Innoplexus Ag

Vatsal Agarwal

Gaurav Tripathi

Dileep Dharma

Gunjan Bhardwaj

Tapashi Mandal

Akshesh Doshi

Nikhil Vinod Fulzele

Tanay Gahlot

Sudhanshu Shekhar

Amit Jain

Sandeep Singh

Prashant Neminath Patil

Vivek Verma

Rohit Kewalramani

Arpan Sheetal

Sunil Patel

Amol Suki

Sidhanta Nayak

Yannik T H Schelske

Esha Pandita

Dhruv Shah

Om Sharma

Girish Kumar

Shubhojit Mallick

Elfin Garg

Ashwin Rathod

Vivek Singh

Vikram Sangat

Anurag Chandrekar

Mukesh Mehta

Mohit Mangal

Abhilash Bolla

Jijeesh Kr

Mohammad Laaeq Siddique

A system and method for identifying potential targets for a pharmaceutical compound. The system includes a database arrangement operable to store existing data sources and information related to the pharmaceutical compound; and a processing module communicably coupled to database arrangement. The processing module is operable to receive information related to the pharmaceutical compound, wherein the information includes at least one known target associated with the pharmaceutical compound; extract plurality of targets from existing data sources, wherein the existing data sources comprise plurality of data records and wherein each of the plurality of targets is associated with the pharmaceutical compound in at least one data record; analyse druggability of each of plurality of targets to determine a preliminary set of targets; determine net score for each of the targets in preliminary set of targets; and designate targets with a net score above a predefined threshold, as potential targets.

System and method for identifying potential targets for pharmaceutical compound

A system and method for identifying at least one association of an entity. The system includes a processing module and a database arrangement communicably coupled to processing module. The processing module is operable to receive an input comprising data related to the entity; acquire web content related to the received input from a plurality of data sources; filter the acquired web content to obtain information relating to the entity; identify probable associations of the entity from the information relating to the entity using an ontology; determine for each of the probable associations, at least one of: a recency attribute, a frequency attribute, a proximity attribute, a semantics attribute; determine a probability score for each of the probable associations of the entity; and identify the at least one association of the entity from the probable associations, wherein the at least one association corresponds to a highest probability score.

System and method for identifying at least one association of entity

A system and a method for parsing a user query. The system includes a database arrangement operable to store an ontology; and a processing module communicably coupled to the database arrangement. The processing module operable to receive the user query; refine the user query to obtain a search query using an algorithm; generate a plurality of strings for the obtained search query; sort the plurality of strings in a decreasing order of length of the plurality of strings; assign a part-of-speech tag to each of the query segments of the plurality of strings based on the ontology; identify at least one of the query segments as at least one output class or at least one input class based on the assigned part-of-speech tags; and establish semantic associations between the query segments based on the ontology to obtain the parsed user query.

System and method for parsing user query

A method and a system for performing context-based search. The method is executed by a processing module. The method includes developing a search database, developing a search query, and retrieving at least one context-based data-record from the search database.

Method and system for performing context-based search

Disclosed is a system comprising: a data repository storing web-content; a data processing arrangement communicatively coupled to data repository, wherein data processing arrangement is configured to: acquire a web-page signature file associated to web-content, from a web-server hosting a website for displaying web-content, wherein web-page signature file includes a plurality of data related to web-content; analyse plurality of data included in web-page signature file to identify a modification in website; compare web-content stored in data repository with web-content displayed on website to determine additional web-content included in web-content displayed on website; use a machine learning algorithm to determine an importance value for additional web-content using a set of predefined parameters; crawl web-content stored in data repository based on additional web-content upon determining importance value to be greater than a predefined threshold value; and predict a time for crawling web-content using forecast module.

System and method for crawling web-content

Disclosed is a system for documenting clinical trials, the system when operated identifies at least one publication related to a clinical trial entry to obtain documented clinical trial. The system comprises: an information repository comprising plurality of publications; a clinical trials registry database comprising a plurality of clinical trial entries; and a server arrangement. The server arrangement is configured to: obtain the plurality of publications; analyze the plurality of publications, using a filtering module, to determine a filtered set of publications; obtain the plurality of clinical trial entries; analyze a context of each of the publications in the filtered set and each of the plurality of clinical trial entries using a mapping module to identify a relationship of each of the publication with at least one of the plurality of clinical trial entries; and associate the plurality of clinical trial entries with publications related thereto to obtain documented clinical trials.

System and method of documenting clinical trials

Disclosed is a method of managing a network of field-specific entity records. The method comprises accessing the network of field-specific entity records comprising at least one pair of field-specific entity records within at least one field segment, wherein the at least one pair of field-specific entity records is associated with relations therebetween, and wherein the at least one pair of field-specific entity records comprises a first pair of field-specific entity records and at least one second pair of field-specific entity records; determining a weightage score of each of the relations between the at least one pair of field-specific entity records; determining an importance score of each field-specific entity record; determining a change in the importance score, and/or the weightage score of a relation between field-specific entity records of the at least one second pair of field-specific entity records; and updating the network of field-specific entity records.

