Bio-Inspired Nanomaterials for Micro/Nanodevices: A New Era in Biomedical Applications

Abstract

Exploring bio-inspired nanomaterials (BINMs) and incorporating them into micro/nanodevices represent a significant development in biomedical applications. Nanomaterials, engineered to imitate biological structures and processes, exhibit distinctive attributes such as exceptional biocompatibility, multifunctionality, and unparalleled versatility. The utilization of BINMs demonstrates significant potential in diverse domains of biomedical micro/nanodevices, encompassing biosensors, targeted drug delivery systems, and advanced tissue engineering constructs. This article thoroughly examines the development and distinctive attributes of various BINMs, including those originating from proteins, DNA, and biomimetic polymers. Significant attention is directed toward incorporating these entities into micro/nanodevices and the subsequent biomedical ramifications that arise. This review explores biomimicry’s structure–function correlations. Synthesis mosaics include bioprocesses, biomolecules, and natural structures. These nanomaterials’ interfaces use biomimetic functionalization and geometric adaptations, transforming drug delivery, nanobiosensing, bio-inspired organ-on-chip systems, cancer-on-chip models, wound healing dressing mats, and antimicrobial surfaces. It provides an in-depth analysis of the existing challenges and proposes prospective strategies to improve the efficiency, performance, and reliability of these devices. Furthermore, this study offers a forward-thinking viewpoint highlighting potential avenues for future exploration and advancement. The objective is to effectively utilize and maximize the application of BINMs in the progression of biomedical micro/nanodevices, thereby propelling this rapidly developing field toward its promising future.

A Low-Power Analog Integrated Euclidean Distance Radial Basis Function Classifier

“…This paradigm's unique capacity to mimic biological processes, such as neural networks or physiological responses, holds tremendous potential in decoding intricate biological mechanisms and optimizing healthcare solutions [19,20]. By leveraging the inherent parallelism and efficiency of analog computations, biomedical engineers can create innovative platforms capable of rapid and nuanced analysis of biological signals, leading to breakthroughs in diagnostics, personalized treatments, and the development of biologically inspired computing systems tailored to address healthcare challenges with unparalleled precision and efficiency [22].…”