AI-powered Human-on-Chip: Redefining Biomedical Frontiers

Human-on-Chip

Abstract

Human-on-chip technology heralds a transformative paradigm in biomedical frontiers, furnishing diminutive replicas of human organs and tissues on microscale substrates. These platforms offer an unprecedented avenue for scrutinizing human physiology, diseases, and pharmacological responses with heightened precision, efficiency, and ethical consideration vis-à-vis conventional methodologies, contributing to the achievement of the Sustainable Development Goal (SDG) related to good health and well-being (SDG-03). This perspective explores the integration of human-on-chip technology with artificial intelligence (AI) to enhance the efficacy of these systems. AI algorithms assume a pivotal function in deciphering intricate datasets emanating from human-on-chip experiments, prognosticating outcomes, fine-tuning experimental parameters, and even orchestrating chip operations. This investigation illuminates the contemporary state-of-the-art human-on-chip technology, the critical role of AI in propelling this domain forward, and the prospective synergy between these innovations in the biomedical frontiers, thereby contributing to the advancement of health-related sustainable development goals.