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Revolutionizing Alzheimer’s Diagnosis using Quantum Computing

B. Patil, Mihir Lad, Prabal Sharma, Noynicaa Santani, Madhur Rajpal, S. Shaikh

International Congress on Information and Communication Technology, 2024

55 participants · 1 citation

Abstract

Alzheimer's disease is a neurological ailment that worsens over time and gradually deteriorates memory and thinking abilities, eventually robbing individuals of their ability to perform even the simplest tasks independently. As the primary cause of dementia, Alzheimer's accounts for a significant majority of cases, affecting over 55 million individuals globally. To identify the biomarkers responsible for Alzheimer's disease, various scanning methods are employed. In the early stages of Alzheimer's, changes in the chemical composition of the brain have shown a correlation with the macular region of the eye. Optical imaging is a fast-developing discipline in medical research and clinical practice. It provides a non-invasive method of visualizing as well as diagnosing a variety of medical disorders. When combined with AI, it becomes a strong tool for detecting Alzheimer's disease in its infancy. Quantum computing is a revolutionary technology that is based on quantum physics. It is capable of revolutionizing healthcare. Beyond its applications in expediting drug development and enabling customized medicine, quantum computing also has the potential to unravel brain puzzles and improve medical imaging. This research investigates the use of quantum technology to unravel the enigma of Alzheimer's disease, particularly in its nascent stages.

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