Development of an iOS application leveraging PalmSens MethodSCRIPT for rapid COVID-19 detection

• Main Authors: Yamanaka, Kosei, Gunawan, Teddy Surya, Nordin, Anis Nurashikin, Ab Rahim, Rosminazuin, Mohd Zain, Zainiharyati, Nur, Levy Olivia
• Format: Proceeding Paper
• Language: English; English
• Published: IEEE 2023
• Subjects: TK7885 Computer engineering
• Online Access: http://irep.iium.edu.my/110158/1/110158_Development%20of%20an%20iOS%20application.pdf; http://irep.iium.edu.my/110158/7/110158_Development%20of%20an%20iOS%20application_SCOPUS.pdf; http://irep.iium.edu.my/110158/; https://ieeexplore.ieee.org/abstract/document/10373427
• Institution: Universiti Islam Antarabangsa Malaysia

In light of the ongoing challenges posed by COVID-19 and the need for rapid diagnostic tools, we migrated our electrochemical potentiostat-based diagnostic tool from a desktop application to an iOS platform that is more portable and accessible. Our primary goal was to improve portability, enhance th...