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Harnessing The Power Of AI In MS Diagnosis, Monitoring, And Treatment By Andrew Thomson, Logan Wright, and Lev Gerlovin, Life Sciences Practice, CRA Applications of artificial intelligence (AI) are rapidly expanding in healthcare, including the handling of administrative logistics at hospitals, assessment of patient health data, and analysis of novel molecules in drug discovery. A prime example of the future potential of AI is in revolutionizing the way we diagnose, monitor, and treat multiple sclerosis (MS), thereby advancing our understanding of the disease course. Today, MS continues to be a difficult disease to diagnose and treat because the underlying etiology remains unknown. Persistent challenges in the current treatment approach to MS include a lack of reliable biomarkers, making patient diagnosis, disease monitoring, and drug discovery challenging. To maximize the utility of AI in MS, drug developers and medtech manufacturers must strategically incorporate AI solutions int

Andrew thomsonLev gerlovinAxosim nervesimLogan wrightGoogle deepmindMatia sadat borhaniSeyed sajjadLife sciences practiceNature publishing groupAi technology potential to identifyLife sciencesUniversity of california san franciscoDisruption factorsLearning diagnostic toolsMonitoring disruption factorsTrack patient disease progression