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20 April 2021 | Story André Damons | Photo André Damons
Hannes Erasmus, an assistant bioanalyst in the Division of Immunochemistry at FARMOVS, a wholly owned clinical research company of the University of the Free State (UFS), will be graduating on Friday with a Master of Science degree majoring in Human Molecular Genetics.

While working on his study for his MSc Human Genetics degree, a staff member of FARMOVS – who was a Gamete intrafallopian tube (GIFT) baby – not only got to meet the doctor who was responsible for his being, but the doctor also formed part of his supervisor team.

Hannes Erasmus, an assistant bioanalyst in the Division of Immunochemistry at FARMOVS, a wholly owned clinical research company of the University of the Free State (UFS), will be graduating on Thursday (22 April 2021) with a Master of Science degree majoring in Human Molecular Genetics. His dissertation is titled Genetic and Molecular Analysis of Male infertility in a private practice in South Africa. His supervisor team consisted of Mrs Sue-Rica Schneiders (supervisor), Dr Gerda Marx, Dr Olga de Smidt, and Prof PH (Paul) Wessels (co-supervisors).

“I feel very proud and fortunate to have the opportunity to complete this achievement. It was not easy, but it gave me more time during lockdown to write up my thesis. One of my biggest challenges was time itself. Late nights in the lab and writing up at night,” says Erasmus about studying and working during the year of COVID-19.

GIFT baby

According to Erasmus, he decided on this topic because he had an interest in infertility from an early age, since he was also a GIFT baby. 

“My parents struggled for a while to conceive after my older sister was born.  They decided on this assisted reproductive technique, and I was conceived. I then had the privilege to meet the doctor who was responsible for my being, Prof Wessels.  He then also formed part of my supervisor team and allowed me to sample my case group at his private fertility clinic.”

His wife, Bernadine, inspires him to be a better version of himself each day.  He strives to contribute to his workspace, his friends, family, and community to grow and better the future of South Africa and our children.

Dean’s Medal 
A colleague of Erasmus – Vicky Simpson, Marketing Manager of FARMOVS, is the recipient of the Dean’s Medal for achieving the best results in respect of a Bachelor Honours degree in the Faculty of Economic and Management Sciences at the UFS. 

Simpson, who graduated with a Bachelor of Commerce Honours with specialisation in Marketing during the virtual graduation on Monday, says she is shocked and at first did not notice that she was the recipient of this award. She obtained her degree with distinction.

“I will always be grateful! Not everyone gets the opportunity to study at a university. Yes, I had to work twice as hard to achieve my goals, but I think I craved success enough to overcome all the challenges.”

                            Vicky Simpson, Marketing Manager of FARMOVS,Picture: André Damons


Grabbed the opportunity with both hands

“I never had the opportunity to study before the age of 30. My family had very limited financial resources.  As a result, my main focus was day-to-day survival. So, I had to find creative ways to make this dream happen. When the doors of opportunity opened here at the UFS, I grabbed it with both hands and made the best of numerous challenging situations. It meant that I had to study and perform well at work, because both aspects deserved my full attention. In the end, I don’t regret the sacrifices I made. I also hope that I made those who believed in my potential very proud,” says Simpson.

“I will always remain grateful to Prof Jonathan Jansen, former Rector and Vice-Chancellor of the UFS, and his wife Grace. They gave me a valuable opportunity back in 2014, which transformed my life. My colleague Pat Lamusse also played a significant role in my development, because she believed in me when it mattered the most.” 

According to Simpson, it was difficult to stay motivated and focused (during COVID-19) while the world was in a state of turmoil and uncertainty.  It required more energy than it would have under normal circumstances. 

“Luckily, my partner Cornél, my friends, colleagues, and family were there to offer me support. I felt like quitting a few times, but grit and vision pushed me forward towards my goal. My amazing study leader, Prof Jacques Nel, was just so inspiring and helpful. We made a stellar team, and my dissertation remains the best document that I have ever submitted. The weekends and late nights spent on writing that document was worth it!”

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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