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This paper presents a review with the state-of-the-art of wireless microsystems for biomedical applications. Aspects including the radio-frequency systems, data acquisition, application specificities (especially those in...

In the contemporary scientific landscape, the demand for sustainable and nontoxic synthesis of metallic nanoparticles has grown significantly, with biological or green synthesis approaches being preferred over convention...

Entropy is a powerful tool for the analysis of time series, as it allows describing the probability distributions of the possible state of a system, and therefore the information encoded in it. Nevertheless, important in...

As key materials for medical devices and consumables, biomedical elastomer materials play a significant role in improving people's health and quality of life. The biomedical elastomer material industry has broad applicat...

Abstract Background In biomedical research, subjects and biospecimens are commonly tracked using simple IDs or UUIDs, which guarantee uniqueness but convey no embedded semantic information. Contextual metadata (such as t...

The work is devoted to the development of medical systems for monitoring biomedical indicators. The problem of developing a universal hardware software-controlled control system for the diagnosis of biological objects is...

Poly(N-acryloylmorpholine) (P(NAM))-based materials have been developed to prevent protein adhesion to surfaces due to their biocompatibility and protein-repellent properties. However, transferring the benefits of P(NAM)...

With the emerging trend of big data and internet-of-things, sensors with compact size, low cost and robust performance are highly desirable. Spectral imaging and spectral LIDAR systems enable measurement of spectral and ...

Abstract Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems have significantly advanced data modelling capabilities and improved opportunities for extracting knowledge from vast and heterogeneo...

Abstract Detecting epileptic seizures from electroencephalogram (EEG) signals presents a significant challenge due to the nonlinear and non-stationary nature of brain activity. In this study, we propose a hybrid classifi...

Microfluidics is a very useful and promising technology that allowed engineering a huge variety of developments in several fields, such as biology, biomedical engineering, biotechnology, biochemistry, medicine and tissue...

Lead zirconate titanate (PZT) has long been regarded as the gold standard material for piezoelectric sensorsowing to its outstanding piezoelectric performance (d33 = 500–600 pC/N) and well-established industrial scalab...

Nanophotonic device building blocks, such as optical nano/microcavities and plasmonic nanostructures, lie at the forefront of sensing and spectrometry of trace biological and chemical substances. A new class of nanophoto...

Object identification and three-dimensional reconstruction techniques are always attractive research interests in machine vision, virtual reality, augmented reality, and biomedical engineering. Optical computing metasurf...

Malignant tumors pose a significant global health challenge. While established screening methods exist, they are largely site-specific, limiting comprehensive prevention. Multi-cancer screening, which detects multiple ca...

Abstract The growing threat of antibiotic-resistant bacteria calls for the urgent development of novel antimicrobial agents. Binary chalcogenide nanoparticles, particularly Ag2Se nanoparticles, have emerged as promising ...

Spectroscopy underpins a wide range of applications, including biomedical diagnostics, precision agriculture, remote sensing, and industrial process control. Recent advances in silicon and microwave photonic integration ...

Light waves possess multiple degrees of freedom besides intensity, including phase and polarization, that often contain important information but require complex and bulky systems for their measurement. Here we report a ...

The article reveals the demographic-labor atrophy of Ukraine as an integral socio-economic phenomenon, which, under conditions of prolonged polycrisis (military actions, demographic depletion, labor market distortions, s...

Abstract Quantum Machine Learning (QML) is emerging as a promising technology for tackling complex computational challenges, although its practical implementation faces significant obstacles owed to the inherent noise in...

Transport-of-intensity equation (TIE) as a noninterference method for quantitative phase imaging (QPI) has broad applications in micrographic imaging and optical metrology. Previous TIE-based QPI systems require the axia...