Neurologist uses AI to better predict how ALS progresses
Neurologists in Singapore are utilizing AI and machine learning to analyze patient data to better predict the progression of ALS. This research aims to provide more personalized treatment plans for patients living with the neurodegenerative disease.
Why it matters
Applying AI to medical diagnostics and prognosis represents a major advancement in personalized medicine for incurable diseases.
Former food technologist Huang Jing Han with her husband Fabian Tan. She was diagnosed with amyotrophic lateral sclerosis in 2017, two years after she began experiencing symptoms such as slurred speech.
Listen Summarise ALS is a fatal neurodegenerative disease with varying progression, and Singapore sees 30 to 50 new cases yearly, with patients living longer than in Western countries. NNI neurologist Crystal Yeo uses AI and machine learning to analyse patient data for better prediction of ALS progression and personalised treatment. Patient Huang Jing Han adapts to life with ALS, showing resilience by running a small business and using technology despite her physical challenges. AI generated
SINGAPORE – After the birth of her third daughter, former food technologist Huang Jing Han noticed that she was slurring her speech and had difficulty walking down the stairs.
The year was 2015, and she was 30 years old.
Get smarter about the news
Sign up free for a feed built around what you actually care about, Dive Deeper research on any story, and the full text of every article.
Create free accountAlready have an account? Sign in