Recent Progress in Biosensors for Depression Monitoring—Advancing Personalized Treatment DOI Creative Commons

Jiaju Yin,

Xinyuan Jia,

Haorong Li

et al.

Biosensors, Journal Year: 2024, Volume and Issue: 14(9), P. 422 - 422

Published: Aug. 30, 2024

Depression is currently a major contributor to unnatural deaths and the healthcare burden globally, patient's battle with depression often long one. Because causes, symptoms, effects of medications are complex highly individualized, early identification personalized treatment key improving outcomes. The development wearable electronics, machine learning, other technologies in recent years has provided more possibilities for realization this goal. Conducting regular monitoring through biosensing technology allows comprehensive objective analysis than previous self-evaluations. This includes identifying depressive episodes, distinguishing somatization analyzing etiology, evaluating effectiveness programs. review summarizes research on depression. Special attention given that can be portable or wearable, potential enable patient use outside hospital, periods.

Language: Английский

Innovative electrochemical sensor design for carcinogenic antioxidant detection: Bimetallic phosphate nanoparticles decorated on reduced graphene oxide nanosheets DOI

Santhiyagu Sahayaraj Rex Shanlee,

Vinitha Mariyappan, Shen‐Ming Chen

et al.

Food Chemistry, Journal Year: 2025, Volume and Issue: 475, P. 143340 - 143340

Published: Feb. 10, 2025

Language: Английский

Citations

0
Recent Progress in Biosensors for Depression Monitoring—Advancing Personalized Treatment DOI Creative Commons

Jiaju Yin,

Xinyuan Jia,

Haorong Li

et al.

Biosensors, Journal Year: 2024, Volume and Issue: 14(9), P. 422 - 422

Published: Aug. 30, 2024

Depression is currently a major contributor to unnatural deaths and the healthcare burden globally, patient's battle with depression often long one. Because causes, symptoms, effects of medications are complex highly individualized, early identification personalized treatment key improving outcomes. The development wearable electronics, machine learning, other technologies in recent years has provided more possibilities for realization this goal. Conducting regular monitoring through biosensing technology allows comprehensive objective analysis than previous self-evaluations. This includes identifying depressive episodes, distinguishing somatization analyzing etiology, evaluating effectiveness programs. review summarizes research on depression. Special attention given that can be portable or wearable, potential enable patient use outside hospital, periods.

Language: Английский

Citations

1