Development times for neurodegenerative disease drugs are significantly longer, particularly for those that are ultimately approved. Additionally, the post-development regulatory review process is often extended. Failure rates are mainly due to the complexity of the brain and nervous system and lack of understanding of the underlining mechanisms that lead to brain disorders and neurodegeneration.
Consequently, neurodegenerative drug discovery and development programs have been subjected to significant cutbacks and eliminations over the last few decades, affecting the entire drug development pipeline from discovery through to clinical trials and regulatory approval.
The integration of AI has enhanced the understanding of mechanisms, accelerated novel target identification and fueled advances in drug discovery for neurodegenerative diseases and other CNS disorders. It has helped in generating compounds with unique properties such as improved specificity or bioavailability. Overall, AI holds immense promise for understanding, diagnosing and managing neurodegenerative diseases, ultimately improving patient outcomes.
Register for this webinar today to gain insights on how AI is playing a crucial role in advancing CNS research related to neurodegenerative clinical drug development.
Join experts from TFS HealthScience, Anne-Marie Nagy, PhD, Vice President, Head of Internal Medicine & Neuroscience; and Sara Doan, BSc, DC, Executive Director, Program Strategy, Internal Medicine & Neuroscience, for the live webinar on Wednesday, September 18, 2024, at 11am EDT (4pm BST/UK).
For more information, or to register for this event, visit Accelerating Neurodegenerative Clinical Drug Development with AI.
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