Latest News Archive

Please select Category, Year, and then Month to display items

Prof Martin Nyaga champions Africa’s scientific leadership at the AAS Summit in Ghana

18 August 2025 | Story Somila Nazo | Photo Supplied

Prof Martin Nyaga, one of Africa’s foremost experts in genomics and global health, recently delivered a powerful call for Africa’s leadership in global science at the African Academy of Sciences (AAS) Summit in Accra, Ghana.

As Head of the Next Generation Sequencing (NGS) Unit at the University of the Free State (UFS) and Director of the WHO Collaborating Centre for Vaccine Preventable Diseases Surveillance and Pathogen Genomics, Prof Nyaga urged the scientific community to recognise Africa not just as a participant in global research, but as a driver of innovation and change.

A summit of vision and collaboration

Themed Unpacking the Pact for the Future: Imperatives for Advancing Scientific Cooperation with Africa, the summit took place from 2 – 4 July 2025. Hosted by the AAS in partnership with the African Union, the Government of Ghana, the University of Ghana, and other global partners, the summit brought together leading scientists, policymakers, and international stakeholders to discuss Africa’s role in shaping the future of global science, research and innovation.

The event was attended by high-level dignitaries, including the President of Ghana, His Excellency John Dramani Mahama, and the former President of Nigeria, His Excellency Olusegun Obasanjo – a clear indication of strong political will to prioritise science, health and innovation across the continent.

Advancing Africa’s voice in global health

On 2 July 2025, Prof Nyaga delivered his keynote address, Advances, Opportunities and Priorities for Global Health in Africa. He highlighted Africa’s growing capabilities in genomics and public health, underscoring the opportunities for scientific leadership.

Following his address, he joined an expert panel with representatives from Tanzania, Ghana and Nigeria to discuss strategies for advancing scientific cooperation in global health. His contributions focused on: strengthening research collaborations; building capacity within Africa; increasing African ownership in health innovations, and enhancing the translation of research into policy and practice.

Prof Nyaga also used the platform to spotlight the work of the UFS Next Generation Sequencing (UFS-NGS) Unit. As a WHO Collaborating Centre, the unit plays a critical role in pathogen tracking, monitoring vaccine-preventable diseases, and supporting public health preparedness across Africa and beyond.

“This engagement provided an opportunity to highlight the impactful research from the UFS-NGS Unit – not only in academic publications, but in demonstrating tangible public health benefits to policy makers,” said Prof Nyaga. “It elevated the University of the Free State’s standing as a leader in genomic science, while opening new opportunities for collaboration for South Africa and the continent. Our research priorities are increasingly shaping global health and innovation agendas.”

From Ghana to the G20

The outcomes of the summit will feed into a communiqué to be presented at the 2025 G20 Summit, to be hosted by South Africa. Prof Nyaga’s thought leadership ensures that Africa’s scientific voice - and South Africa’s research priorities - will be represented at one of the world’s most influential multilateral platforms.

For more information about UFS partnerships in Africa, contact the Office for International Affairs at partnerships@ufs.ac.za.

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.

Back

Economic and Management Sciences

Education

Health Sciences

The Humanities

Law

Natural and Agricultural Sciences

Theology and Religion

Open Distance Learning

Business School

We use cookies to make interactions with our websites and services easy and meaningful. To better understand how they are used, read more about the UFS cookie policy. By continuing to use this site you are giving us your consent to do this.

Accept