Clinica Chimica Acta, Journal Year: 2025, Volume and Issue: unknown, P. 120409 - 120409
Published: May 1, 2025
Language: Английский
Advanced Intelligent Systems, Journal Year: 2024, Volume and Issue: unknown
Published: Nov. 26, 2024
Microfluidics has evolved into a transformative technology with far‐reaching applications in biomedical research. However, designing and optimizing custom microfluidic systems remains challenging because of their inherent complexities. Integrating artificial intelligence (AI) microfluidics promises to overcome these barriers by leveraging AI algorithms automate device design, streamline experimentation, enhance diagnostic therapeutic outcomes. Psoriasis is an incurable dermatological condition that difficult diagnose treat owing its complex pathogenesis. Traditional approaches are often ineffective fail address individual variabilities disease progression treatment responses. AI‐coupled platforms have the potential revolutionize psoriasis research clinical expansive applications. AI‐driven chips embedded biosensors precisely detect biomarkers (BMs), manipulate biological samples, mimic psoriasis‐like vivo vitro models, thereby allowing real‐time monitoring optimized testing. This review examines AI‐powered for advancing It design mechanisms cell screening, diagnosis, drug delivery. highlights recent advances, applications, challenges, future perspectives, ethical considerations personalized care patient
Language: Английский
Citations
3
Biosensors, Journal Year: 2025, Volume and Issue: 15(3), P. 176 - 176
Published: March 9, 2025
Hematological malignancies originating from blood, bone marrow, and lymph nodes include leukemia, lymphoma, myeloma, which necessitate the use of a distinct chemotherapeutic approach. Drug resistance frequently complicates their treatment, highlighting need for predictive tools to guide therapeutic decisions. Conventional 2D/3D cell cultures do not fully encompass in vivo criteria, translating disease models mice humans proves challenging. Organ-on-a-chip technology presents an avenue surmount genetic disparities between species, offering precise design, concurrent manipulation various types, extrapolation data human physiology. The development bone-on-a-chip (BoC) systems is crucial accurately representing microenvironment, predicting drug responses hematological cancers, mitigating resistance, facilitating personalized interventions. BoC modeling cancers research can intricate designs integrated platforms analyzing response simulate scenarios. This review provides comprehensive examination applicable visualizing within context bone. It thoroughly discusses materials pertinent systems, suitable vitro techniques, capabilities clinical settings, potential commercialization.
Language: Английский
Citations
0
IntechOpen eBooks, Journal Year: 2025, Volume and Issue: unknown
Published: March 19, 2025
Advancements in artificial intelligence (AI) and machine learning (ML) have transformed biosensing technologies, enhancing data acquisition, analysis, interpretation biomedical diagnostics. This chapter explores AI integration into biosensing, focusing on natural language processing (NLP), large models (LLMs), augmentation, various paradigms. These technologies improve biosensor sensitivity, precision, real-time adaptability. NLP automates text extraction, while LLMs facilitate complex decision-making using vast datasets. Data augmentation mitigates dataset limitations, strengthening ML model training reducing overfitting. Supervised drives predictive for disease detection, whereas unsupervised uncovers hidden biomarker patterns. Reinforcement optimizes sensor operations, calibration, autonomous control dynamic environments. The discusses case studies, emerging trends, challenges AI-driven biosensing. AI’s convergence with edge computing Internet of Things (IoT)-enabled biosensors enhances processing, latency expanding accessibility resource-limited settings. Ethical concerns, including privacy, interpretability, regulatory compliance, must be addressed responsible applications Future research should focus developing resilient to bias, capable continuous learning, optimized low-power, portable biosensors. Addressing these will enable AI-powered advance precision medicine global healthcare outcomes. Through interdisciplinary approaches, continue drive the evolution next-generation diagnostic solutions.
Language: Английский
Citations
0
Human Gene, Journal Year: 2025, Volume and Issue: unknown, P. 201401 - 201401
Published: March 1, 2025
Language: Английский
Citations
0
RSC Advances, Journal Year: 2025, Volume and Issue: 15(13), P. 10319 - 10335
Published: Jan. 1, 2025
Different detection approaches for monitoring adulterants/hazards present in cosmetics using paper-based devices and organ-on-a-chip.
