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16 April 2020 | Story Department of Communication and Marketing | Photo Charl Devenish
Farmovs
In 2019, FARMOVS was pre-qualified by the WHO to support clinical studies aimed at improving access to quality generic medicines across the globe.

The University of the Free State (UFS) is committed to supporting government’s efforts to overcome the COVID-19 pandemic. During this challenging time, dedicated staff members at the UFS continue to provide services as a testimony to their commitment to advance public knowledge of COVID-19 for the greater good of South Africa.

The following is a synopsis of the areas in which the UFS is actively assisting.

Public Health Emergency Solidarity Trial
Clinicians from the Department of Internal Medicine, the Department of Critical Care, and the Division of Virology will be working with FARMOVS to participate in the Public Health Emergency Solidarity Trial initiated by the World Health Organization (WHO). This international randomised trial will evaluate four treatment options (remdesivir, lopinavir/ritonavir, lopinavir/ritonavir plus interferon, chloroquine or hydroxychloroquine) for the treatment of COVID-19. 

The trial is expected to include more than 45 countries worldwide, including a number of South African sites. 

Farmovs

FARMOVS is in a planning process to support all the Bloemfontein hospitals, including Pelonomi, Universitas, 3 Military Hospital, Mediclinic, and Rosepark, in conducting the largest global trial on COVID-19 – the Public Health Emergency Solidarity Trial, under leadership of the WHO.   

Negotiations are ongoing between the UFS and the Department of Health in the Free State for FARMOVS to offer support with the continuation of healthcare to non-COVID-19 patients in an attempt to free up space at Universitas Hospital for isolation of COVID-19 patients. 

In 2019, FARMOVS was pre-qualified by the WHO to support clinical studies aimed at improving access to quality generic medicines across the globe.  FARMOVS also receives feasibility requests for support with the evaluation of existing drugs (repurposing) as well as the development of novel drugs for the treatment of COVID-19 – this is an ongoing process.

Disaster Management Training and Education Centre (DiMTEC)
DiMTEC represents the UFS on the Provincial Joint Operation Centre (PROVJOC). The PROVJOC is a fully equipped, dedicated facility that is proactively established to enable all relevant role players /disciplines to jointly manage all safety and security-related aspects of any planned event or any major incident which has occurred or is imminent – especially in the response and recovery operations phase – at the strategic and/or tactical level, using the Unified Command System. This facility is also linked to all other established safety and security centres.

Research and Innovation
The UFS hosts a SARChI Research Chair in vector-borne and zoonotic diseases, and recently invested in the establishment of a biosafety level-3 facility. Hence, there is expertise on the campus to plan and conduct research on zoonotic and medically significant viruses. In addition, there are research groups focusing on protein expression systems with potential for utilisation in the development of diagnostic assays with application in either diagnosis or surveillance.

Currently, researchers at the UFS have established several projects that will contribute directly towards the COVID-19 outbreak.


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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