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Trends in Molecular Medicine|January 8, 2022
Deep learning for subtyping the Alzheimer's disease spectrumMichael F Romano, Vijaya B KolachalamaNeurology|October 10, 2023
Large Language Models in Neurology Research and Future PracticeMichael F Romano, Ludy C Shih, Ioannis C Paschalidis, et al.Artificial Intelligence in Medicine|June 6, 2022
Machine learning and pre-medical educationVijaya B KolachalamaIEEE Access : Practical Innovations, Open Solutions|August 16, 2024
Adversarial Learning for MRI Reconstruction and Classification of Cognitively Impaired IndividualsXiao Zhou, Akshara R Balachandra, Michael F Romano, et al.Medrxiv : the Preprint Server for Health Sciences|April 1, 2025
AI-driven fusion of neurological work-up for assessment of biological Alzheimer's diseaseVaruna H Jasodanand, Sahana S Kowshik, Shreyas Puducheri, et al.Nature Communications|August 11, 2025
AI-driven fusion of multimodal data for Alzheimer's disease biomarker assessmentVaruna H Jasodanand, Sahana S Kowshik, Shreyas Puducheri, et al.Medrxiv : the Preprint Server for Health Sciences|November 26, 2025
Entity-centric evaluation of large language model responses for medical question-answering tasksYi Liu, Vijaya B KolachalamaNPJ Digital Medicine|July 16, 2019
Machine learning and medical educationVijaya B Kolachalama, Priya S GargActa Biomaterialia|December 25, 2012
Impact of polymer structure and composition on fully resorbable endovascular scaffold performanceJahid Ferdous, Vijaya B Kolachalama, Tarek ShazlyThe Journal of Prevention of Alzheimer'S Disease|December 1, 2025
AI models, bias and data sharing efforts to tackle Alzheimer's disease and related dementiasVijaya B Kolachalama, Vijay Sureshkumar, Rhoda AuPageof 15