Research Associate |PhD Candidate, Australian National University
Busayo has a background in medical microbiology, during which time research endeavours evolved on the epidemiology of enterohaemorrhagic Escherichia coli O157:H7, a major foodborne pathogen that causes severe disease in humans. Experimental laboratory-based research into medical microbiology has now moved in silico, with the application of systems biology/bioinformatics strategies — particularly machine learning (pattern recognition) algorithms, to fundamental infectious disease and population health problems, with specific interest in hepatitis B virus (HBV). Busayo currently studies for a PhD at the Australian National University, and his research involves the elucidation of biomarker patterns in complex clinical data, to allow for early detection of HBV infection in vulnerable populations, without resort to second-tier testing, such as specialised immunoassays. He also investigates the development of pattern recognition algorithms to monitor the persistence of HBV in patients.
What machine learning can offer Nigeria's healthcare system
Jul 24, 2021 07:00 am UTC| Technology
Imagine its 2030 and a typical day in a Nigerian healthcare setting. In earlier decades, when a patient walked in, they could see piles of folders and a clutter of pens scattered all over the office. Theyd have a long...
A sustainable future begins at ground level
Canada needs a national strategy for homeless refugee claimants
An eclipse for everyone – how visually impaired students can ‘get a feel for’ eclipses