معرفی
Rachel Milliken is an active researcher in the School of Pharmacy, specializing in innovative drug delivery systems with a focus on 3D printing technologies. Her work bridges pharmaceutical science and food technology, particularly exploring cacao-based formulations for therapeutic applications.
Her research interests center on pharmaceutical 3D printing, with particular expertise in cacao-based drug delivery systems, nutrient carrier optimization, and formulation printability. Milliken's work investigates how food-pharmaceutical interfaces can enhance drug delivery, focusing on improving printability through additives like soy lecithin while maintaining palatability and therapeutic efficacy. Her research has significant implications for personalized medicine and novel dosage form development.
Analysis of her publication trends reveals a strong focus on translational pharmaceutical technology, moving from theoretical printing concepts to practical applications in drug delivery. Her work consistently bridges food science and pharmaceuticals, with particular emphasis on making drug delivery more patient-friendly through familiar food matrices like chocolate. The research shows increasing media attention, with multiple news outlets covering her team's work on immune-boosting cacao formulations.
Milliken has been involved in significant research collaborations, particularly with Professor Dimitrios Lamprou's group, resulting in multiple high-impact publications and substantial media coverage. Her work on 3D printed cacao-based formulations generated 21 media coverage items and significant academic attention with 122 Mendeley readers.
Her laboratory work focuses on advanced pharmaceutical manufacturing, specifically developing and optimizing 3D printing techniques for drug delivery systems. The research team has established expertise in creating biocompatible dosage forms using food-grade materials, with particular attention to maintaining therapeutic efficacy while improving patient acceptability through familiar delivery matrices.
