Lee, Sanghoon Chung, Won Gi Kim, Enji Kim, Eunmin Paek, Joonho Kim, Dayeon An, Seung Hyun Lee, Taekyeong Lim, Jung Ah Park, Jang-Ung 2025-08-31T03:30:38Z 2025-08-31T03:30:38Z 2025-08-27 2025-09 1473-0197 https://pubs.kist.re.kr/handle/201004/153086 Microfluidic technology, originally developed for lab-on-a-chip applications, has rapidly expanded into wearable and implantable biomedical systems, enabling precise fluid handling for real-time biosensing, targeted drug delivery, and closed-loop therapeutics. This review provides a comprehensive overview of recent advancements in microfluidic platforms designed for integration with the human body, focusing on both wearable devices and implantable systems. Key design strategies are highlighted, including the integration of microfluidics with soft electronics, wireless communication, and multimodal sensing to enhance mechanical adaptability and functional versatility in dynamic biological environments. In addition, three critical technological directions for advancing digital therapeutics are discussed, particularly focusing on system-level stretchability, multimodal module integration, and artificial intelligence-driven data processing. These capabilities will serve as the foundation for transforming current microfluidic systems into intelligent, autonomous platforms, which will play a pivotal role in shaping future digital therapeutics that are personalized, responsive, and seamlessly integrated into everyday healthcare. English Royal Society of Chemistry Wearable and implantable microfluidic technologies for future digital therapeutics Article 10.1039/d5lc00525f 1 Lab on a Chip, v.25, no.18, pp.4508 - 4541 Lab on a Chip 25 18 4508 4541 N scie scopus 001552004200001 Biochemical Research Methods Chemistry, Multidisciplinary Chemistry, Analytical Nanoscience & Nanotechnology Instruments & Instrumentation Biochemistry & Molecular Biology Chemistry Science & Technology - Other Topics Instruments & Instrumentation Review CONTACT-LENSES DRUG-DELIVERY NEURAL PROBE SWEAT DEVICES SENSOR ELECTRODES GLUCOSE ALGORITHM CIRCUITS