Area of research
Astronomy and Astrophysics · Molecular Biology
Research interest
Research interests include Astrophysics and Star Formation Studies, Stellar, planetary, and galactic studies, Bioinformatics and Genomic Networks, and Functional Brain Connectivity Studies.
Multiomics analysis to explore blood metabolite biomarkers in an Alzheimer’s Disease Neuroimaging Initiative cohort
A novel spatiotemporal graph convolutional network framework for functional connectivity biomarkers identification of Alzheimer’s disease
Deep learning-based polygenic risk analysis for Alzheimer’s disease prediction
Characterizing Heterogeneity in Neuroimaging, Cognition, Clinical Symptoms, and Genetics Among Patients With Late-Life Depression
Amyloid-associated increases in soluble tau relate to tau aggregation rates and cognitive decline in early Alzheimer’s disease
An IL1RL1 genetic variant lowers soluble ST2 levels and the risk effects of APOE-ε4 in female patients with Alzheimer’s disease
Dissociation of tau pathology and neuronal hypometabolism within the ATN framework of Alzheimer’s disease
The trend of disruption in the functional brain network topology of Alzheimer’s disease
Accelerated functional brain aging in pre-clinical familial Alzheimer’s disease
A deep learning framework identifies dimensional representations of Alzheimer’s Disease from brain structure
Correlation between Alzheimer’s disease and type 2 diabetes using non-negative matrix factorization
Spread of pathological tau proteins through communicating neurons in human Alzheimer’s disease
Challenges and Opportunities with Causal Discovery Algorithms: Application to Alzheimer’s Pathophysiology
Women can bear a bigger burden: ante- and post-mortem evidence for reserve in the face of tau
A telescope GWAS analysis strategy, based on SNPs-genes-pathways ensamble and on multivariate algorithms, to characterize late onset Alzheimer’s disease
Predicting Alzheimer’s disease progression using multi-modal deep learning approach
Predicting Short-term MCI-to-AD Progression Using Imaging, CSF, Genetic Factors, Cognitive Resilience, and Demographics
Multimodal Hippocampal Subfield Grading For Alzheimer’s Disease Classification
Identification of genetic risk factors in the Chinese population implicates a role of immune system in Alzheimer’s disease pathogenesis
Characteristic patterns of inter- and intra-hemispheric metabolic connectivity in patients with stable and progressive mild cognitive impairment and Alzheimer’s disease
Novel genetic loci associated with hippocampal volume
Robust Identification of Alzheimer’s Disease subtypes based on cortical atrophy patterns
Basal forebrain degeneration precedes and predicts the cortical spread of Alzheimer’s pathology
Bayesian model reveals latent atrophy factors with dissociable cognitive trajectories in Alzheimer’s disease
Morphometricity as a measure of the neuroanatomical signature of a trait
Genetic studies of plasma analytes identify novel potential biomarkers for several complex traits
A semi-mechanism approach based on MRI and proteomics for prediction of conversion from mild cognitive impairment to Alzheimer’s disease
Common genetic variants influence human subcortical brain structures
Ferritin levels in the cerebrospinal fluid predict Alzheimer’s disease outcomes and are regulated by APOE
Large-scale genomics unveil polygenic architecture of human cortical surface area