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New partnership set to boost research into African Indigenous spirituality at UFS

26 March 2025 | Story Edzani Nephalela | Photo Lethabo Machabaphala

Theology MOU 2025 — Prof Zorodzai Dube, Head of the Department of Religion Studies at the UFS, and Thabo Seotsanyana, representative for the African Centre of Excellence, formalised a collaboration to advance research into African spirituality.

The University of the Free State (UFS) Faculty of Theology and Religion recently made history as the first institution to partner with the African Centre of Excellence in a significant collaboration advancing research and education on African indigenous spirituality.

This partnership is set to foster a deeper understanding of African indigenous knowledge, highlighting its importance and addressing misconceptions about its practices.

The Memorandum of Understanding (MoU) signed between the parties outlines the facilitation of joint research and teaching initiatives. According to Prof Zorodzai Dube, Head of the Department of Religion Studies at the UFS, the MoU will provide UFS students with the unique opportunity to engage with African indigenous knowledge systems, particularly those related to herbs, healthcare, and traditional healing practices.

“The collaboration aims to enrich the students’ academic experience and provide them with critical insights into African indigenous spirituality,” Prof Dube said. “Furthermore, this partnership is seen as a key step toward furthering UFS’s vision to become a leading institution in research, including Africanisation and pan-African research.” He added that the faculty views this collaboration as a springboard for strengthening its position as a leader in addressing Africa-related issues in education and research.

Significance of this partnership

Thabo Seotsanyana, Curriculum Developer for the African Centre of Excellence, emphasised that this partnership will challenge long-standing misconceptions about African spirituality while fostering a deeper appreciation for its value and relevance in contemporary society. “This collaboration is a landmark event for several reasons. It emphasises the importance of African indigenous spirituality in academic discourse and provides a platform for decolonising knowledge systems.”

In his address, Seotsanyana highlighted that the African Hidden Voices is committed to transforming mindsets, particularly within African nations. He spoke about how generations have been influenced by ideologies that dismiss African spiritual practices in favour of foreign belief systems, and how this partnership aims to reverse that trend.

“We are delighted to be signing a Memorandum of Understanding with one of the most highly regarded institutions in South Africa,” Seotsanyana shared, reading a message from Imboni Dr uZwi-Lezwe Radebe, founder of African Hidden Voices. “This marks a significant milestone in our history that will be remembered for years.”

Impact on future generations

Seotsanyana highlighted that the organisation is dedicated to educating individuals about African spirituality, fostering African leadership, and embracing traditional African ways of life.

“Our mission is to nurture a new generation that understands, values, and actively engages with African spirituality,” he explained. “This initiative marks a significant step in the academic exploration and preservation of African indigenous spirituality. It aims to leave a lasting legacy that inspires future generations to reconnect with their heritage, challenge outdated views, and adopt an inclusive, spiritually enriched way of life. This aligns with the University of the Free State’s Vision 130, which promotes inclusivity and ethical values, ensuring that everyone feels represented, welcomed, and has access to the university’s resources.”

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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