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Principal Investigator  
Principal Investigator's Name: Meghana Srikanth
Institution: SSN College of Engineering
Department: Information Technology
Country:
Proposed Analysis: Alzheimer's disease (AD) is a neurodegenerative disorder that affects millions of people worldwide. Early diagnosis of AD is crucial for effective management of the disease. Multimodal data classification using AI has shown great promise in accurately diagnosing AD. However, the availability of suitable data is critical for the development and validation of AI models. The objective of this proposal is to obtain data suitable for multimodal data classification using AI for Alzheimer's disease for research purposes. I would like to collect the following data: MRI: Magnetic resonance imaging (MRI) scans will be used to assess the structure of the brain. PET: Positron emission tomography (PET) scans will be used to evaluate the metabolic activity of the brain. CSF: Cerebrospinal fluid (CSF) samples will be collected and analyzed for the presence of biomarkers associated with AD. Demographic Data: Demographic data including age, sex, education level, and family history of AD will also be collected. The study will be conducted in accordance with the guidelines. In conclusion, obtaining suitable data is critical for the development and validation of AI models for AD diagnosis. This proposal outlines the methods that will be used to obtain data from various sources, including medical institutions, research centers, and patient support groups. The collected data will be used to train a machine learning model that will be integrated into a website for AI-powered classification of AD. The success of this project will ultimately contribute to the early diagnosis and effective management of AD.
Additional Investigators