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24 October 2025 | Story Onthatile Tikoe | Photo Supplied
Residence Committee
From left: Nhlanhla Simelane, outgoing Prime of House Imperium and incoming Prime of Primes for West College; Matiya Mokhoyoa, outgoing Vice-Prime and incoming Prime of Vishuis; Morongoa Tlhoaele, outgoing Vice-Prime of House Imperium and incoming Prime of House Imperium; and Genius Bhila, outgoing Prime of House Imperium. The group participated in the 2024/25 Year-End Conversation talks, reflecting on a year of service, growth, and sustainable impact within the student community.

As the 2024/25 Residence Committees conclude their term, the annual Year-End Conversation talks, hosted by the Department of Housing and Residence Affairs, provided a platform for reflection, recognition, and renewal. The discussions captured the essence of student leadership at the University of the Free State (UFS): a commitment to service, growth, and lasting societal impact.

According to Dr Nokuthula Tlalajoe-Mokhatla, Academic Head and Senior Lecturer in the Division of Student Learning and Development, and Faculty Coordinator for the Faculty Student Council, the year has been one defined by meaningful collaboration. “The best thing that happened this year was when the leadership of House Abraham Fischer-Boetapele extended goodwill to the leadership of House Imperium through intentional outreaches and collaborations,” she shared. “It was a beautiful relationship that words cannot even begin to explain.”

 

Building impact through collaboration

The partnership between the two residences exemplifies the spirit of cooperation that underpins student leadership at the UFS. Their initiatives included impactful community projects, such as hosting cooking demonstrations to create awareness around high salt intake and engaging in plans to host a fun run promoting prostate cancer awareness.

“These projects go beyond fulfilling excellence criteria,” Dr Tlalajoe-Mokhatla explained. “They speak to taking up a responsibility that is bigger than us. Their impact is worth pursuing because they foster a sense of community not only among students but also within society.”

The projects reflect the UFS’s commitment to engaged scholarship, where learning transcends the classroom and contributes to real-world change.

 

Sustainability and long-term vision

To ensure sustainability, the residences have established collaborations with Prof Matthew Benedict from the Department of Family Medicine and Dr Lucia Meko, Head of the Department of Nutrition and Dietetics, who both play vital roles in strengthening the continuity of these health-focused initiatives.

Dr Tlalajoe-Mokhatla also highlighted the valuable contribution of Benedict Mochesela, Residence Head of the Vishuis Residence Council (RC) team. “Credit should be given to Mochesela, as all of the work by the Vishuis RC team happened under his guidance,” she said. “The legacy projects serve as a foundation for continuity. By expanding our partnerships, we ensure that these initiatives grow on a larger scale and remain relevant.”

 

Leadership and lifelong learning

Reflecting on the personal and professional growth of residence leaders, Dr Tlalajoe-Mokhatla highlighted communication, teamwork, and time management as the most notable developments. “Leadership goes beyond showing up for the job you are assigned to do,” she said. “It is a platform to showcase passion, engage communities, and contribute meaningfully to society.”

As new residence councils prepare to take up the mantle, her message is one of openness and adaptability. “Being rigid in your way of doing things stunts growth,” she concluded. “Through collaboration, agility, and kindness, anything is possible.”

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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