AI + Neurology

Duke-NUS AI + Medical Sciences Initiative (DAISI)

The AI + Neurology section of DAISI, spearheaded by Dr. Seyed Ehsan Saffari, represents a pioneering effort at the intersection of AI and neurology. This initiative is dedicated to pushing the boundaries of medical research and clinical practice through innovative AI-driven approaches.

At its core, it aims to address significant challenges in neurology by leveraging AI’s capabilities. Neurological disorders present complex patterns and symptoms that are often difficult to diagnose accurately and treat effectively. AI + Neurology at DAISI harnesses AI technologies such as machine learning, deep learning, and data analytics to process vast amounts of neuroimaging data, genetic information, and clinical records. By doing so, it seeks to uncover hidden patterns, identify biomarkers indicative of diseases, and predict disease progression and treatment responses with unprecedented accuracy.

One of the remarkable aspects of their work is its emphasis on personalized medicine. Through AI-driven analyses, the initiative endeavors to tailor treatments to individual patients based on their unique genetic profiles, disease characteristics, and responses to therapies. This personalized approach holds the potential to revolutionize how neurological disorders are managed, offering patients more effective treatments and improving their quality of life.

Moreover, it fosters collaboration between AI experts, neurologists, neuroscientists, and other medical professionals. This interdisciplinary approach ensures that insights from AI research translate effectively into clinical practice, accelerating the development of new diagnostic tools, therapeutic interventions, and preventive strategies. Some of the key researchers of AI + Neurology at DAISI are:

Seyed Ehsan Saffari, Director, Duke-NUS Medical School, Singapore
Louis Tan Chew Seng, Neurologist, National Neuroscience Institute, Singapore
Adeline Ng Su Lyn, Neurologist, National Neuroscience Institute, Singapore
Chan Ling Ling, Radiologist, National Neuroscience Institute, Singapore
Tan Eng King, Neurologist, National Neuroscience Institute, Singapore
Rochelle E. Tractenberg, Professor, Department of Neurology, Georgetown University, USA
Yi-Ju Li, Professor, Biostatistics and Bioinformatics, Duke University, USA
Hassan Doosti, Senior Lecturer, Macquarie University, Australia

Overall, we stand at the forefront of AI-driven innovation in neurology, paving the way for groundbreaking discoveries and advancements in medical sciences. By combining cutting-edge technology with deep domain expertise, the initiative strives to make significant contributions to understanding, diagnosing, and treating neurological diseases, ultimately benefiting patients worldwide. For more info, please visit AI + Neurology