Journal Articles
Sikulu-Lord, Maggy T., Edstein, Michael D., Goh, Brendon, Lord, Anton R., Travis, Jye A., Dowell, Floyd E., Birrell, Geoffrey W. and Chavchich, Marina (2024). Rapid and non-invasive detection of malaria parasites using near-infrared spectroscopy and machine learning. PLoS One, 19 (3) e0289232, 1-18. doi: 10.1371/journal.pone.0289232
Goh, Brendon, Visendi, Paul, Lord, Anton R., Ciocchetta, Silvia, Liu, Wenjun and Sikulu-Lord, Maggy T. (2022). First report of the detection of DENV1 in human blood plasma with near-infrared spectroscopy. Viruses, 14 (10) 2248, 2248. doi: 10.3390/v14102248
Goh, Brendon, Ching, Koek, Soares Magalhães, Ricardo J., Ciocchetta, Silvia, Edstein, Michael D., Maciel-de-Freitas, Rafael and Sikulu-Lord, Maggy T. (2021). The application of spectroscopy techniques for diagnosis of malaria parasites and arboviruses and surveillance of mosquito vectors: A systematic review and critical appraisal of evidence. PLoS Neglected Tropical Diseases, 15 (4) e0009218, 1-24. doi: 10.1371/journal.pntd.0009218
Conference Papers
Goh, Brendon, Visendi, Paul, Ciocchetta, Silvia, Soares, Ricardo, Liu, Wenjun and Lord, Maggy (2022). In vitro detection of dengue 1 virus in human whole blood, plasma, and serum with nearinfrared spectroscopy. American Society of Tropical Medicine and Hygiene 2022 Annual Meeting, Seattle, WA, United States, October 30 - November 3, 2022. Arlington, VA United States: American Society of Tropical Medicine and Hygiene.
Sikulu-Lord, Maggy, Lord, Anton Richard, Goh, Brendon, Travis, Jye, Birrell, Geoffrey W., Chavchich, Marina, Harris, Ivor E., Mcleod-Robertson, Stephen, Kent, Anthony, Vanbreda, Karin and Edstein, Michael D. (2021). The near-infrared spectroscopy technique can non-invasively detect malaria parasites through the skin of mice. ASTMH Annual Meeting, Virtual, 17-21 November 2021. Deerfield, IL, United States: American Society of Tropical Medicine and Hygiene. doi: 10.4269/ajtmh.abstract2021
Thesis
Goh, Brendon (2024). Detection of malaria and arboviruses with spectroscopy and machine learning techniques. PhD Thesis, School of the Environment, The University of Queensland. doi: 10.14264/6b6d936