Artificial Intelligence and Machine Learning in Drug Design and Development

14Deep Learning Tactics for Neuroimaging Genomics Investigations in Alzheimer’s Disease

Mithun Singh Rajput¹*, Jigna Shah¹, Viral Patel², Nitin Singh Rajput³ and Dileep Kumar^4,5

¹Department of Pharmacology, Institute of Pharmacy, Nirma University, Ahmedabad, Gujarat, India

²Department of Pharmaceutics, Ramanbhai Patel College of Pharmacy, Charotar University of Science and Technology (CHARUSAT), Changa, Gujarat, India

³Department of Information and Communication Technology, School of Technology, Pandit Deendayal Energy University, Gandhinagar, Gujarat, India

⁴Poona College of Pharmacy, Department of Pharmaceutical Chemistry, Bharati Vidyapeeth (Deemed to be University), Pune, Maharashtra, India

⁵UC Davis Comprehensive Cancer Center, Department of Entomology and Nematology, University of California Davis, CA, USA

Abstract

Alzheimer’s disease (AD) is a neurodegenerative condition that is hallmarked by senile dementia, worsens over time, and has no proven treatment. It causes a decline in cognitive abilities. Effective automated procedures are required for early prediction and diagnosis since it is imperative to stop the progression of the disease. The creation of precise computer diagnostic systems was made possible by the nature of several aspects of neural data, which were primarily retrieved from neuroimaging with computer-aided algorithms. In the field of computer vision, deep learning, a high-tech machine learning strategy, has demonstrated exceptional ability in identifying ...