Prof. Chengyu Liu
Southeast University, Nanjing, China
Title: Wearable ECG Monitoring
Abstract: Real-time, long-term wearable ECG monitoring is essential for early detecting the cardiovascular diseases and other health risks. This talk presents four important aspects about wearable ECG study, and summarizes the technology challenges exist in each aspect. For hardware, the challenge mainly comes from the textile sensor design and ergonomic design for comfort measurement. Challenges from algorithm aspect include: real-time signal quality assessment, robust&accurate feature detection and big-data&AI-based disease detection model development. High-quality clinical data are also needed, which plays an essential role in training reliable and generalizable models. Herein, the open-access and carefully labeled databases will be starved. Finally, the efficient clinical application is also important, which refers to the specially designed clinical study with the close cooperation with doctors.
Prof. Congo Tak Shing CHING
National Chung Hsing University,Taiwan,China
Title:Sensitivity Enhancement of Biosensors
Abstract: In the past 20 years, many researches focused on the development of biosensor as analytical tools. For example, clinical diagnosis, food safety monitoring, environmental surveillance and so forth. And, the improvement of the biosensor’s sensitivity is their primarily research goal. In fact, there are so many approaches to enhance the biosensor’s sensitivity, such as by the use of electron-transfer mediators, bimetallic materials, bienzymes, nanowire and etc. In this presentation, the use of sensor array, nanoparticles, microfluidic & interdigitated microelectrode, and AC sensing on the enhancements of biosensor’s sensitivity will be presented.
Prof. Min Zhao
Guangzhou medical university,China
Title:The application of whole exome sequencing to identify the rare variants for clinical practice
Abstract: Recently, evolution of powerful genetic techniques, including whole exome sequencing (WES), has enabled important new discoveries in an array of genetic diseases. However, the large-scale genetic data manipulation and analysis has become a challenge to translate genetic data into the clinical practice. We presented our integrative analysis approaches on two lung diseases (pulmonary arterial hypertension and pulmonary fibrosis) with different strategies to explain how genomics data can help clinical diagnosis and drug use recommendations. Using linkage analysis-based strategy, we employed WES in 190 pulmonary fibrosis families and to date have identified functional rare variants (RVs) associated with telomere function, centrosome function, and various stress-related pathways. In the arterial hypertension study, we performed whole-exome sequencing (WES) on 36 patients and sought to identify RVs underlying IPAH and determine whether RVs differ in vasodilator-responsive patients versus vasodilator-nonresponsive patients. The output from these two studies help us to carry out deep genetic mutation screening and to explore the biological mechanism behind it. The talk will mainly involve the analysis and integration of multi-family genetic disease analysis, the construction and analysis of drug-related genetic networks to accelerate the drug development process. Identifying those disease-causing RVs will clarify critical mechanisms in the pathogenesis of familial disease and sporadic rare diseases.