Research

Computational Excellence Meets Biological Discovery

Transforming Biomedicine: Harnessing Data, AI, and Integrative Science for Precision Healthcare and Innovation

Thrust Areas

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Data Mining

• Data mining of Microarray data related to cancer
• Identify differential expressed genes related to specific cancer type and sub-types
• Functional annotations of genes using gene annotations and pathway databases

Text Mining

• Text mining of biomedical literature specific to pathogens
• Text mining of biomedical literature specific to kinase proteins
• Extract specify gene-gene and protein-protein interaction information
• Export and analyze the information as specific pathways

Database Development

• Development of microarray database of Cancer
• Development gene reference database for microbial pathogens
• On-line link with primary database resources

Integrated Genomics

• Using in-silico techniques to evaluate high throughput genomics data, such as NGS/Microarrays, to identify biomarkers for bacterial infections and human diseases
• Structural analysis and drug target identification of specific pathogens
• Design, synthesis and evaluation of antimicrobial peptides against drug-resistant gram-positive and gram-negative pathogens

Application of Machine Learning and Artificial Intelligence in Biomedicine

• Investigate the application of advanced technologies in biomedicine, using machine learning and artificial intelligence to uncover intricate patterns and enhance healthcare outcomes

Biomedical Data Mining and Processing

• Examine strategies and approaches for deriving meaningful insights from large-scale biomedical datasets, supporting informed decision-making and driving progress in medical research

Integrative Computational Biology

• Explore the harmonious integration of biological fields like genomics, proteomics, and metabolomics with computational methods, providing holistic insights into biological systems, and their integration, facilitating comprehensive analyses and uncovering complex molecular mechanisms
• Uncover advanced computational approaches and algorithms designed to model and analyze biological systems, deepening our understanding of complex biological processes. Present research on the identification and validation of biomarkers, alongside advancements in drug discovery and development, aimed at enhancing diagnosis, treatment, and patient care

Patents

1. Title of the Patent: 'D-NER' (Disease Named Entity Recognizer)
   Status: Filed/Accepted
   Type: National
2. Title of the Patent: 'GDMiner' (Gene-Disease association Miner)
   Status: Filed/Accepted
   Type: National
3. Title of the Patent: DisGeReExT (Disease Gene Relation Extractor)
   Status: Filed/Accepted
   Type: National