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18 March 2021 | Story Leonie Bolleurs
Famelab
Abdullahi Jamiu, who is working on his master's degree in Microbiology, was adjudicated as the FameLab winner at the Central Regional Heat and will represent the region at the national semi-finals.

Abdullahi Jamiu, who is working on his master's degree in Microbiology in the Department of Microbiology and Biochemistry at the University of the Free State (UFS), was recently announced as the FameLab winner at the Central Regional Heat and will represent the region at the national semi-finals.

Abdullahi, who plans on pursuing a doctoral degree after his master’s, says he wants to establish himself as an academic in microbiology.

Making science simple
He says he decided to participate in the FameLab competition because he is very passionate about communicating science. “Science communication affords me the opportunity to not only take my research outside of the lab space, but also to communicate it to the lay audience. Moreover, science is often perceived by the general public as difficult and unfathomable. As such, science communication programmes promote the simplification and better understanding of scientific knowledge in the community,” he says.

FameLab is coordinated by the South African Agency for Science and Technology Advancement, the British Council, and Jive Media Africa.

According to Abdullahi, the experience was mind-blowing. “It gave me the opportunity to compress my 200-page master's thesis into a three-minute talk in a way I had never thought was possible. Having to present virtually and adjust to the ‘new normal’ was quite challenging,” he adds.

“The overall experience was enlightening and engaging, and at the same time entertaining,” says Abdullahi.

Impressing the judges with his charisma, engagement with the audience, and use of props, Abdullahi’s presentation focused on how the exploration and exploitation of a ‘combination therapy’ approach to drug discovery could help to effectively combat fungal infections, which are the common comorbidities in immune-compromised individuals, including those living with HIV, cancer, and COVID-19.

Revealing an enigma
His fascination with microbiology started at a young age. “How very tiny, microscopic creatures, invisible to the unaided eye, are able to infect and sometimes kill both healthy and immune-compromised individuals, was an enigma to me as a little boy. My desire to unravel this mystery triggered my interest in microbiology, and the more I learn, the more enthusiastic I become to broaden my horizon in this challenging yet exciting field of study,” he says.

Abdullahi would like to one day make a difference by conducting relevant research aimed at contributing to finding lasting solutions to the lingering menace posed by pathogenic microbes. “Moreover, I am very passionate about facilitating the transfer of scientific knowledge to the next generation,” Abdullahi concludes.

News Archive

Mathematical methods used to detect and classify breast cancer masses
2016-08-10

Description: Breast lesions Tags: Breast lesions

Examples of Acho’s breast mass
segmentation identification

Breast cancer is the leading cause of female mortality in developing countries. According to the World Health Organization (WHO), the low survival rates in developing countries are mainly due to the lack of early detection and adequate diagnosis programs.

Seeing the picture more clearly

Susan Acho from the University of the Free State’s Department of Medical Physics, breast cancer research focuses on using mathematical methods to delineate and classify breast masses. Advancements in medical research have led to remarkable progress in breast cancer detection, however, according to Acho, the methods of diagnosis currently available commercially, lack a detailed finesse in accurately identifying the boundaries of breast mass lesions.

Inspiration drawn from pioneer

Drawing inspiration from the Mammography Computer Aided Diagnosis Development and Implementation (CAADI) project, which was the brainchild Prof William Rae, Head of the department of Medical Physics, Acho’s MMedSc thesis titled ‘Segmentation and Quantitative Characterisation of Breast Masses Imaged using Digital Mammography’ investigates classical segmentation algorithms, texture features and classification of breast masses in mammography. It is a rare research topic in South Africa.

 Characterisation of breast masses, involves delineating and analysing the breast mass region on a mammogram in order to determine its shape, margin and texture composition. Computer-aided diagnosis (CAD) program detects the outline of the mass lesion, and uses this information together with its texture features to determine the clinical traits of the mass. CAD programs mark suspicious areas for second look or areas on a mammogram that the radiologist might have overlooked. It can act as an independent double reader of a mammogram in institutions where there is a shortage of trained mammogram readers. 

Light at the end of the tunnel

Breast cancer is one of the most common malignancies among females in South Africa. “The challenge is being able to apply these mathematical methods in the medical field to help find solutions to specific medical problems, and that’s what I hope my research will do,” she says.

By using mathematics, physics and digital imaging to understand breast masses on mammograms, her research bridges the gap between these fields to provide algorithms which are applicable in medical image interpretation.

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