Smartphone-based platforms implementing microfluidic detection with image-based artificial intelligence
Bangfeng Wang,Yiwei Li,Mengfan Zhou,Yulong Han,Mingyu Zhang,Zhaolong Gao,Zetai Liu,Peng Chen,Wei Du,Jing Zhang,Xiao Jun Feng,Bi-Feng Liu +11 more
TL;DR: In this article , the authors summarize recent progress in mobile health platforms, including the aspects of microfluidic chips, imaging modalities, supporting components, and the development of software algorithms.
read more
Abstract: The frequent outbreak of global infectious diseases has prompted the development of rapid and effective diagnostic tools for the early screening of potential patients in point-of-care testing scenarios. With advances in mobile computing power and microfluidic technology, the smartphone-based mobile health platform has drawn significant attention from researchers developing point-of-care testing devices that integrate microfluidic optical detection with artificial intelligence analysis. In this article, we summarize recent progress in these mobile health platforms, including the aspects of microfluidic chips, imaging modalities, supporting components, and the development of software algorithms. We document the application of mobile health platforms in terms of the detection objects, including molecules, viruses, cells, and parasites. Finally, we discuss the prospects for future development of mobile health platforms.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Plant exosome nanovesicles (PENs): green delivery platforms.
TL;DR: This review provides new ideas and methods for future research on plant exosomes, including their empowerment by artificial intelligence and gene editing, as well as their potential application in the biomedicine, food, and agriculture industries.
50
Nature-inspired micropatterns
Yunhua Wang,Guoxia Zheng,Nan Jiang,Guoliang Ying,Yiwei Li,Xiaolu Cai,Jiashen Meng,Liqiang Mai,Ming Guo,Yu Shrike Zhang,Xingcai Zhang +10 more
38
Recent advances in point-of-care testing of COVID-19.
Sungwoon Lee,Liyan Bi,Hao Chen,Dong Lin,Rongchao Mei,Yixuan Wu,Lingxin Chen,S. Joo,Jaebum Choo +8 more
TL;DR: Next-generation pandemic sensing methods incorporating artificial intelligence that can be used to meet global health needs in the future are introduced and appropriate responses of various testing devices to emerging infectious diseases and prospective preventive measures for the post-pandemic era are discussed.
33
Role of Machine Learning Assisted Biosensors in Point-of-Care-Testing For Clinical Decisions
Manish Bhaiyya,Debdatta Panigrahi,Prakash Rewatkar,Hossam Haick +3 more
TL;DR: This study reviews the integration of Machine Learning (ML) into biosensors for Point-of-Care-Testing (PoCT), enhancing diagnostic accuracy, sensitivity, and speed through ML algorithms, and explores applications in various healthcare contexts, including electrochemical and wearable sensors.
23
Artificial Intelligence−Powered Electrochemical Sensor: Recent Advances, Challenges, and Prospects
Siti Nur Ashakirin Binti Mohd Nashruddin,Faridah Hani Mohamed Salleh,Rozan Mohamad Yunus,Halimah Badioze Zaman +3 more
TL;DR: This paper reviews recent advances in AI-powered electrochemical sensors, highlighting their potential for real-time disease detection and personalized healthcare, while also discussing challenges such as data privacy, sensor stability, and algorithmic bias.
19
References
Hand-powered vacuum-driven microfluidic gradient generator for high-throughput antimicrobial susceptibility testing.
Wenyi Zeng,Peng Chen,Shunji Li,Qiu Sha,Pengjie Li,Xuemei Zeng,Xiao Jun Feng,Wei Du,Bi-Feng Liu +8 more
TL;DR: In this article , a hand-powered vacuum-driven microfluidic (HVM) device was proposed for antibiotic susceptibility testing (AST) using a syringe as the only vacuum source for rapid generating concentration gradient of antibiotics in different chambers.
23
Plasmonic coloration of silver nanodome arrays for a smartphone-based plasmonic biosensor
Mana Toma,Keiko Tawa +1 more
- 11 Sep 2019
TL;DR: In this article, the utility of plasmonic coloration on silver nanodome arrays for sensitive and quantitative detection of biomolecules using a smartphone-based sensor is proposed.
All-printed semiquantitative paper-based analytical devices relying on QR code array readout
TL;DR: This work presents the integration of QR code recognition into paper-based analytical devices (PADs) with "distance-based" colorimetric signalling, resulting in semiquantitative readout fully relying on straightforward barcode reader solutions.
21
Machine Learning for Predicting the Surface Plasmon Resonance of Perfect and Concave Gold Nanocubes
TL;DR: Using the combination of the discrete dipole approximation (DDA) and machine learning methods, this article developed a computational tool to predict the wavelength at which the dipole surface plasmon r...
20
Patterned plasmonic gradient for high-precision biosensing using a smartphone reader
TL;DR: A metasurface-inspired bio-sensor, patterned plasmonic gradient (PPG), which transduces local index information into 2D patterns and provides a high performance bio-Sensing solution for the places where professional equipment is inaccessible.
20