International Business Machines Corporation

Merative US L.p.

Kirk Alan Beaty

Andrzej P Kochut

Vijay Krishnarao Naik

Ashish Kundu

Hidayatullah Habeebullah Shaikh

Fang Wang

Vanessa V Michelini

Cheryl L Eifert

Bhuvan Sharma

Rajdeep Bhowmik

Anca Sailer

Ajay Mohindra

Junghwan Rhee

Arup Acharya

Charles Otto Schulz

Claudia S Huettner

Justin Gregory Manweiler

Michael Reuben Head

Jia Xu

Marta Sanchez-Martin

Pengwei Yang

Puneet Jain

Sambit Sahu

Norman Bobroff

Yasuharu Katsuno

Mengdi Zhu

John G Buckley

Julia L O'Halloran

Ruchi Mahindru

David Bruce Lindquist

Gerd Breiter

Norbert George Vogl

Yih-Shin Tan

Salman Abdul Baset

Long Wang

Joel C Dubbels

David Breitgand

Gautam Kar

Byung Chul Tak

Amir Epstein

Holger Reinhardt

Marc-Thomas H Schmidt

Jeffrey Bernard Nowicki

Elinor Dehan

Jose I Ramirez

Daniel Marom

Gunjan Khanna

Daniel Salinas

Shang Xue

Himanshu Sharma

Nilton T Bila

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.

Automatic processing of electronic files to identify genetic variants

Computer based methods, systems, and computer readable media for providing genomic services are provided. A request is received from a user. The request is applied to one or more from a group of a personalized data repository for the user and supporting knowledge bases, wherein the personalized data repository includes genetic test results, health/clinical information, and insurance coverage, and wherein the knowledge bases include information pertaining to genetic tests and clinical guidelines. Data from the applied request is integrated with results from service modules performing one or more from a group of content search, variation interpretation, and report generation to produce results for the request. The personalized data repository and supporting knowledge bases are updated based on the results of the request. Surveillance services are triggered based on one or more events.

Person-centric genomic services framework and integrated genomics platform and systems

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.

Self-evolving knowledge graph

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.

Region based processing and storage of data

Computer based methods, systems, and computer readable media for classifying documents within a content repository or documents within the document subsets are provided. Documents may be pre-processed to render document sections visible to machine readers. Document subsets may be generated based on user-defined terms. The machine readable documents may be classified within the content repository into one of a group of categories, based-upon the number of times classification terms appear in a specific document section of the document. Documents may be ranked based upon the frequency of classification terms in the specific section. Documents may be associated with specific diseases such as cancer, genes, gene variants, and drugs or synonyms thereof by comparing relevant search terms to specific sections of the documents.

Automated document filtration and prioritization for document searching and access

Computer-based methods, systems, and computer readable media for managing documents within a content repository or documents within the document subsets are provided. Documents within the content repository may be classified into one of a functional category and a clinical category. Documents are applied to a machine learning annotation and analysis module to automatically annotate the documents to indicate relationships between entities. A request is processed for the documents including one or more search terms, wherein the search terms pertain to one or more entities from a group of gene, gene variant, drug, cancer and a biomedical/clinical term. Documents satisfying the request are identified by comparing the one or more search terms to the annotations and specific sections of the documents, and determining a relevance of a document based on the comparison and a frequency of the one or more search terms in each of the specific sections. The identified documents are ranked according to custom techniques.

Automated document filtration with machine learning of annotations for document searching and access

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. A priority score may be determined for documents based on a frequency of one or more of the search terms in each of the specific sections, and the documents may be ranked from highest total priority score to lowest total priority score.

Automated document filtration and priority scoring for document searching and access

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.

Processing documents in content repositories to generate personalized treatment guidelines

Filtering a set of social messages received in real time to yield a sub-set likely to relate to some first substantive content subject (such as a video available online). For each message in the sub-set, a respective social message sender, and a corresponding social influence value for each respective social message sender is determined. A prediction of the extent of the spread of the substantive content subject is made based on the social influence values of the social message senders.

Method for real-time viral event prediction from social data

A validation system is configured to automatically generate validators for one or more target systems. The validation system includes: a memory storing a computer process, a network interface configured to interface with the one or more target systems over a computer network, and a processor executing the computer process. The computer process is configured to parse the deployment code to identify components in deployment code, generate validator code for each identified component, and use the network interface to transmit the validator codes to the one or more target systems.

Automatic generation of validators to validate deployment code used for configuring servers

Managing a service is provided. Information is collected about use of a set of resources by the service. A request is received to verify information regarding a selected portion of a period of time during the use of the set of resources by the service. A description of the use of the set of resources by the service during the selected portion of the period of time is generated using the collected information in response to receiving the request to verify the information regarding the selected portion of the period of time during the use of the set of resources by the service. A response to the request is created using the generated description of the use of the set of resources by the service during the selected portion of the period of time as proof of validity of the information.

Secure metering and accounting for cloud services

A method for clustering images includes acquiring initial image data including a scene of interest. A 3D model is constructed of the scene of interest based on the acquired initial image data. Additional image data including the scene of interest is acquired. The additional image data is fitted to the 3D model. A line-of-sight of the additional image data is estimated based on the fitting to the 3D model. The additional image data is clustered according to the estimated line-of-sight.

Clustering crowdsourced videos by line-of-sight

Managing a service is provided. Information is collected about use of a set of resources by the service. A request is received to verify information regarding a selected portion of a period of time during the use of the set of resources by the service. In response to receiving the request to verify the information regarding the selected portion of the period of time during the use of the set of resources by the service, a description of the use of the set of resources by the service during the selected portion of the period of time is generated using the collected information. A response to the request is created using the generated description of the use of the set of resources by the service during the selected portion of the period of time as proof of validity of the information.

A system and method for transforming a legacy device into a virtualized environment, comprising includes analyzing the profiling data for at least one application to determine usage frequency and resource requirements of the at least one application. Captured user events are benchmarked to simulate a user workload for the at least one application to determine how resource utilization and execution times scale from a legacy environment to a virtualized environment. The legacy device is transformed into the virtualized environment in accordance with a provisioning plan.

System and method for transforming legacy desktop environments to a virtualized desktop model

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Goldens Bridge, NY, United States of America

Kirk Alan Beaty