Highly sensitive lab-on-chip with deep learning AI for detection of bacteria in water

Author:

Nehal Shaikh AfzalORCID,Roy Debpriyo,Devi Manju,Srinivas T.

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Information Systems

Reference17 articles.

1. Intel (2018) AI-driven test system detects bacteria in water. AI Academy. https://software.intel.com/en-us/articles/ai-driven-test-system-detects-bacteria-in-water

2. Intel (2018) See how AI can identify dangerous bacteria in water supplies. AI News. https://artificialintelligence-news.com/2018/05/30/see-how-ai-can-identify-dangerous-bacteria-in-water-supplies

3. Mitchell J (2017) Researchers use artificial intelligence to identify bacteria quickly and accurately. Medical Xpress. https://www.infectioncontroltoday.com/clinical-lab/researchers-use-artificial-intelligence-identify-bacteria-quickly-and-accurately

4. Wei F, Patel P, Liao W, Chaudhry K, Zhang L, Arellano-Garcia M, Hu S, Elashoff D, Zhou H, Shukla S, Shah F, Ho C-M, Wong DT (2009) Electrochemical sensor for multiplex biomarkers detection. Clin Cancer Res 15(13):4446–4452

5. Römhildt L, Pahlke C, Zörgiebel F, Braun H-G, Opitz J, Baraban L, Cuniberti G (2013) Patterned biochemical functionalization improves aptamer-based detection of unlabeled thrombin in a sandwich assay. ACS Appl Mater Interfaces 5(22):12029–12035

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