Abstract: This is a method and a system for designing a personalized therapeutic intervention for an individual. Each individual has a unique composition of microbiome in the gut, one probiotic or dietary regimen may not have same efficacy in different individuals. The disclosure recommends a personalized therapeutic intervention for improving gut health of an individual by designing personalized therapeutics and diet based on functions of microbiome. The personalized therapeutic intervention is recommended based on several steps including generating a set of knowledge bases, identifying a change in the gut health of an individual by monitoring the gut samples and recommending a personalized therapeutic intervention. The personalized therapeutic intervention comprises at least one of a prebiotic, a probiotic and an optimized diet, wherein the optimized diet is estimated based on optimizing a gut food score, where the gut food score is computed based on the change in the gut health of an individual.

Abstract: The present disclosure provides methods, pharmaceutical compositions, and kits for treating cancer in patients in need thereof. The methods comprise administering to a patient in need a BET (bromodomain and extra-terminal protein) inhibitor, or a pharmaceutically acceptable salt thereof, alone or in combination with one or more JAK inhibitors. Also provided are medicaments for use in treating cancer.

Abstract: The present subject matter relates to size estimation of a plurality of user stories for agile software development. The plurality of user stories associated with a software may be obtained, and a base size for each of the plurality of user stories may be computed based on at least one basic parameter. The at least one basic parameter is indicative of a parameter affecting complexity associated with execution of a user story. Subsequently, an additional size for the plurality of user stories may be ascertained, based on at least one additional parameter. The at least one additional parameter is indicative of an environmental factor affecting delivery of the software. The overall size of the plurality of user stories is determined by consolidating the base size for each user story with the additional size for the plurality of user stories.

Abstract: A system and a method related to software project estimation. The method receives a value corresponding to at least one decision parameter including a project type, a technology, a software development life cycle (SDLC) type and a stage of the software project from user. The received value is mapped with techniques associated with each of estimation parameters including a size parameter, an effort parameter, a cost parameter, and a schedule parameter in a decision matrix. Based on the mapping, one or more techniques for each estimation parameter are shortlisted, and a success rating factor for each shortlisted technique is evaluated based on historical data to identify a primary set of techniques. Compatibility of the primary set of techniques is then determined based on an interoperability factor to identify at least one secondary set of techniques providing optimum estimate of the software project.

Abstract: The present subject matter relates to size estimation of a plurality of user stories for agile software development. The plurality of user stories associated with a software may be obtained, and a base size for each of the plurality of user stories may be computed based on at least one basic parameter. The at least one basic parameter is indicative of a parameter affecting complexity associated with execution of a user story. Subsequently, an additional size for the plurality of user stories may be ascertained, based on at least one additional parameter. The at least one additional parameter is indicative of an environmental factor affecting delivery of the software. The overall size of the plurality of user stories is determined by consolidating the base size for each user story with the additional size for the plurality of user stories.

Abstract: A system and a method related to software project estimation. The method receives a value corresponding to at least one decision parameter including a project type, a technology, a software development life cycle (SDLC) type and a stage of the software project from user. The received value is mapped with techniques associated with each of estimation parameters including a size parameter, an effort parameter, a cost parameter, and a schedule parameter in a decision matrix. Based on the mapping, one or more techniques for each estimation parameter are shortlisted, and a success rating factor for each shortlisted technique is evaluated based on historical data to identify a primary set of techniques. Compatibility of the primary set of techniques is then determined based on an interoperability factor to identify at least one secondary set of techniques providing optimum estimate of the software project.