Abstract:
The effectiveness of vaccines for neurodegenerative diseases depends on their ability to induce the correct immune response in the brain and peripheral nervous system. This study explores the use of AI and Machine Learning algorithms to monitor and predict immune responses after vaccination in patients with neurodegenerative disorders. By analyzing immune biomarkers and neuroimaging data, AI models can identify patterns in immune activation that correlate with disease progression or remission. This predictive approach can help optimize vaccine formulations and dosages, improving therapeutic outcomes for patients with Alzheimer's, Parkinson's, and other neurodegenerative conditions.
Biography:
Dr. Neha Bhandari, working as an Assistant Professor at Chitkara School of Pharmacy, Chitkara University, H.P since Oct, 2016 and has total experience of 6.5 years in academics and research. She is a highly enthused, self-determined and organized pharmaceutical research professional. She is also engaged in Dr Reddy’s industry Oriented Courses held in collaboration between Chitkara University and established Pharmaceutical Industries. I have 20 publications in various National/International journals of repute with 349 citations and H-index 6. I have presented/published review/research abstracts in various National/International conferences. I have attended various webinar on Covid-19 since March-June, 2020. She has published 3 book chapters. I have completed B.Pharmacy from Maharishi Markandeshwar University, Mullana, Ambala and M. Pharmacy from Chitkara College of Pharmacy, Chitkara University, Rajpura, Punjab and completed Ph.D in Pharmaceutical Sciences from Chitkara College of Pharmacy, Chitkara University, Rajpura, Punjab in 2021. My areas of interest in research are Nanotechnology/Microtechnology based formulation development and solubility enhancement of BCS class II drugs.