A5101480673- Bioinformatics and Genomic Networks
- Artificial Intelligence in Healthcare
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Nutritional Studies and Diet
- Advanced Graph Neural Networks
- Dermatologic Treatments and Research
- Childhood Cancer Survivors' Quality of Life
- Electrospun Nanofibers in Biomedical Applications
- Cancer, Lipids, and Metabolism
- Genetics, Bioinformatics, and Biomedical Research
- Machine Learning in Bioinformatics
- Plant Pathogens and Fungal Diseases
- Parasites and Host Interactions
- Silk-based biomaterials and applications
- Diabetes Management and Education
- Cholesterol and Lipid Metabolism
- Steroid Chemistry and Biochemistry
- Electrohydrodynamics and Fluid Dynamics
- Tissue Engineering and Regenerative Medicine
- Computational Drug Discovery Methods
- Neonatal Health and Biochemistry
- Lipoproteins and Cardiovascular Health
- Brucella: diagnosis, epidemiology, treatment
- Wound Healing and Treatments
- Infant Development and Preterm Care
Indian Institute of Technology Kharagpur
2019-2025
Institute of Medical Sciences
2025
Abstract Background Studies on Type-2 Diabetes Mellitus (T2DM) have revealed heterogeneous sub-populations in terms of underlying pathologies. However, the identification epidemiological datasets remains unexplored. We here focus detection T2DM clusters data, specifically analysing National Family Health Survey-4 (NFHS-4) dataset from India containing a wide spectrum features, including medical history, dietary and addiction habits, socio-economic lifestyle patterns 10,125 patients. Methods...
Co-morbid disease condition refers to the simultaneous presence of one or more diseases along with primary disease. A patient suffering from co-morbid possess mortality risk than a alone. So, it is necessary predict pairs. In past years, though several methods have been proposed by researchers for predicting diseases, not much work done in prediction using knowledge graph embedding tensor factorization. Moreover, complex-valued vector-based factorization being used any biological and...
Comorbid disease association refers to the simultaneous occurrence of a with coexistence another primary disease. Due complex traits these co-occurring multi-diseases, it is crucial know underlying genetic molecular basis prevalent diseases. The inference common based on gene co-expression data helps unveil pathogenesis comorbid There exist few disease-specific co-expression-based analyses predict hub genes causing However, works lack multi-relational biological integration. In addition,...
Abstract Timely control of bleeding is crucial to reduce mortality in traumatic injuries, highlighting the urgent need for biomaterials with anti‐hemorrhagic properties. Polycaprolactone (PCL) commonly used producing nanofibers range 100–200 nm. However, creating ultrafine PCL diameters below 100 nm remains a challenge, limiting its potential as hemostatic bandage. In this study, various ratios low molecular weight are blended reduced keratin modulate solution shear‐thinning behavior. The...
Introduction and objectives Neonatal jaundice is often treated by phototherapy. Phototherapy an inexpensive, uncomplicated, relatively safe treatment option. However, considering certain side effects associated with phototherapy the resultant mother-infant separation, measures to minimize exposure should be sought. Thus, this study was planned investigate of combining intermittent kangaroo mother care (KMC) on duration in neonatal hyperbilirubinemia (NNH). Materials methods It observational...
Abstract Studies on Type 2 Diabetes Mellitus (T2DM) have revealed heterogeneous sub-populations in terms of underlying pathologies. However, identification subpopulations epidemiological datasets remain unexplored. We here focus the detection T2DM clusters data, specifically analysing National Family Health Survey-4 (NFHS-4) dataset containing a wide spectrum features, including medical history, dietary and addiction habits, socio-economic lifestyle patterns 10,125 patients. Epidemiological...