Gaurav Pandey
A5004812994- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Computational Drug Discovery Methods
- Topic Modeling
- Speech and dialogue systems
- Machine Learning in Healthcare
- Natural Language Processing Techniques
- Machine Learning in Bioinformatics
- Artificial Intelligence in Healthcare
- Data Mining Algorithms and Applications
- Machine Learning and Data Classification
- Radiomics and Machine Learning in Medical Imaging
- Biomedical Text Mining and Ontologies
- Protein Structure and Dynamics
- AI in Service Interactions
- Liver Disease Diagnosis and Treatment
- Gene Regulatory Network Analysis
- Evolutionary Algorithms and Applications
- COVID-19 diagnosis using AI
- Diabetes Management and Research
- Genetics, Bioinformatics, and Biomedical Research
- Air Quality and Health Impacts
- AI in cancer detection
- Methane Hydrates and Related Phenomena
- Organ Donation and Transplantation
Malaviya National Institute of Technology Jaipur
2022-2025
Advanced Engineering (Czechia)
2025
Earth Cryosphere Institute
2025
University of Tyumen
2025
Siberian Branch of the Russian Academy of Sciences
2025
Indian Institute of Technology Kanpur
2003-2025
International Vaccine Institute
2025
Icahn School of Medicine at Mount Sinai
2015-2024
National Institute of Technology Kurukshetra
2023-2024
Graphic Era University
2024
Automated annotation of protein function is challenging. As the number sequenced genomes rapidly grows, overwhelming majority products can only be annotated computationally. If computational predictions are to relied upon, it crucial that accuracy these methods high. Here we report results from first large-scale community-based critical assessment (CAFA) experiment. Fifty-four representing state art for prediction were evaluated on a target set 866 proteins 11 organisms. Two findings stand...
Abstract Endothelial to mesenchymal transition (EndMT) plays a major role during development, and also contributes several adult cardiovascular diseases. Importantly, cells including fibroblasts are prominent in atherosclerosis, with key functions regulation of: inflammation, matrix collagen production, plaque structural integrity. However, little is known about the origins of atherosclerosis-associated fibroblasts. Here we show using endothelial-specific lineage-tracking that EndMT-derived...
<h3>Importance</h3> Mammography screening currently relies on subjective human interpretation. Artificial intelligence (AI) advances could be used to increase mammography accuracy by reducing missed cancers and false positives. <h3>Objective</h3> To evaluate whether AI can overcome interpretation limitations with a rigorous, unbiased evaluation of machine learning algorithms. <h3>Design, Setting, Participants</h3> In this diagnostic study conducted between September 2016 November 2017, an...
The COVID-19 pandemic has affected millions of individuals and caused hundreds thousands deaths worldwide. Predicting mortality among patients with who present a spectrum complications is very difficult, hindering the prognostication management disease. We aimed to develop an accurate prediction model using unbiased computational methods, identify clinical features most predictive this outcome.
Removing objects that are noisy is an important goal of data cleaning as noise hinders most types analysis. Most existing methods focus on removing the product low-level errors result from imperfect collection process, but irrelevant or only weakly relevant can also significantly hinder Thus, if to enhance analysis much possible, these should be considered noise, at least with respect underlying Consequently, there a need for techniques remove both noise. Because sets contain large amounts...
Breast cancer is the most common malignancy in women and responsible for hundreds of thousands deaths annually. As with cancers, it a heterogeneous disease different breast subtypes are treated differently. Understanding difference prognosis based on its molecular phenotypic features one avenue improving treatment by matching proper disease. In this work, we employed competition-based approach to modeling using large datasets containing genomic clinical information an online real-time...
Protective immunoglobulin A (IgA) responses to oral antigens are usually orchestrated by gut dendritic cells (DCs). Here, we show that lung CD103+ and CD24+CD11b+ DCs induced IgA class-switch recombination (CSR) activating B through T cell–dependent or –independent pathways. Compared with (LDC), CD64+ macrophages had decreased expression of cell activation genes significantly less production. Microbial stimuli, acting Toll-like receptors, transforming growth factor-β (TGF-β) production LDCs...
