Turning Failure into Success: How Artificial Intelligence Can Help Personalize Therapies and Re-use Patient Data

Abstract excerpt

<title>Abstract</title> <p> Despite robust preclinical evidence, many clinical trials, including several ones targeting the purinergic system, fail to demonstrate efficacy in humans. Failure may stem from inability to accurately identify patient subgroups responding similarly to treatments. Here, we explore the potential of artificial intelligence to revolutionize how we group and classify patients in clinical s...

Topics

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• Artificial Intelligence
• Bioinformatics and Genomic Networks
• Computational Drug Discovery Methods
• Disease Models, Animal
• Electroencephalography
• Epilepsy
• Phenotype
• Radiomics and Machine Learning in Medical Imaging

Identifiers and source

Literature Corpus work

c88f0c9c-1180-5bb8-be1d-61d3b667434e

DOI

10.21203/rs.3.rs-8808564/v1