Latest News Archive

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

UFS and DSTI host the 2025 G20 research working group and bioeconomy meetings

23 February 2025 | Story André Damons | Photo Supplied

UFS Main Building — The University of the Free State in partnership with the Department of Science, Technology and Innovation (DSTI), will form the backdrop for the G20 Research and Innovation Working Group (RIWG) and G20 Initiative on Biochemistry (GIB) meetings in February.

The University of the Free State (UFS) will form the backdrop for the G20 Research and Innovation Working Group (RIWG) and G20 Initiative on Bioeconomy (GIB) meetings on 23 and 24 February 2024.

UFS has, over the years, distinguished itself as a leader in the research and development, particularly in the biodiversity space through its African Medicines, Innovations and Technologies Development (AMITD) platform, which was established in collaboration with the Department of Science, Technology and Innovation (DSTI) and its entity, the Technology Innovation Agency. It was therefore an obvious choice for the institution to again partner with the DSTI to host the G20 meetings.

The G20 is an international forum comprising many of the world's largest developing and developed economies, established to tackle pressing global economic and financial issues.

South Africa holds the G20 Presidency this year – only five years before the UN's 2030 Agenda for Sustainable Development deadline. This is the first time the G20 is being hosted on African soil.

South Africa's presidency takes place when the world is facing a series of overlapping and mutually reinforcing crises, including climate change, underdevelopment, inequality, poverty, hunger, unemployment, technological changes, and geopolitical instability.

The G20 RIWG provides a platform for addressing global challenges through research, technology and innovation. The DSTI will lead the RIWG under the leadership of Minister Blade Nzimande and explore this year's theme, "Equity in science and innovation-based approaches to sustainable development".

Prof Nzimande, along with Prof Hester Klopper, Vice-Chancellor and Principal of UFS, will both deliver opening remarks at the meeting.

The session on 23 February will be the first to include G20 officials engaging with indigenous knowledge holders, students and researchers in the bioeconomy.

Prof Motlalepula Matsabisa, Director of the Department of Pharmacology and AMITD at UFS, says the university was an excellent choice to host the sessions because of its trusted relationships with indigenous communities and focus on inclusive research and development.

The G20 dialogues aim to be inclusive and provide a space for members of the public to voice their aspirations and to capture their needs around the indigenous knowledge and biodiversity in which they play an integral role.

"I am honoured to be part of this global event. I am so happy that AMITD is now globally recognised. We will exhibit our research conducted with communities on the internationalisation of South African science research in traditional medicines and biodiversity, and its formal commercialisation," said Prof Matsabisa.

"We are the leader in traditional medicines research and development.

"South Africa always leads in global debates and sets the stage for African views to be heard. We will contribute to policies on global biodiversity and bioeconomy and commercialisation of our natural resources through equity, sustainability and solidarity.

Prof Matsabisa believes this event will also highlight the goals of the DSTI's 2019 White Paper on Science, Technology and Innovation and the implementation of its 2022-2032 Decadal Plan.

He hopes to see tangible and meaningful outcomes from the G20 discussions that will be implemented by the USA when it takes over the G20 Presidency for 2026.

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