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22 March 2022 | Story André Damons
Dr Yolandi Swart
Dr Yolandi Swart, who took over from Prof Lynette van der Merwe as the new Director of the Undergraduate Medical Programme (MB ChB programme) in the School of Clinical Medicine within the Faculty of Health Sciences at the University of the Free State (UFS), says she is excited about the new opportunities that come with this position.

The new Director of the Undergraduate Medical Programme (MB ChB programme) in the School of Clinical Medicine within the Faculty of Health Sciences at the University of the Free State (UFS) has a passion for teaching and learning and brings a wealth of experience with her.

Dr Yolandi Swart, who took over from Prof Lynette van der Merwe on 1 March 2022, says she is excited about the new opportunities that this position brings. She was not actively job-hunting and came across the advertisement by accident but was thrilled when she was informed that she is the recommended candidate.

A deep love for the UFS

“I will be heading up an amazing team of people who drive the MB ChB programme, making sure that we walk with our students on their journey to become the next generation of health professionals who will contribute to the health and wellness of our population. Our functions include coordinating the undergraduate curriculum, providing student support, as well as logistic support to ensure the smooth running of the MB ChB programme,” says Dr Swart.

As an alumna of the university (she obtained both her MB ChB and postgraduate MMed in Community Health at the UFS), she has a deep love for the UFS, as it has played a huge role in developing her into the person she is today.

According to Dr Swart, she looks forward to getting to know the students and seeing them develop into the best they can be, as well as engaging with the academic staff as they guide and train the students. She brings a diverse background to the position, having practised as a doctor, specialised in Community Health, and worked in clinical research at various levels, including senior management. This has afforded her the opportunity to equip herself with skills that she hopes will provide support and direction to the Undergraduate Programme Management team in order to provide excellent service in all its functions.

Her vision

“I love teaching and learning – taking a concept and making it accessible to someone.  There are few things as satisfying as seeing that expression that says ‘Oh, now I get it!’

Kovsies has always had a reputation of producing excellent doctors.  “It is my vision to build on that reputation, integrating local and international best practices as they develop into our students’ training, with the aim of developing young professionals who are competent, resilient, and able to face the challenges that life will throw at them – so that they, in turn, can play their role to influence lives for the better.”

Prior to her appointment, she worked at FARMOVS as a clinical research physician for more than six years, the past year and a half as the company’s Medical Director. Says Dr Swart: “I love challenging myself with new things every so often. Past and present hobbies include surfing (which died an early death, as I was horrible at it), scuba diving (yes, with sharks as well), horse-riding, and self-defence.  Most recently, I got hooked on traditional archery – a very challenging skill to try and master.”

Dr Swart says she has learned throughout her personal life and professional career that life sometimes takes unexpected turns – but if one is open to the opportunities afforded by those unexpected turns, it often turns out so much better than the original plan could ever have been. “Difficulties and challenges will always come – but if one faces them with a positive attitude, they teach life skills that you would otherwise never have attained.”

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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