Application of artificial intelligence in electrochemical diagnostics for human health
Abstract Electrochemical sensors, detecting biochemical changes through electrical signals, play a pivotal role in point-of-care diagnostics, especially for detecting specific biomarkers for diseases including cancer, diabetes, obesity, cardiovascular conditions, etc. Biosensor based technology face...
Saved in:
| Main Authors: | Koushlesh Ranjan, Basanti Barar, Minakshi Prasad, Gaya Prasad |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-08-01
|
| Series: | Discover Electrochemistry |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44373-025-00042-w |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Artificial intelligence enhanced electrochemical immunoassay for staphylococcal enterotoxin B
by: Yuliang Zhao, et al.
Published: (2025-06-01) -
Artificial intelligence in psychiatric diagnosis: challenges and opportunities in the era of machine learning
by: Kirolos Eskandar
Published: (2024-09-01) -
An Artificial Intelligence Pipeline for Hepatocellular Carcinoma: From Data to Treatment Recommendations
by: Zhang X, et al.
Published: (2025-07-01) -
Artificial intelligence optimizes the standardized diagnosis and treatment of chronic sinusitis
by: Yang-Yang Liu, et al.
Published: (2025-03-01) -
Artificial intelligence and machine learning in modern cardiology: Advancements in diagnosis, treatment and patient monitoring
by: Szymon Kopciał, et al.
Published: (2025-05-01)