About: Developments in Transduction, Connectivity and AI/Machine Learning for Point-of-Care Testing

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Developments in Transduction, Connectivity and AI/Machine Learning for Point-of-Care Testing
Creator	Scott, Simon Kim, Brian Abdolvand, Reza Ali, Zulfiqur Holzinger, Andreas Jiang, Xiaoyi Mansoorzare, Hakhamanesh Moradian, Sina Baca, Justin Sajid, Mohammed O'sullivan, Shane Plácido Da Silva, Hugo
Source	Medline; PMC
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.
has issue date	2019-04-23(xsd:dateTime)
bibo:doi	10.3390/s19081917
bibo:pmid	31018573
has license	cc-by
sha1sum (hex)	85d9c134bccd818e9487193754d8c71a710161d6
schema:url	https://doi.org/10.3390/s19081917
resource representing a document's title	Developments in Transduction, Connectivity and AI/Machine Learning for Point-of-Care Testing
has PubMed Central identifier	PMC6515310
has PubMed identifier	31018573
schema:publication	Sensors (Basel)
resource representing a document's body	covid:85d9c134bccd818e9487193754d8c71a710161d6#body_text
is schema:about of	named entity 'Transduction' named entity 'TRANSDUCTION' named entity 'OVERVIEW' named entity 'TRANSDUCTION' named entity 'POINT-OF-CARE TESTING' named entity 'RECENT' named entity 'COMMUNICABLE DISEASES' named entity 'MOBILE PHONES' named entity 'TERMS' named entity 'CLINICAL' named entity 'LEARNING' named entity 'DEVELOPMENTS' named entity 'DIAGNOSTICS' named entity 'MICROFLUIDIC' named entity 'DESCRIBE' named entity 'MIDDLE' named entity 'TRENDS' named entity 'CONNECTIVITY' named entity 'DEVICE' named entity 'HARDWARE' named entity 'PORTABLE' named entity 'POINT-OF-CARE TESTING' named entity 'RESPECT' named entity 'CHIP' named entity 'USE OF' named entity 'METHODOLOGIES' named entity 'PATIENT NEED FOR' named entity 'SYSTEMS' named entity 'POTENTIAL' named entity 'LAB' named entity 'DEEP LEARNING' named entity 'DATA' named entity 'METHODS' named entity 'DEVELOPMENTS' named entity 'INCOME' named entity 'NON-' named entity 'NOVEL' named entity 'COMPONENTS' named entity 'REVIEW' named entity 'DESCRIBED' named entity 'COUNTRIES' named entity 'VALUE' named entity 'APPLICABLE' named entity 'DEVELOPED COUNTRIES' named entity 'INFECTIOUS' named entity 'LOWER' named entity 'LEARNING' named entity 'IMPORTANT' named entity 'INCLUDING' named entity 'CONNECTIVITY' named entity 'DATA STRUCTURES' named entity 'MACHINE LEARNING' named entity 'deep learning' named entity 'terms' named entity 'photonic' named entity 'Machine learning' named entity 'deep learning' named entity 'hardware components' named entity 'POCT' named entity 'LED' named entity 'National Health Institute' named entity 'medical professionals' named entity 'biomarkers' named entity 'urine' named entity 'POCT' named entity 'autoimmune' named entity 'Bluetooth' named entity 'blood cultures' named entity 'medical care' named entity 'particle confinement'

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