Our Research & Publications
Our research focuses on using advanced neuroimaging techniques to understand the brain mechanisms underlying autism spectrum disorder (ASD) and other neurological conditions. We are particularly interested in functional connectivity and how it differs in individuals with ASD, aiming to identify biomarkers and develop new interventions.
Published Articles
Identifying discriminative features of brain network for prediction of Alzheimer's disease using graph theory and machine learning
SMS Karim, MS Fahad, RS Rathore - Journal of Neuroscience, 2024
Abstract: This study explores the use of graph theory and machine learning to identify discriminative features within brain networks for the early prediction of Alzheimer's disease...
View on Google ScholarPrediction of transient and permanent protein interactions using AI methods
K Kumar, SMS Karim, M Kumar, RR Singh - Bioinformatics Journal, 2023
Abstract: Artificial intelligence methods are increasingly being applied to predict protein-protein interactions, crucial for understanding cellular processes and drug discovery...
View on Google ScholarFunctional connectivity signatures in fMRI-derived connectome for the diagnosis of autism spectrum disorder
SMS Karim, RS Rathore - NeuroImage, 2025
Abstract: Functional magnetic resonance imaging (fMRI) provides a powerful tool to investigate brain functional connectivity, offering insights into neurological disorders like ASD...
View on Google ScholarTo understand the trends of antibiotics resistance research through text mining and analysis of the abstracts from PubMed database
SMS KARIM - Journal of Medical Informatics, 2019
Abstract: Antibiotic resistance is a growing global health concern. This study utilizes text mining and analysis of PubMed abstracts to identify trends in antibiotic resistance research...
View on Google Scholar