Method and system for managing network of field-specific entity records

Disclosed is a method and a system for extracting entity information from target data. The method comprises: providing the target data; refining the target data to obtain at least one base entity information having a plurality of base entity units using an algorithm, wherein the algorithm is based on a predefined syntax; generating a plurality of strings for each of the base entity information, wherein the plurality of strings comprises at least one base entity unit among the plurality of base entity units; sorting the plurality of strings in a decreasing order of length of the plurality of strings; identifying an entity type of the plurality of strings, based on an ontology, by processing the plurality of strings sequentially; assigning labels to the plurality of strings based on the entity type; and mapping the labelled plurality of strings to a predefined signature to obtain the entity information.

Method and system for extracting entity information from target data

Disclosed is system for presenting information related to a search query, comprising: a client device configured to receive the search query; a database arrangement; an ontological databank and a server arrangement communicably coupled to the client device and the database arrangement, wherein the server arrangement is configured to: receive the search query, segment the search query into one or more query segments; identify one or more query concepts associated with one or more query segments, wherein each of the one or more query concepts are tagged with a corresponding entity class; determine a data structure for the information related to the search query based on one or more metrics of the relationships of the one or more query concepts, and render, on the client device, the information related to the search query presented in the data structure.

System and method of presenting information related to search query

A data processing arrangement is configured to obtain plurality of documents including sentences, analyze sentences of plurality of documents to determine specific domain associated with each of plurality of documents, tokenize sentences in each of plurality of documents to obtain plurality of tokens for each of plurality of documents, determine token coordinates of each of plurality of tokens, and interpret contextual meaning of each of tokens of plurality of tokens for each of plurality of documents.

System and method for interpreting contextual meaning of data

Disclosed is a system for comparing a plurality of documents, wherein each of the plurality of documents comprise one or more sentences the system comprises a lexicon ontology represented into multi-dimensional hierarchical space communicably coupled with a server arrangement. The server arrangement is configured to obtain the documents, tokenize, using a tokenizer module, the sentences in each of the documents to obtain a plurality of tokens for each of the documents, determine token coordinates of each of the tokens in the multi-dimensional hierarchical space representing the lexicon ontology, determine sentence coordinates for each of the sentences in the documents using a transmutation module, generate similarity scores for each of the sentences in the documents using a comparison module, and determine a measure of similarity between the documents based on the similarity scores of the sentences in the documents.

System and method for comparing plurality of documents

A method and system for generating a parsed document from a digital document. The method includes segmenting the digital document into at least one section; classifying the at least one section of the digital document into at least one of a class: text class, table class, figure class, noise class; identifying a reading order of the digital document; and processing each of the at least one section of the digital document. Furthermore, processing each of the at least one section of the digital document comprises extracting content from each of the at least one section based on the class; and structuring the extracted content based on the reading order to generate the parsed document.

Method and system for generating parsed document from digital document

Disclosed is a system for retrieving data records from database arrangement based on search query. The database arrangement comprises plurality of data records that are associated with at least one concept. The system comprises ontological databank and processing arrangement. The ontological databank comprises plurality of concept buckets comprising plurality of concepts. The ontological databank is structured using structuring arrangement communicably coupled to ontological databank. The structuring arrangement comprises classification module to classify plurality of concepts, variant module to generate lexical variants of plurality of concepts, and normalization module to determine validity of plurality of concepts and association of new concept with one of plurality of concept buckets. The processing arrangement is operable to receive search query, process search query based on ontological databank, retrieve data records from database arrangement based on processed search query, and provide retrieved data records on computing device.

System and method for retrieving data records

A system of managing key entity records required by a user. The system includes a database arrangement operable to store a structured database including entity records and a processing module communicably coupled to the database arrangement. The processing module is operable to receive the structured database including entity records; determine an importance score for each of the entity records; identify key entity records based on the determined importance scores of the entity records; receive a tuning-input from the user; calculate a tuned importance score for each of the entity records based on the tuning-input from the user; and identify the key entity records required by the user based on the tuned importance scores of the entity records.

System and method of managing key entity records

Disclosed is a system for context-based abbreviation disambiguation, the system comprising: an ontological databank represented into a multi-dimensional space, a synonym databank, a glossary databank, and a server arrangement. The server arrangement is configured to obtain a text comprising abbreviations and concept phrases, extract a target abbreviation from the abbreviations, obtain potential expansions for the target abbreviation, calculate a synonym match score for potential expansions, using synonyms of the potential expansions and the concept phrases, calculate a concept match score, using concepts relating to the potential expansions and the concept phrases, calculate a context match score for the potential expansions using a comparison module, and determine one of the potential expansions as a valid expansion of the target abbreviation based on at least one of the: synonym match score, concept match score and context match score.

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Rampur, India

Vatsal Agarwal