Improving specificity in Loop Mediated Amplification (LAMP) Diagnostic using Machine Learning

Allbwn ymchwil: Cyfraniad at gynhadleddPapuradolygiad gan gymheiriaid

Crynodeb

This abstract presents a novel approach to improving the specificity in RT-LAMP reaction outcomes. LAMP costs can be significantly lower than PCR. However, it does suffer from a higher false positive rate. Achieving comparable specificity and sensitivity would contribute a step closer toward the democratization of molecular diagnostics for wide range of viral and bacterial pathogens. In this preliminary study, we show that by using an algorithmic approach it is possible to significantly improve specificity when compared to the conventional presence/absence of reaction based method.
Iaith wreiddiolSaesneg
Nifer y tudalennau1
StatwsWedi’i dderbyn/Yn y wasg - 3 Mai 2022
Digwyddiad IEEE Engineering in Medicine and Biology Society: 44th Annual International Conference - UK, Glasgow
Hyd: 11 Jul 202215 Jul 2022
Rhif y gynhadledd: 44
https://embc.embs.org/2022/

Cynhadledd

Cynhadledd IEEE Engineering in Medicine and Biology Society
Teitl crynoEMBC 2022
DinasGlasgow
Cyfnod11/07/2215/07/22
Cyfeiriad rhyngrwyd

Ôl bys

Gweld gwybodaeth am bynciau ymchwil 'Improving specificity in Loop Mediated Amplification (LAMP) Diagnostic using Machine Learning'. Gyda’i gilydd, maen nhw’n ffurfio ôl bys unigryw.

Dyfynnu hyn