Recent Advances in MXene-based Electrochemical Sensors for Healthcare Applications DOI

Harini Loganathan,

D. Durgalakshmi, R. Ajay Rakkesh

et al.

TrAC Trends in Analytical Chemistry, Journal Year: 2025, Volume and Issue: unknown, P. 118276 - 118276

Published: April 1, 2025

Language: Английский

Empowerment of AI algorithms in biochemical sensors DOI

Zhongzeng Zhou,

Tailin Xu, Xueji Zhang

et al.

TrAC Trends in Analytical Chemistry, Journal Year: 2024, Volume and Issue: 173, P. 117613 - 117613

Published: Feb. 29, 2024

Language: Английский

Citations

23

Role of Machine Learning Assisted Biosensors in Point-of-Care-Testing For Clinical Decisions DOI Creative Commons
Manish Bhaiyya, Debdatta Panigrahi, Prakash Rewatkar

et al.

ACS Sensors, Journal Year: 2024, Volume and Issue: 9(9), P. 4495 - 4519

Published: Aug. 15, 2024

Point-of-Care-Testing (PoCT) has emerged as an essential component of modern healthcare, providing rapid, low-cost, and simple diagnostic options. The integration Machine Learning (ML) into biosensors ushered in a new era innovation the field PoCT. This article investigates numerous uses transformational possibilities ML improving for algorithms, which are capable processing interpreting complicated biological data, have transformed accuracy, sensitivity, speed procedures variety healthcare contexts. review explores multifaceted applications models, including classification regression, displaying how they contribute to capabilities biosensors. roles ML-assisted electrochemical sensors, lab-on-a-chip electrochemiluminescence/chemiluminescence colorimetric wearable sensors diagnosis explained detail. Given increasingly important role PoCT, this study serves valuable reference researchers, clinicians, policymakers interested understanding emerging landscape point-of-care diagnostics.

Language: Английский

Citations

21

From Dual-Mode to Multi-Modal Electrochemical based Sensors: A Path Toward Accurate Sensing DOI Creative Commons
Wafa Aidli, Daniele Fumagalli, V. Pifferi

et al.

Current Opinion in Electrochemistry, Journal Year: 2025, Volume and Issue: unknown, P. 101655 - 101655

Published: Jan. 1, 2025

Language: Английский

Citations

3

Artificial intelligence-assisted electrochemical sensors for qualitative and semi-quantitative multiplexed analyses DOI Creative Commons
Rocco Cancelliere, Mario Molinara,

Antonio Licheri

et al.

Digital Discovery, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

AI-integrated electrochemical sensors boost peak resolution and sensitivity, enabling precise detection of electroactive species in complex matrices. This method enhances analytical capabilities, providing an analytically robust solution.

Language: Английский

Citations

2

Recent advances in electrochemical sensors applied to samples of industrial interest DOI
Javier E. Vilasó-Cadre, Juan Hidalgo, Lázaro Adrián González-Fernández

et al.

Microchemical Journal, Journal Year: 2025, Volume and Issue: unknown, P. 112931 - 112931

Published: Jan. 1, 2025

Language: Английский

Citations

1

Machine learning‐assisted point‐of‐care diagnostics for cardiovascular healthcare DOI Creative Commons
Kaidong Wang, Bing Tan, Xinfei Wang

et al.

Bioengineering & Translational Medicine, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 3, 2025

Abstract Cardiovascular diseases (CVDs) continue to drive global mortality rates, underscoring an urgent need for advancements in healthcare solutions. The development of point‐of‐care (POC) devices that provide rapid diagnostic services near patients has garnered substantial attention, especially as traditional systems face challenges such delayed diagnoses, inadequate care, and rising medical costs. advancement machine learning techniques sparked considerable interest research engineering, offering ways enhance accuracy relevance. Improved data interoperability seamless connectivity could enable real‐time, continuous monitoring cardiovascular health. Recent breakthroughs computing power algorithmic design, particularly deep frameworks emulate neural processes, have revolutionized POC CVDs, enabling more frequent detection abnormalities automated, expert‐level diagnosis. However, privacy concerns biases dataset representation hinder clinical integration. Despite these barriers, the translational potential learning‐assisted presents significant opportunities CVDs healthcare.

Language: Английский

Citations

1

Multiplexed electrochemical assays for clinical applications DOI Creative Commons
Mohamed Sharafeldin, James F. Rusling

Current Opinion in Electrochemistry, Journal Year: 2023, Volume and Issue: 39, P. 101256 - 101256

Published: Feb. 27, 2023

Language: Английский

Citations

18

Electrochemical Affinity Biosensors: Pervasive Devices with Exciting Alliances and Horizons Ahead DOI Creative Commons
Susana Campuzano, José M. Pingarrón

ACS Sensors, Journal Year: 2023, Volume and Issue: 8(9), P. 3276 - 3293

Published: Aug. 3, 2023

Electrochemical affinity biosensors are evolving at breakneck speed, strengthening and colonizing more niches drawing unimaginable roadmaps that increasingly make them protagonists of our daily lives. They achieve this by combining their intrinsic attributes with those acquired leveraging the significant advances occurred in (nano)materials technology, bio(nano)materials nature-inspired receptors, gene editing amplification technologies, signal detection processing techniques. The aim Perspective is to provide, support recent representative illustrative literature, an updated critical view repertoire opportunities, innovations, applications offered electrochemical fueled key alliances indicated. In addition, imminent challenges these biodevices must face new directions which they envisioned as players discussed.

Language: Английский

Citations

17

Extended-gate field-effect transistor chemo- and biosensors: State of the art and perspectives DOI Creative Commons
Željko Janićijević,

Trang‐Anh Nguyen‐Le,

Larysa Baraban

et al.

Next Nanotechnology, Journal Year: 2023, Volume and Issue: 3-4, P. 100025 - 100025

Published: Sept. 1, 2023

Extended-gate field-effect transistor (EG-FET) chemo- and biosensors are emerging tools for a wide range of biomedical applications. Significant efforts have been made to make them ultrasensitive biomolecules via the development miniaturized sensing transistors, design optimization extended gate layer, exploration multiplexing ability EG-FET configuration, advanced data analysis. Here, we specifically focus on several important aspects related construction current applications sensors. Namely, review materials, fabrication, properties transducer, specificities conditioning electronics, signal At same time, discuss drawbacks these sensors preventing their straightforward commercialization, such as output variation non-linearities response. We also recent key in areas early medical diagnostics, ecology, food chemical industries, others. Finally, briefly future perspectives this class

Language: Английский

Citations

17

Design and fabrication of machine learning trained silver nanoparticles-infused multi-walled carbon nanotube-based sensor for antiviral drug monitoring DOI

Mehvish Fatima,

Sehrish Hanif,

Eman Ramadan Elsharkawy

et al.

Microchemical Journal, Journal Year: 2024, Volume and Issue: 203, P. 110921 - 110921

Published: June 5, 2024

Language: Английский

Citations

8