When it becomes completely possible for one to computationally forecast the impacts of harmful substances on humans, would be easier attempt addressing shortcomings existing safety testing chemicals. In this paper, we relay outcomes a community-facing DREAM contest prognosticate nature environment-based compounds, considering their likelihood have disadvantageous health-related effects human populace. Our research quantified cytotoxicity levels in 156 compounds across 884 lymphoblastic lines...
Abstract Background A total of 10%–20% patients develop long-term toxicity following radiotherapy for prostate cancer. Identification common genetic variants associated with susceptibility to radiotoxicity might improve risk prediction and inform functional mechanistic studies. Methods We conducted an individual patient data meta-analysis six genome-wide association studies (n = 3871) in men European ancestry who underwent Radiotoxicities (increased urinary frequency, decreased stream,...
Borophene, a 2D material exhibiting unique crystallographic phases like the anisotropic atomic lattices of β
Abstract Borophene, an anisotropic Dirac Xene, exhibits diverse crystallographic phases, including metallic β₁₂, χ₃, and semiconducting α alongside exceptional properties such as high electronic mobility, superior Young's modulus, thermal conductivity, superconductivity, ferroelasticity. These attributes position borophene a promising material for energy storage, electrocatalysis, wearable electronics. However, its widespread application is hindered by existing synthesis methods that are...
Rheumatoid arthritis (RA) affects millions world-wide. While anti-TNF treatment is widely used to reduce disease progression, fails in ∼one-third of patients. No biomarker currently exists that identifies non-responders before treatment. A rigorous community-based assessment the utility SNP data for predicting efficacy RA patients was performed context a DREAM Challenge (http://www.synapse.org/RA_Challenge). An open challenge framework enabled comparative evaluation predictions developed by...
In this paper we present the Exemplar Encoder-Decoder network (EED), a novel conversation model that learns to utilize similar examples from training data generate responses. Similar (context-response pairs) are retrieved using traditional TF-IDF based retrieval and corresponding responses used by our decoder ground truth response. The contribution of each response is weighed similarity context with input context. As result, assign higher scores those contexts whose crucial for generating...
Multiparametric magnetic resonance imaging (mpMRI) has become increasingly important for the clinical assessment of prostate cancer (PCa), but its interpretation is generally variable due to relatively subjective nature. Radiomics and classification methods have shown potential improving accuracy objectivity mpMRI-based PCa assessment. However, these studies are limited a small number methods, evaluation using AUC score only, non-rigorous all possible combinations radiomics methods. This...
Asthma is a common, under-diagnosed disease affecting all ages. We sought to identify nasal brush-based classifier of mild/moderate asthma. 190 subjects with asthma and controls underwent brushing RNA sequencing samples. A machine learning-based pipeline identified an consisting 90 genes interpreted via L2-regularized logistic regression classification model. This performed strong predictive value sensitivity across eight test sets, including (1) set independent asthmatic control profiled by...
PDGFRα+ mesenchymal progenitor cells are associated with pathological fibro-adipogenic processes. Conversely, a beneficial role for these during homeostasis or in response to revascularization and regeneration stimuli is suggested, but remains be defined. We studied the molecular profile function of order understand mechanisms underlying their fibrosis versus regeneration. show that essential tissue restructuring through injury-stimulated remodeling stromal vascular components,...
This study investigates the enzyme-less biosensing property of zinc oxide/carbon nano-onion (ZnO/CNO) nanocomposite coated on a glassy carbon electrode. The ZnO/CNO was synthesized using ex situ mixing method, and structural characterization done XRD, SEM, TEM, whereas functional groups optical were through FTIR UV-visible spectroscopy. electrochemical sensing response for linear range glucose concentration (0.1-15 mM) examined cyclic voltammetry (CV) with potential window -1.6 to +1.6 V 0.1...
The surging worldwide demand for hydrogen highlights the crucial need advanced detection technologies, essential enhancing safety and optimizing utilization across various applications.
Protein kinase function and interactions with drugs are controlled in part by the movement of DFG ɑC-Helix motifs that related to catalytic activity kinase. Small molecule ligands elicit therapeutic effects distinct selectivity profiles residence times often depend on active or inactive conformation(s) they bind. Modern AI-based structural modeling methods have potential expand upon limited availability experimentally determined structures states. Here, we first explored conformational space...