Speaker at Pharmaceutical Conference - Shaijan Yakub Shaikh
Shree Saraswati Institute of Pharmacy Tondavali, India
Title : AI-guided chrono-nanoformulation: A new paradigm in circadian-targeted drug delivery systems

Abstract:

The synchronization of drug delivery with the body’s circadian rhythm has emerged as a transformative approach in pharmaceutical drug development. Conventional dosage forms largely ignore biological time-dependent variations, often leading to sub-optimal therapeutic outcomes and increased adverse effects. Recent advances in chronopharmaceutics, coupled with nanotechnology and artificial intelligence (AI), have opened a novel and highly promising direction for precision drug delivery.

This abstract highlights the emerging concept of AI-guided chrono-nanoformulation, an innovative strategy that integrates circadian biology with intelligent formulation design. Nano-enabled delivery systems such as nanoemulsions, lipid nanoparticles, and polymeric nanocarriers allow controlled, site-specific, and time-programmed drug release. When combined with AI-based predictive models, these systems can be optimized to release therapeutic agents at biologically optimal time windows, enhancing drug efficacy while minimizing toxicity.

AI tools, including machine learning and deep learning algorithms, are increasingly being employed to analyze circadian biomarkers, pharmacokinetic profiles, and formulation variables simultaneously. This enables rational selection of excipients, particle size optimization, release kinetics prediction, and personalization of dosing schedules based on individual circadian patterns. Such intelligent systems hold exceptional potential in managing circadian-linked disorders such as sleep disturbances, cardiovascular diseases, metabolic disorders, asthma, and hormone-related conditions.

The integration of AI-driven chronotherapeutic principles with nanoformulation technologies represents a paradigm shift in modern drug development. This approach not only enhances therapeutic precision but also supports personalized medicine and non-invasive drug delivery routes. Despite existing challenges related to regulatory acceptance and clinical translation, AI-guided chrono-nanoformulation is poised to redefine the future of pharmaceutical formulation science.

Keywords: Chronopharmaceutics, Artificial Intelligence, Nanoformulation, Circadian Rhythm, Precision Drug Delivery, Personalized Medicine.

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