Formulating a Lipidomic-Based Diagnostic Score for Clinical Subtyping of NSCLC
Formulating a lipidomic based diagnostic score for clinical subtyping of non-small cell lung cancer: discriminating adenocarcinoma from squamous cell carcinoma
Indian Institute of Technology Kharagpur · School of Medical Science and Technology
Funded Research Register
Our funded research programmes span women's health and respiratory disorders, applying multi-omics and machine learning to real clinical challenges.
Formulating a lipidomic based diagnostic score for clinical subtyping of non-small cell lung cancer: discriminating adenocarcinoma from squamous cell carcinoma
Analysis of Gut Microbiome and Metabolome in Women with Polycystic Ovary Syndrome.
Integration of metabolome, transcriptome and microbiome data to differentiate between chronic hypersensitivity pneumonitis and idiopathic pulmonary fibrosis.
Integrated transcriptomics, metabolomics and microbiome signatures-based prediction of COPD patients at-risk of progressing to lung cancer.
Multi-omics integrated machine learning approach for prediction of women at-risk of undergoing recurrent implantation failure(RIF).
Lipid Profiling and Spatial Lipid Mapping of the Endometrium in Recurrent Pregnancy Loss using LC-MS and DESI Imaging.
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