Personalized medicine: motivation, challenges, and progress

LH Goetz, NJ Schork - Fertility and sterility, 2018 - Elsevier
There is a great deal of hype surrounding the concept of personalized medicine.
Personalized medicine is rooted in the belief that since individuals possess nuanced and …

Driver fatigue detection systems using multi-sensors, smartphone, and cloud-based computing platforms: a comparative analysis

Q Abbas, A Alsheddy - Sensors, 2020 - mdpi.com
Internet of things (IoT) cloud-based applications deliver advanced solutions for smart cities
to decrease traffic accidents caused by driver fatigue while driving on the road …

The fourth scientific discovery paradigm for precision medicine and healthcare: challenges ahead

L Shen, J Bai, J Wang, B Shen - Precision Clinical Medicine, 2021 - academic.oup.com
With the progression of modern information techniques, such as next generation sequencing
(NGS), Internet of Everything (IoE) based smart sensors, and artificial intelligence …

Early detection of sudden cardiac death by using ensemble empirical mode decomposition-based entropy and classical linear features from heart rate variability …

M Shi, H He, W Geng, R Wu, C Zhan, Y Jin… - Frontiers in …, 2020 - frontiersin.org
Sudden cardiac death (SCD), which can deprive a person of life within minutes, is a
destructive heart abnormality. Thus, providing early warning information for patients at risk of …

Pilot behavior recognition based on multi-modality fusion technology using physiological characteristics

Y Li, K Li, S Wang, X Chen, D Wen - Biosensors, 2022 - mdpi.com
With the development of the autopilot system, the main task of a pilot has changed from
controlling the aircraft to supervising the autopilot system and making critical decisions …

Translational informatics for Parkinson's disease: from big biomedical data to small actionable alterations

B Shen, Y Lin, C Bi, S Zhou, Z Bai… - Genomics …, 2019 - academic.oup.com
Parkinson's disease (PD) is a common neurological disease in elderly people, and its
morbidity and mortality are increasing with the advent of global ageing. The traditional …

[HTML][HTML] NDDRF: a risk factor knowledgebase for personalized prevention of neurodegenerative diseases

C Bi, S Zhou, X Liu, Y Zhu, J Yu, X Zhang, M Shi… - Journal of Advanced …, 2022 - Elsevier
Abstract Introduction Neurodegenerative diseases (NDDs) are a series of chronic diseases,
which are associated with progressive loss of neuronal structure or function. The complex …

Prediction of daily mental stress levels using a wearable photoplethysmography sensor

J Park, J Kim, SP Kim - TENCON 2018-2018 IEEE Region 10 …, 2018 - ieeexplore.ieee.org
In this study, we investigated a feasibility to predict a daily mental stress level from heart rate
variability (HRV) using a photoplethysmography (PPG) sensor in the wristband-type …

[PDF][PDF] The application of intelligent sensors in medical research: a review

Y Zhuang, Y Fu, S Huang, S Gong - BioMed Eng Commun, 2023 - tmrjournals.com
The rapid advancement of biomedicine in the twenty-first century has been facilitated by the
constant innovation in biomedical technology. The most crucial issue in the field of medicine …

HFBD: a biomarker knowledge database for heart failure heterogeneity and personalized applications

H He, M Shi, Y Lin, C Zhan, R Wu, C Bi, X Liu… - …, 2021 - academic.oup.com
Motivation Heart failure (HF) is a cardiovascular disease with a high incidence around the
world. Accumulating studies have focused on the identification of biomarkers for HF …