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Principal Investigator  
Principal Investigator's Name: ASHWIN KUMAR
Department: Department of Computer Science Engineering
Proposed Analysis: "Development of an AI-based diagnostic tool for early detection of Alzheimer's Disease" Early detection of this disease is critical for effective treatment and management of symptoms. With the help of deep learning techniques, we can train an AI model using large datasets of brain scans, cognitive assessments, and genetic markers to accurately predict the risk of developing Alzheimer's disease in individuals. The project could involve collecting and preprocessing data from various sources such as neuroimaging, genomics, and electronic health records. The dataset could be used to train a deep neural network model using techniques such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and attention mechanisms. Once the model is trained, it can be used to predict the risk of Alzheimer's disease in individuals by analyzing their brain scans and other relevant data. This would help in early diagnosis and management of the disease, which could significantly improve patient outcomes. The project could also involve the development of a user-friendly interface for clinicians and researchers to input data and obtain results, making it easy to use in clinical settings. Additionally, the model could be validated on a large, diverse population to ensure that it is accurate and unbiased.
Additional Investigators