Medical Diagnostics

Description

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People

  

  

  

1 of 6

  

  

  

• BANDIT KHAMPOOSA
• CHAKARIDA NUKOOLKIT
• CHAKRIT TACHAAPAIKOON
• CRISTIAN FERNANDO GUAJARDO YEVENES
• DUJDUAN WARAHO

Publications

  

  

  

5 of 13

  

  

  

• ● Diabetic Retinopathy Classification with pre-trained Image Enhancement Model; Wahidullah Mudaser, Praisan Padungweang, Pornchai Mongkolnam, et al.; 2021; Conference proceedings article
• ● Dissociable neural mechanisms in selective attention across different mild cognitive impairment subtype; P. SOOKPRAO, K. BENJASUPAWAN, T. CHOTIBUT, et al.; 2022; Poster
• ● Dissociable neural mechanisms of selective visual information processing underlie the effects of attention on visual appearance and response bias; Sirawaj Itthipuripat, Preawpiraya Wiwatphonthana, Kai-Yu Chang, et al.; 2021; Poster
• ● Dissociable Neural Mechanisms Underlie the Effects of Attention on Visual Appearance and Response Bias; Sirawaj Itthipuripat, Tanagrit Phangwiwat, Praewpiraya Wiwatphonthana, et al.; 2023; Journal article
• ● Dissociable neural mechanisms underlying selective attention, perceptual difficulty, and global cognitive factors; Prapasiri Sawetsuttipan, Phond Phunchongharn, Kajornvut Ounjai, et al.; 2023; Poster

Projects

  

  

  

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• ● Detection of miRNA biomarker for Diabetic nephropathy based on electrochemical method ; PATSAMON RIJIRAVANICH - Sensor Technology Laboratory
• ● Development of Biopharmaceutical Characterization laboratories for the analysis of biologics and vaccines which comply to international standard ; SUCHADA CHAISAWADI - Pilot Plant Development and Training Institute
• ● Development of Biopharmaceutical characterization laboratories for the analysis of biologics and vaccines which comply to international standard; SUCHADA CHAISAWADI - Process and Environmental Analysis Center
• ● Development of glycated hemoglobin (HbA1c) detection using quartz crystal microbalance (QCM); SARAWUT CHEUNKAR - School of Bioresources and Technology
• ● Development of glycated protein detection for diabetes monitoring using electrochemical impedance spectroscopy; SARAWUT CHEUNKAR - School of Bioresources and Technology