Abstract
AI enhances healthcare by optimizing medication timing through circadian rhythm analysis. It uses data from prescriptions, health records, DNA, and wearable sensors to predict compliance, minimize adverse effects, and improve treatment for diseases like cancer and heart conditions. By analyzing genetic and epigenetic data, AI tailors drug schedules to individual chronotypes, synchronizing therapies with biological rhythms for better outcomes. Collaboration among clinicians, researchers, and ethicists drives advancements in personalized medicine, leveraging automated systems and precision dosing to improve adherence and efficacy. Despite challenges like data privacy, AI promises revolutionary progress in drug scheduling, enabling more accurate, personalized, and effective treatments for improved patient care.
| Original language | English |
|---|---|
| Title of host publication | Chronopharmacology |
| Subtitle of host publication | Time-Dependent Pharmacotherapy |
| Publisher | CRC press |
| Pages | 164-179 |
| Number of pages | 16 |
| ISBN (Electronic) | 9781040594841 |
| ISBN (Print) | 9781041067191 |
| DOIs | |
| Publication status | Published - 18 Nov 2025 |
| MoE publication type | A3 Part of a book or another research book |
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