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
Design of high-performance plasmonic nanosensors by particle swarm optimization algorithm combined with machine learning.
TL;DR: An algorithm based on particle swarm optimization (PSO), which in combination with a machine learning (ML) model, is used to design plasmonic sensors and is expected to pave the way for the design of nanophotonic devices in future.
53
Luminescent wearable biosensors based on gold nanocluster networks for "turn-on" detection of Uric acid, glucose and alcohol in sweat.
Ziping Zhou,Ziping Zhou,Tong Shu,Tong Shu,Tong Shu,Yafang Sun,Hongxin Si,Peiwen Peng,Lei Su,Xueji Zhang +9 more
TL;DR: In this article, a luminescent wearable sweat tape (LWST) biosensor is developed via embedding multi-component nanoprobes onto microwell-patterned paper substrates of hollowed-out double-side tapes.
52
A smartphone-based point-of-care diagnosis of H1N1 with microfluidic convection PCR
Xianbo Qiu,Shengxiang Ge,Gao Pengfei,Ke Li,Shuo Yang,Shiyin Zhang,Xiangzhong Ye,Ningshao Xia,Shizhi Qian +8 more
TL;DR: For point-of-care diagnosis of influenza A (H1N1) virus, a convection polymerase chain reaction (PCR) in a capillary tube is developed for rapid nucleic acid amplification with a simple heating scheme as discussed by the authors.
DNA-Damage-Response-Targeting Mitochondria-Activated Multifunctional Prodrug Strategy for Self-defensive Tumor Therapy.
TL;DR: A novel multifunctional construct, M1, designed explicitly to target the DNA damage response in cancer cells, which contains both a floxuridine (FUDR) and protein phosphatase 2A (PP2A) inhibitor combined with a GSH-sensitive linker.
47
Quantitation of Femtomolar‐Level Protein Biomarkers Using a Simple Microbubbling Digital Assay and Bright‐Field Smartphone Imaging
TL;DR: This work provides the proof-of-principle of the microbubbling digital readout as an ultra-sensitive technology with minimal requirement for power and accessories, facilitating future POC applications.
44