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23 January 2019 | Story Charlene Stanley | Photo Charlene Stanley
Michele Middle
Michelle Middle, CMO of Farmovs, looks forward to expanding their operations after the UFS acquired 100% shareholding in 2018.

In medical research, there are NO shortcuts.

The journey of a new medicine from lab to pharmacy shelf takes on average at least 10 years.

Michelle Middle’s journey from young medical graduate starting her first job at FARMOVS to becoming the company’s Chief Medical Officer, was more than twice that long. It was a journey that systematically and adequately equipped her to now Co-captain this flagship enterprise through its biggest challenge yet.

Michelle remembers how Farmovs started in 1974 as a research centre in the Department of Pharmacology. After graduating as medical doctor, she joined Farmovs in 1993, shortly before they moved to their current extensive facilities just south of the Sasol Library.

In 2000, international Clinical Research Organization (CRO) giant Parexel acquired a 70% shareholding, and the name changed to Farmovs-Parexel.

“Parexel really invested a lot in infrastructure and technology, bringing facilities here on par with the best in the world,” says Michelle.

Her own journey in medical research took her to George and later to the US and UK, where she held various international executive leadership positions in international companies.

When the UFS acquired a 100% shareholding in Farmovs earlier this year, she came full circle, as she returned to Bloemfontein to spearhead the expansion of patient studies in collaboration with the Faculty of Health Sciences.

“The opportunities we have here are really enormous,” says an excited Michelle.

“We are the only university in the country with this kind of infrastructure. Apart from our state-of-the-art bioanalytical lab, we also have facilities to accommodate close to 100 research participants. We now have 45 years’ experience in advanced medical research, plus established international clients. We can provide pharmaceutical companies with basically everything they need to develop new medicines.”

Another exciting development is that they are expanding their clinical-trial patient population next year from healthy individuals to people suffering from a host of chronic conditions.

“While they are part of our clinical trials, patients gain valuable insight in their own conditions. We also sometimes pick up underlying medical issues they were not even aware of,” says Michelle.

The 150 Farmovs staff members range from doctors and nurses, to technologists, medical writers, and managers. While not technically part of the university staff, they form a valued part of the Bloemfontein Campus community.

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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