Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz

Gewählte Publikation:

SHR Neuro Krebs Kardio Lipid

O'Sullivan, S; Ali, Z; Jiang, X; Abdolvand, R; Ünlü, MS; Silva, HPD; Baca, JT; Kim, B; Scott, S; Sajid, MI; Moradian, S; Mansoorzare, H; Holzinger, A.
Developments in Transduction, Connectivity and AI/Machine Learning for Point-of-Care Testing.
SENSORS-BASEL. 2019; 19(8): [OPEN ACCESS]
Web of Science PubMed PUBMED Central FullText FullText_MUG

 

Autor/innen der Med Uni Graz:
Holzinger Andreas
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Number of Figures: 9
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Abstract:
We review some emerging trends in transduction, connectivity and data analytics for Point-of-Care Testing (POCT) of infectious and non-communicable diseases. The patient need for POCT is described along with developments in portable diagnostics, specifically in respect of Lab-on-chip and microfluidic systems. We describe some novel electrochemical and photonic systems and the use of mobile phones in terms of hardware components and device connectivity for POCT. Developments in data analytics that are applicable for POCT are described with an overview of data structures and recent AI/Machine learning trends. The most important methodologies of machine learning, including deep learning methods, are summarised. The potential value of trends within POCT systems for clinical diagnostics within Lower Middle Income Countries (LMICs) and the Least Developed Countries (LDCs) are highlighted.

Find related publications in this database (Keywords)
POCT
deep learning
artificial intelligence
photonics
mobile phone
microfluidics
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