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An ambitious national project launched by the Government of India, called Indigenisation of Diagnostics (InDx), anchored at Centre for Cellular and Molecular Platforms (CCAMP), aims to build a robust supply-chain network of Indian companies capable of producing reagents that go into a testing kit as well as manufacture testing kits. G-KnowMe provides Informatics Consulting Services in helping InDx develop this supply chain network for tracking the reagents and kits. G-KnowMe is also supporting the Informatics Centre of Excellence for the programs.
Research and Development
The recently launched new generation healthcare company CRISPR-BITS is the brainchild of five alumni of BITS Pilani. The company aims to use CRISPR (clustered regularly interspaced palindromic repeats) technology and develop solutions with far reaching impact in healthcare, agro-biotech and food industry. G-KnowMe is the exclusive technical partner for this project and aims to develop the CRISPR platform and several products in the diagnostics and biotechnology domain for both infectious diseases and cancer.
Our team consulted for a Cancer Diagnostics organization to develop
a prognostic test to predict the risk of recurrence in TNBC patients using IHC biomarkers. Machine
learning approaches were used to select a subset of biomarkers most relevant to the risk of recurrence. Extensive validation and statistical analysis was performed to assess the applicability and performance of the developed models. This resulted in identification of the tumor and patient profiles that needed more data collection to accurately predict the risk.
Clinical Data Management
Our team provided the guidance and technology support to develop an integrated oncology database using common data format that could collate diverse patient data from a variety of sources. The team worked closely with domain experts and informatics specialists of the client organization to develop the common data format, create comprehensive vocabularies using domain expertise in oncology, develop automated data extraction protocol using NLP and tested the database with real world data and problems.