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24 April 2025 | Story Reuben Maeko | Photo Supplied
Dr Mutshidzi Mulondo
Dr Mutshidzi Mulondo, UFS academic in the Division of Public Health within the Faculty of Health Sciences at the UFS.

Dr Mutshidzi Mulondo, an academic in the Division of Public Health within the Faculty of Health Sciences at the University of the Free State (UFS), will make history when she becomes the first academic from the institution to be inaugurated into the Global Young Academy (GYA).

Dr Mulondo is one of two South Africans that are part of the 2025 cohort of incoming members who will be inaugurated to the sought-after prestigious Academy in Hyderabad, India. The other South African is Dr Mbuzeleni Hlongwa, a Senior Research Specialist at the Human Sciences Research Council.

The Global Young Academy is a network institution of the United Nations Scientific Advisory Board which allows young scientists from around the world to collaborate on research, set the global agenda, and contribute to global policies. The GYA develops, connects and mobilises young talent from six continents, and empowers young researchers to lead international, interdisciplinary and intergenerational dialogue and contribute to societal challenges. The GYA aims to elevate the voice of young scientists in evidence-informed and inclusive global, regional and national decision making.

The membership is comprised of passionate young scientists, typically who obtained their PhD degrees three to 10 years earlier, are between 30 to 40 years of age, and in the early stages of their independent academic careers. Members are selected for their scientific excellence and commitment to engage with society, and serve five-year terms.

 

Global Young Academy

“I feel honoured to be selected. The selection further cements the ingenuity of young African scientists and our ability to shape the global agenda. It allows us to envision a future together which leans towards empathy, kindness and unity,” said Dr Mulondo.

The Academy hopes to bridge the gap between established and new academics as well the gap between academics from the Global North and Global South. Further positioning academics from the south for interdisciplinary collaboration and publication in high impact journals to address complex and emerging challenges such as public health issues. The Academy selects young academics who display contribution to research, dedication to serving society and the ability to make an impact on the Academy’s community.

 

Aspirations in the academy

The recognition is testament that Africa is still producing globally competitive academics. This achievement is even better as it comes during the G20 presidency when Africa is showing what the developing world can produce. Coincidentally, Dr Mulondo, was one of the invited speakers at the G20 Research & Innovation Working Group, joining other selected young academics.

According to Dr Mulondo, who won the Zenith Global Health Award under the category ‘Mental Health and Well-being’ last year and was first runner-up in the category Emerging Leader at the South African Health Excellence Award. Academics from Africa have a responsibility to contribute to the development of the continent through evidence-based advice and solutions to policymakers. This membership allows young academics to stay in touch with global scientific trends and shifts in order to be better informed about resolving some of humanity’s most pressing crises.

She hopes to continue to advance public health strategies that prioritise mental health and health equity. With geopolitical complexities, climate changes and technological advancements shaping our future, the Academy allows for voices from the Global South to contribute to global policies and influence global policy decisions. “As a mentor and supervisor of master’s and PhD students in Public Health, I hope to contribute to ushering in a new generation of well-rounded public health researchers who are societally engaged.”

Prof Anthea Rhoda, UFS Deputy Vice-Chancellor: Academic, congratulated Dr Mulondo, saying the UFS is extremely proud of her. “Being selected as one of two South African scholars to the Global Young Academy demonstrates her dedication as a public health scholar passionate about making a difference in the health and well-being of society. Well done, on this great achievement.”

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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