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22 January 2024 | Story Leonie Bolleurs | Photo Born2shoot
Dr Tommie van Zyl, Prof Philippe Burger and Prof Francis Petersen
At the launch of NovaLogix, a company co-owned by the UFS and ZZ2, were, from the left, Dr Tommie van Zyl, CEO of the ZZ2 Group, and Prof Philippe Burger, Dean of the Faculty of Economic and Management Sciences, and Prof Francis Petersen, Vice-Chancellor and Principal.

The University of the Free State (UFS) recently (17 January 2024) launched NovaLogix in collaboration with ZZ2, a well-known South African fresh produce company.

This new company, co-owned by the university and ZZ2, aims to develop and produce a probiotic used in the production of fresh produce to enhance plant health and growth. Projects include a focus on improved production techniques, product registration, commercialisation, and improved recipes.

Members of the university’s management structures were present at the formal launch of NovaLogix – which took place on the UFS Bloemfontein Campus – including the Vice-Chancellor and Principal, Prof Francis Petersen; the Deputy Vice-Chancellor: Research and Internationalisation, Prof Vasu Reddy; and the Senior Director of the Directorate Research Development, Dr Glen Taylor. The deans of the two faculties that will be mainly involved in this partnership were also present, namely Prof Paul Oberholster, the Dean of the Faculty of Natural and Agricultural Sciences, and Prof Philippe Burger, the Dean of the Faculty of Economic and Management Sciences.

Among the attendees representing ZZ2 were Dr Tommie van Zyl, the Chief Executive Officer of the ZZ2 Group, Piet Prinsloo, Executive Manager at ZZ2, as well as Wiam Haddad, the new CEO of NovaLogix.

Co-creation and more sustainable outcomes

In his welcoming remarks, Prof Petersen stated that this event marks the culmination of a five-year journey that began in 2019 when he, Prof Burger, and Prof Danie Vermeulen, former Dean of the Faculty of Natural and Agricultural Sciences, first visited ZZ2 to initiate closer collaboration and cooperation.

He is of the opinion that the relationship with ZZ2 is ideally suited to assist the university in realising the core values of Vision 130, the university’s strategic intent to reposition the institution as one of the leading universities in South Africa by 2034.

The knowledge, experience, and expertise that ZZ2 brings to the partnership, complement the exciting and impactful research done by the university’s academics across a range of disciplines. - Prof Francis Petersen

Prof Petersen said that the UFS values partnerships with the private sector, and he considers ZZ2 to be a knowledge partner with co-creation as a key component in this collaboration.

“Working together on a challenge makes the solution more sustainable. I believe that innovation and this co-creation approach will generate outcomes that transform the agricultural sector and impart knowledge to the next generation,” he stated.

“The knowledge, experience, and expertise that ZZ2 brings to the partnership complement the exciting and impactful research conducted by the university’s academics across a range of disciplines. I am looking forward to a partnership that will grow from strength to strength,” concluded Prof Petersen.

Breakthrough developments in the pipeline

According to Dr Van Zyl, ZZ2 would like to continue building a future with the university based on a symbiotic relationship. “We want to ensure that our strengths as an organisation are put to good use,” he said, expressing a strong conviction that there will be breakthrough developments with this initiative.

This work will align with ZZ2’s ‘Work with nature’ journey that began more than two decades ago, steering away from conventional, industrial agriculture towards a system that aims to farm in harmony with nature. “It is important that we nurture nature while using her resources,” he said.

He is excited to work with the university, exploring improved techniques and technologies to find more effective ways towards a sustainable future. “Knowledge partners are important in this journey,” he stated.

Building on existing collaborations

In September 2022, the university entered into a collaboration agreement with ZZ2. The partnership between the two entities included the establishment of FreeFarm Innovation, a company that in turn has a holding in NovaLogix and is designed to leverage the strengths, capabilities, skills, and resources of both parties. Part of the operations of FreeFarm Innovation included opportunities for research, commercialisation, and the enhancement of agricultural products. This has come into effect in projects on, for example, business operations, agricultural sustainability, and innovative approaches to growing fruit and vegetables, to name but a few.

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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