Abstract: A mechanism is provided for processing electronic files to identify genetic variants of a gene. Evidence of one or more genetic variants of the gene and corresponding information is extracted from a corpus of information. Each genetic variant of the one or more genetic variants is classified based on whether the genetic variant is identified as being pathogenic. Genetic variant annotation is then performed to generate a summary.

Abstract: A computer system updates a knowledge graph. A model corresponding to a set of documents is received, wherein the model comprises a plurality of entities, a plurality of entity associations, and a plurality of confidence scores corresponding to the plurality of entity associations. A relevance value is calculated for each entity of the plurality of entities that are present in the set of documents and for each entity of the plurality of entities that are present in a new document. One or more entity associations that are supported by specific portions of the new document are identified. The confidence scores for each of the identified one or more entity associations are updated based on a level of support in the new document. Embodiments of the present invention further include a method and program product for updating a knowledge graph in substantially the same manner described above.

Abstract: A mechanism is provided for automated curation of genetic variants using machine learning and natural language processing on multitude sources. A functional study publication in a corpus of information is identified using a supervised classifier. Focal entity detection in the functional study publication is performed by detecting one or more genetic variant mentions in corresponding text using a regular expression based dictionary. Focal genetic variants are identified based on the focal entity detection and based on weighted scores from one or more sections of the corresponding text. For a given identified focal genetic variant, the functional study publication is classified. Sentences in the classified functional study expressing a relation between the given genetic variant and other entities are identified using a relation extraction model. The classified functional study is summarized and facts and relations expressed in the classified functional study are presented.

Abstract: A mechanism is provided for processing electronic files to identify genetic variants of a gene. Evidence of one or more genetic variants of the gene and corresponding information is extracted from a corpus of information. Each genetic variant of the one or more genetic variants is classified based on whether the genetic variant is identified as being pathogenic. Genetic variant annotation is then performed to generate a summary.

Abstract: A genomics artificial intelligence (AI) pipeline comprising a plurality of trained machine learning computer models is provided. First machine learning (ML) computer model(s) extract genomics entities from content of the electronic documents. Second ML computer model(s) determine relationships between genomics entities. Third ML computer model(s) grade biomarkers specified in the relationships based on a predetermined grading scheme and the relationships and gradings are stored in a genomics database for use in processing a patient gene sequencing data structure to identify a signature mutation. A report output is generated identifying the signature mutation present in the patient gene sequencing data structure.

Abstract: A method, a system, and a computer program product are provided. A first computing device determines that data to be processed for a request is confined to a geographic region in which the data is stored and identifies a second computing device within the geographic region in which the data is stored, wherein the identified second computing device and the computing device are connected to a network. The computing device directs the identified second computing to process the data within the geographic region to which the data is confined, according to the request, by one or more processing nodes executing on the identified second computing device.

Abstract: Computer-based methods, systems, and computer readable media for managing documents within a content repository or documents within the document subsets are provided. Documents may be pre-processed to be machine readable and classified within the content repository into one or more categories, based upon a number of times classification terms appear in a specific section of the document or based on an article type tag. Document subsets may be generated based on user-defined terms. Documents may be associated with specific cancer-types, genes, gene variants and drugs by comparing relevant search terms to specific sections of the documents. A request for processing the documents may include one or more of the search terms, pertaining to one or more from a group of gene, gene variant, drug, and cancer terms.

Abstract: A computer system processes documents in a content repository. Each document of a plurality of documents is classified into one of a functional category and a clinical category. Each document is annotated using one or more corpora to generate document annotations. Documents satisfying one or more query terms are identified by comparing each query term to the document annotations. The identified documents are ranked based on a determined relevance. Guidelines are produced based on the ranking of the identified documents. Embodiments of the present invention further include a method and program product for processing documents in a content repository in substantially the same manner described above.

Abstract: A method, a system, and a computer program product are provided. A first computing device determines that data to be processed for a request is confined to a geographic region in which the data is stored and identifies a second computing device within the geographic region in which the data is stored, wherein the identified second computing device and the computing device are connected to a network. The computing device directs the identified second computing to process the data within the geographic region to which the data is confined, according to the request, by one or more processing nodes executing on the identified second computing device.

Abstract: A computer system processes documents in a content repository. Each document of a plurality of documents is classified into one of a functional category and a clinical category. Each document is annotated using one or more corpora to generate document annotations. Documents satisfying one or more query terms are identified by comparing each query term to the document annotations. The identified documents are ranked based on a determined relevance. Guidelines are produced based on the ranking of the identified documents. Embodiments of the present invention further include a method and program product for processing documents in a content repository in substantially the same manner described above.

Abstract: Computer-based methods, systems, and computer readable media for managing documents within a content repository or documents within the document subsets are provided. Documents may be pre-processed to be machine readable and classified within the content repository into one or more categories, based upon a number of times classification terms appear in a specific section of the document or based on an article type tag. Document subsets may be generated based on user-defined terms. Documents may be associated with specific cancer-types, genes, gene variants and drugs by comparing relevant search terms to specific sections of the documents. A request for processing the documents may include one or more of the search terms, pertaining to one or more from a group of gene, gene variant, drug, and cancer terms.

Abstract: A computer system updates a knowledge graph. A model corresponding to a set of documents is received, wherein the model comprises a plurality of entities, a plurality of entity associations, and a plurality of confidence scores corresponding to the plurality of entity associations. A relevance value is calculated for each entity of the plurality of entities that are present in the set of documents and for each entity of the plurality of entities that are present in a new document. One or more entity associations that are supported by specific portions of the new document are identified. The confidence scores for each of the identified one or more entity associations are updated based on a level of support in the new document. Embodiments of the present invention further include a method and program product for updating a knowledge graph in substantially the same manner described above.

Abstract: A method, a computer program product, and a system is provided to monitor several continuously transmitted content channels, each providing video information and audio information, or a combination thereof with text information; simultaneously convert the monitored content from each channel to provide data stream feeds for each of these channels; simultaneously analyze each channel feed to determine if a user provided topic is included in any of these feeds; and send an alert to the user when a channel feed includes a user provided topic. In a further embodiment, the method includes delivery of content from the channel feed to a user device, upon request, in a user designated transmission format (such as video, audio or text).

Abstract: Systems and associated methods for dynamic, selection of services for business processes are described. Systems and methods manage problems related to service selection for business processes in a shared environment and manage the end-to-end QoS requirements for multiple business processes that access a shared environment. A solution is provided to such problems by discovering set(s) of service designs/selections using a combinatorial selection technique, such as for example a population-based selection technique. The systems and methods described herein can automatically determine changes to the system, determine a new set of service design selection solutions, and reconfigure the system accordingly.