Language: Английский
Citations
0
Microchimica Acta, Journal Year: 2025, Volume and Issue: 192(5)
Published: April 9, 2025
Abstract The isolation of a single atomic layer graphite, known as graphene, marked fundamental moment that transformed the field materials science. Graphene-based nanomaterials are recognized for their superior biocompatibility compared with many other types nanomaterials. Moreover, one main reasons growing interest in graphene is its potential applications emerging technologies. Its key characteristics, including high electrical conductivity, excellent intrinsic charge carrier mobility, optical transparency, substantial specific surface area, and remarkable mechanical flexibility, position it an ideal candidate solar cells touch screens. durability further establishes strong contender developing robust materials. To date, variety methods, such traditional spectroscopic techniques chromatographic approaches, have been developed detecting biomolecules, drugs, heavy metals. Electrochemical portability, selectivity, impressive sensitivity, offer considerable convenience both patients professionals point-of-care diagnostics. Recent advancements significantly improved capacity rapid accurate detection analytes trace amounts, providing benefits biosensor technology. Additionally, integration nanotechnology has markedly enhanced sensitivity selectivity electrochemical sensors, yielding results. Innovations point-of-care, lab-on-a-chip, implantable devices, wearable sensors discussed this review. Graphical abstract
Language: Английский
Citations
0
Chemosensors, Journal Year: 2025, Volume and Issue: 13(4), P. 149 - 149
Published: April 18, 2025
Heavy metal ion (HMI) contamination poses significant threats to public health and environmental safety, necessitating advanced detection technologies that are rapid, sensitive, field-deployable. While conventional methods like atomic absorption spectroscopy (AAS) inductively coupled plasma mass spectrometry (ICP-MS) remain prevalent, their limitations—including high costs, complex workflows, lack of portability—underscore the urgent need for innovative alternatives. This review consolidates advancements in last five years microfluidic HMI detection, emphasizing transformative potential through miniaturization, integration, automation. We critically evaluate synergy microfluidics with cutting-edge materials (e.g., graphene quantum dots) mechanisms (electrochemical, optical, colorimetric), enabling ultra-trace at parts-per-billion (ppb) levels. highlight novel device architectures, such as polydimethylsiloxane (PDMS)-based labs-on-chip (LOCs), paper-based microfluidics, 3D-printed systems, digital (DMF), which offer unparalleled portability, cost-effectiveness, multiplexing capabilities. Additionally, we address persistent challenges selectivity scalability) propose future directions, including AI integration sustainable fabrication. By bridging gaps between laboratory research practical deployment, this provides a roadmap next-generation solutions, positioning them indispensable tools global monitoring.
Language: Английский
Citations
0
Deleted Journal, Journal Year: 2025, Volume and Issue: 2(1)
Published: May 7, 2025
Language: Английский
Citations
0
Biosensors, Journal Year: 2025, Volume and Issue: 15(5), P. 307 - 307
Published: May 11, 2025
Microphysiological systems (MPS) incorporating microfluidic technologies offer improved physiological relevance and real-time analysis for cell-based assays, but often lack non-invasive monitoring capabilities. Addressing this gap, we developed a assay platform integrating an electrochemical biosensor real-time, of kinetic cell status through glucose consumption. The addresses the critical limitations traditional which typically rely on invasive, discontinuous methods. By combining enzyme-modified platinum electrodes within device, our can quantify dynamic changes in concentration resulting from cellular metabolism. We have integrated calibration function that corrects sensor drift, ensuring accurate prolonged short-term measurement stability. In validation experiments, system successfully monitored levels continuously 20 h, demonstrating robust performance reliable predictions. Furthermore, toxicity assays using HepG2 cells exposed to varying concentrations paraquat, detected consumption, effectively quantifying responses. This capability highlights device's potential accurately assessing conditions cells. Overall, significantly enhances by enabling continuous, quantitative, non-destructive analysis, positioning it as valuable tool future drug development biomedical research.
Language: Английский
Citations
0
Nanomaterials, Journal Year: 2025, Volume and Issue: 15(10), P. 731 - 731
Published: May 13, 2025
Integrated photonic biosensors are revolutionizing lab-on-a-chip technologies by providing highly sensitive, miniaturized, and label-free detection solutions for a wide range of biological chemical targets. This review explores the foundational principles behind their operation, including use resonant structures such as microring whispering gallery mode resonators, well interferometric crystal-based designs. Special focus is given to design strategies that optimize light-matter interaction, enhance sensitivity, enable multiplexed detection. We detail state-of-the-art fabrication approaches compatible with complementary metal-oxide-semiconductor processes, silicon, silicon nitride, hybrid material platforms, which facilitate scalable production seamless integration microfluidic systems. Recent advancements highlighted, implementation optofluidic crystal cavities, cascaded arrays subwavelength gratings, on-chip detector capable parallel biosensing. These innovations have achieved exceptional performance, limits reaching parts-per-billion level real-time operation across various applications clinical diagnostics, environmental surveillance, food quality assessment. Although challenges persist in handling complex samples achieving consistent large-scale fabrication, emergence novel materials, advanced nanofabrication methods, artificial intelligence-driven data analysis accelerating development next-generation biosensing platforms. poised deliver powerful, accessible, cost-effective diagnostic tools practical deployment diverse settings.
Language: Английский
Citations
0