Chronotherapy and Circadian Medicine: Personalizing Treatment Timing with Artificial Intelligence
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Updated: Nov 5, 2026

Human Circadian Phenotyping and Diurnal Performance Testing in the Real World
Published on: April 7, 2020
1Department of Internal Medicine, Palliative Medicine Unit, College of Medicine, King Saud University, Riyadh, Saudi Arabia.
Abstract:
This review examines how artificial intelligence (AI) is transforming chronotherapy and circadian medicine by enabling precise, individualized estimation of circadian phase. AI algorithms applied to wearable sensors, blood transcriptomes, and multimodal physiologic data now predict internal body times, supporting optimized timing of light therapy, chemotherapy, antiseizure medications, and antihypertensives. While promising applications exist in sleep disorders, oncology, epilepsy, and cardiometabolic conditions, significant barriers remain in data standardization, regulatory approval, and clinical integration. The article highlights recent advances, critically reviews controversial trials (eg, Hygia), and outlines practical steps toward translating AI-guided chronotherapy into routine sleep and medical practice.
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