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13 May 2025 | Story André Damons | Photo Supplied
Prof Martin Nyaga
Prof Martin Nyaga, Full Professor in the Division of Virology and Head of the Next Generation Sequencing Unit (UFS-NGS Unit) at the University of the Free State.

Prof Martin Nyaga, an NRF B-Rated Full Professor in the Division of Virology and Head of the Next Generation Sequencing (UFS-NGS) Unit at the University of the Free State (UFS), has been selected as one of the cohort II fellows of the prestigious Calestous Juma Science Leadership Fellowship

Prof Nyaga, who is one of 12 individuals from six African countries (Ethiopia, Ghana, Kenya, Malawi, South Africa, and Zambia) selected to this cohort, says he is profoundly honoured. Through the prestigious fellowship, inspired by Professor Juma’s visionary legacy, he envisions advancing Africa’s capacity to combat infectious diseases by developing robust, mNGS-based surveillance systems that detect and characterise emerging pathogens early enough.

“The opportunity to join a cohort of exceptional African scientists, united by a shared commitment to addressing global health challenges, is both humbling and inspiring. I feel a deep sense of responsibility to uphold the fellowship’s mission of fostering sustainable development through cutting-edge research and policy engagement, particularly in the context of my work on genomic disease surveillance. 

“I am deeply inspired by Professor Calestous Juma’s legacy of harnessing science for sustainable development, and I am committed to embodying his optimism and interdisciplinary approach. The fellowship represents a transformative platform to advance scientific innovation and leadership in Africa. I would like to extend my gratitude to the Gates Foundation for this opportunity, and I look forward to contributing to a transformative era of African scientific leadership,” says Prof Nyaga.

 

Advantages of the Fellowship

The Calestous Juma Science Leadership Fellowship focuses on bringing together accomplished innovators to form a community of global health opinion shapers and influencers. The programme provides targeted professional development to support fellows as they expand their networks, amplify their voices, and continue to build and strengthen a dynamic, resilient research & development (R&D) ecosystem that changes the lives of people living not only in Africa but around the world.

Among the new cohort are experts in virology (including HIV and rota), bacteriology (including TB and strep), immunology, malaria, modelling, maternal immunisation, epidemiology, chemistry, drug discovery and development, vaccine discovery, clinical trials, and controlled human infection models to name just a few examples. 

According to Prof Nyaga, Director of a WHO Collaborating Centre for Vaccine Preventable Diseases (VPD) Surveillance and Pathogen Genomics, selection for the Fellowship is a rigorous and competitive process, designed to identify African scientists with exceptional research portfolios and leadership potential. Candidates are typically invited based on their established track record in transformative science, as well as their ability to anchor health and R&D initiatives within their communities. Successful applicants are evaluated for their scientific excellence, interdisciplinary networks, and commitment to mentoring the next generation of African scientists, aligning with the fellowship’s holistic view of leadership.

The NRF B3-rated scientist says he is eager to engage with the fellowship’s vibrant community of scientists from multiple African countries, fostering collaborations that amplify our collective impact on global health. He anticipates benefiting from the fellowship’s non-scientific training in communication, policy engagement, and institution strengthening. Participating in networking opportunities will broaden his perspectives and strengthen his capacity to drive innovative solutions in Africa’s genomic R&D ecosystem.

“I believe my work in pathogen surveillance research using genomics, aligns closely with the fellowship's objectives. As a fellow, I bring a wealth of experience in leading multi-country projects, establishing regional collaborations, and fostering capacity development through training and mentorship. 

“In addition, my ongoing work at the UFS-NGS Unit, including projects on enteric and respiratory virus surveillance, vaccine monitoring and efficacy using next generation sequencing, which will enrich discussions on public health. Conversely, the fellowship will enhance my scientific development by providing advanced training in leadership and policy advocacy, enabling me to translate research findings into actionable health policies. This synergy will elevate my capacity to lead transformative R&D initiatives and mentor future African scientists.” 

 

Contributing to the betterment of people 

Prof Nyaga believes his research on vaccine efficacy and metagenomics of gut and respiratory virome will contribute to the betterment of not only Africans, but also people around the world by informing targeted interventions in vaccine efficacy monitoring and development. This research will also contribute to the reduction of morbidity and mortality applicable to enteric and respiratory infections in vulnerable populations. 

Furthermore, he explains, the fellowship’s emphasis on networking and policy engagement will amplify these efforts, enabling him to advocate for evidence-based health policies across Africa. Globally, their collective work as Calestous Juma Science Leadership fellows will strengthen the R&D ecosystem, fostering innovation that addresses pandemic preparedness and other health challenges. By building resilient scientific communities, the fellowship will contribute to sustainable development, improving lives in Africa and beyond.

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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