides platforms, systems, media, and methods for capturing clinical cases and expert-derived treatment rationales to facilitate biomedical decision making, which can include virtual clinical trials that continuously learn from the experiences of all patients, on all treatments, and all the time. Algorithms such as Bayesian machine learning methods can be applied to coordinate such virtual trials.

Abstract: The present disclosure provides platforms, systems, media, and methods for capturing clinical cases and expert-derived treatment rationales to facilitate biomedical decision making, which can include virtual clinical trials that continuously learn from the experiences of all patients, on all treatments, and all the time. Algorithms such as Bayesian machine learning methods can be applied to coordinate such virtual trials.

Abstract: Provided herein are methods of using temocillin to control microbial dysbiosis arising from, in certain instances, enterobacteriacea overgrowth such as overgrowth from adherent invasive E. coli (AIEC). Methods of using temocillin to treat intestinal disorders and symptoms of such caused by microbial dysbiosis, as well as other disorders are contemplated herein.

Abstract: The present disclosure provides platforms, systems, media, and methods for capturing clinical cases and expert-derived treatment rationales to facilitate biomedical decision making, which can include virtual clinical trials that continuously learn from the experiences of all patients, on all treatments, and all the time. Algorithms such as Bayesian machine learning methods can be applied to coordinate such virtual trials.

Abstract: Various embodiments provide per group verification techniques in which code may be verified against one or more rules on a group by group basis. In one or more embodiments relationships between portions of a module to be verified can be defined. By being aware of relationships between various code portions, various embodiments can divide a module into related groups and perform verification on the basis of the groups. Multiple groups can be derived based at least in part upon the relationships. Each group can then be verified separately for compliance with one or more rules. Verification results can be output for each of the groups.

Abstract: Various embodiments provide per group verification techniques in which code may be verified against one or more rules on a group by group basis. In one or more embodiments relationships between portions of a module to be verified can be defined. By being aware of relationships between various code portions, various embodiments can divide a module into related groups and perform verification on the basis of the groups. Multiple groups can be derived based at least in part upon the relationships. Each group can then be verified separately for compliance with one or more rules. Verification results can be output for each of the groups.

Abstract: A target test framework and method are provided which can enable scenario writer(s) to design and implement driver test(s) by providing a platform to build scenario-based automated tests for device(s) and device driver(s) by using a set of components designed for target testing. The framework enables scenario writer(s) to perform a set of actions across different types device(s) without having to understand the detail of how those actions are implemented for each device. The framework further enables the testing of technology areas common to many targets (e.g., plug and play, power management, install/uninstall, security etc.) Additionally, the framework facilitates automatic identification and/or running of prewritten core functionality test that apply to a particular device. The framework further can allow runtime control of tests and the combining of framework components to form new device functionality tests and large scale scenarios.

Abstract: The present invention provides methods of detecting nucleic acid polymerase activity and methods of detecting compounds that modulate nucleic acid polymerase activity.