Integrated technologies for continuous monitoring of organs-on-chips: Current challenges and potential solutions

计算机科学 生化工程 过程(计算) 风险分析(工程) 计算生物学 数据科学 生物 工程类 医学 操作系统
作者
Jonathan Sabaté del Río,Jooyoung Ro,Heejeong Yoon,Tae‐Eun Park,Yoon‐Kyoung Cho
出处
期刊:Biosensors and Bioelectronics [Elsevier BV]
卷期号:224: 115057-115057 被引量:25
标识
DOI:10.1016/j.bios.2022.115057
摘要

Organs-on-chips (OoCs) are biomimetic in vitro systems based on microfluidic cell cultures that recapitulate the in vivo physicochemical microenvironments and the physiologies and key functional units of specific human organs. These systems are versatile and can be customized to investigate organ-specific physiology, pathology, or pharmacology. They are more physiologically relevant than traditional two-dimensional cultures, can potentially replace the animal models or reduce the use of these models, and represent a unique opportunity for the development of personalized medicine when combined with human induced pluripotent stem cells. Continuous monitoring of important quality parameters of OoCs via a label-free, non-destructive, reliable, high-throughput, and multiplex method is critical for assessing the conditions of these systems and generating relevant analytical data; moreover, elaboration of quality predictive models is required for clinical trials of OoCs. Presently, these analytical data are obtained by manual or automatic sampling and analyzed using single-point, off-chip traditional methods. In this review, we describe recent efforts to integrate biosensing technologies into OoCs for monitoring the physiologies, functions, and physicochemical microenvironments of OoCs. Furthermore, we present potential alternative solutions to current challenges and future directions for the application of artificial intelligence in the development of OoCs and cyber-physical systems. These "smart" OoCs can learn and make autonomous decisions for process optimization, self-regulation, and data analysis.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
mm发布了新的文献求助10
刚刚
ding应助乐小泽采纳,获得10
刚刚
善学以致用应助一一得一采纳,获得10
2秒前
酷波er应助健忘幻儿采纳,获得10
2秒前
HongJiang发布了新的文献求助10
3秒前
HHHH发布了新的文献求助10
6秒前
6秒前
爆米花应助麻辣小鸭血采纳,获得10
7秒前
JW完成签到,获得积分10
7秒前
lala完成签到,获得积分10
7秒前
7秒前
JamesPei应助武海素采纳,获得10
8秒前
黄伊若完成签到 ,获得积分10
11秒前
量子星尘发布了新的文献求助10
11秒前
11秒前
帅到被人砍完成签到,获得积分10
11秒前
白芽发布了新的文献求助10
11秒前
积极的睫毛完成签到,获得积分10
12秒前
12秒前
12秒前
陈昇发布了新的文献求助10
13秒前
13秒前
汉堡包应助顺利的夜梦采纳,获得10
14秒前
14秒前
香蕉觅云应助科研通管家采纳,获得10
15秒前
科研通AI5应助科研通管家采纳,获得10
15秒前
15秒前
科研通AI5应助科研通管家采纳,获得10
15秒前
15秒前
田様应助科研通管家采纳,获得10
15秒前
瓜瓜叽叽发布了新的文献求助10
15秒前
wjj123应助科研通管家采纳,获得10
15秒前
Holland应助科研通管家采纳,获得50
15秒前
16秒前
大模型应助科研通管家采纳,获得10
16秒前
起名废人发布了新的文献求助10
17秒前
17秒前
18秒前
zxcvbnm完成签到 ,获得积分10
18秒前
18秒前
高分求助中
【提示信息,请勿应助】请使用合适的网盘上传文件 10000
Continuum Thermodynamics and Material Modelling 2000
Chinesen in Europa – Europäer in China: Journalisten, Spione, Studenten 1200
Deutsche in China 1920-1950 1200
Electron microscopy study of magnesium hydride (MgH2) for Hydrogen Storage 800
Green Star Japan: Esperanto and the International Language Question, 1880–1945 800
Sentimental Republic: Chinese Intellectuals and the Maoist Past 800
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3870965
求助须知:如何正确求助?哪些是违规求助? 3413058
关于积分的说明 10682998
捐赠科研通 3137544
什么是DOI,文献DOI怎么找? 1731043
邀请新用户注册赠送积分活动 834557
科研通“疑难数据库(出版商)”最低求助积分说明 781203