Latest News Archive

Please select Category, Year, and then Month to display items
Previous Archive
28 December 2020 | Story André Damons | Photo Supplied
Dr Michael Pienaar is a lecturer in the University of the Free State’s (UFS) department of Paediatrics and Child Health.

A lecturer from the University of the Free State’s (UFS) department of Paediatrics and Child Health is investigating the use of artificial neural networks to develop models for the prediction of patient outcomes in children with severe illness.

Dr Michael Pienaar, senior lecturer and specialist, is conducting this research as part of his doctoral research and the study deals primarily with the development of models that are designed and calibrated for use in South Africa. These artificial neural networks are computer programs designed to mimic some of the learning characteristics of biological neurons.

The potential applications of models

According to Dr Pienaar these models have traditionally been developed in high-income nations using conventional statistical methods.

“The potential applications of such models in the clinical setting include triage, medical research, guidance of resource allocation and quality control. Having initially begun this research investigating the prediction of mortality outcomes in the paediatric intensive care unit (PICU) I have broadened my scope to patients outside of PICU, seeking to identify children early during their illnesses who are at risk of serious illness requiring PICU,” says Dr Pienaar.

The research up until now has been directed towards the identification of characteristics that are both unique to children with serious illness in South Africa, but also accessible to clinicians in settings where expertise and technical resources are limited.

Research still in the early changes

The research is still in its early stages but next year a series of expert review panels will be held to investigate the selection of variables for the model, after which the collection of clinical data will begin. Once the data has been collected and prepared, a number of candidate models will be developed and evaluated. This should be concluded by the end of 2022.

Says Dr Pienaar: “The need to engage with the rapid proliferation of technology, particularly in the realms of machine learning, mobile technology, automation and the Internet of Things is as great in medical research now as it is in any academic discipline.

“It is critical that research, particularly in South Africa, engage with this in order to take advantage of the opportunities offered and avoid the dangers that go paired with them. Together with the technology as such, it has been essential to pursue this project as an interdisciplinary undertaking involving clinicians, biostatisticians and computer engineers.”

Hope for the research  

Dr Pienaar says he was very fortunate and grateful to be the recipient of a generous interdisciplinary grant from the UFS which has allowed him to procure software and equipment that is critical to this project.

“The hope for this research is that the best performing of these models can be integrated with a mobile application that assists practitioners in a wide range of settings in the identification, treatment and early referral of children at high risk of severe illness. I would like to expand this research project to include other countries in Africa and South America and to use it as a bridge to collaboration with other clinical researchers in the Global South,” says Dr Pienaar.

As an early career researcher, Dr Pienaar hopes that this research can serve as a platform to build a body of research that uses the rapid technological advances of these times together with a wide range of collaborations with other disciplines in the pursuit of better child health.

He concludes by saying that he has had excellent support thus far from his supervisors, Prof Stephen Brown (Faculty of Health Sciences, UFS), Dr Nicolaas Luwes (Faculty of Computer Science and Engineering, Central University of Technology) and Dr Elizabeth George (Medical Research Council Clinical Trials Unit, University College London). I have also been supported by the Robert Frater Institute in the Faculty of Health Sciences.

News Archive

It takes a village to raise a child
2016-06-13

Description: Valentino_Student Bursary Fund Campaign Tags: Valentino_Student Bursary Fund Campaign

Valentino Ndaba
Photo: Sonia Small

(Click on CC for subtitles)

Video
Student Bursary Fund Campaign booklet (pdf)
Donate
Student Bursary Fund Campaign launched: #FundAFuture and make a difference
Motho ke motho ka batho. A person is a person through others

Want to make a difference in the world? Here is how

South Africa has one of the most spectacular coastlines in the world. Take the ribbon of golden beaches sweeping along the shores of KwaZulu-Natal, for instance. But just beyond the kiteboards dappling the ocean and fields of swaying sugarcane lies one of the largest informal settlements in the province: Amaoti. A place where barefoot children are skipping alongside poverty, and violent crime incinerates hope.

Nonetheless, that place could not keep Valentino Ndaba from graduating at the University of the Free State (UFS), and setting her sails for post-graduate studies.

A village
It takes a village to raise a child. This African proverb ripples across Valentino’s life story. “My gran always used to say education is your eternal bread. She still says it to this day. She has always instilled in me the importance of education,” Valentino smiles. Her grandmother has been but one of several champions in Valentino’s life.

Maalthee Dayaram – a teacher at Brookdale Secondary School that Valentino attended – noticed a budding talent in the young girl’s writing. With dedicated attention and ceaseless encouragement, Mrs Dayaram helped pave the way for this young writer. “You might be talented and have potential, but having someone actually believe in you and tell you that you have potential makes such a difference,” Valentino says. “I fell in love with writing, and had an idea that writing might be my future.” Dire economic circumstances threatened to snuff out any sparks of hope from that fragile future, though.

Aided by Lungisani Indlela (a non-profit organisation that provides children in the Amaoti area with school fees, uniforms, shoes, etc), Valentino clung to faith in the power of education. With unwavering single-mindedness, she consistently earned top grades.

Description: Valentino Ndaba 2 Tags: Valentino Ndaba 2

Photo: Sonia Small

Not if, but when
“Dreaming of my future, my gran would always say to me, ‘when you go to university’ or ‘when you have graduated’, this and that will follow.” Her gran’s words proved to be prophetic. As the final matric results were published in early January 2012, Valentino received a phone call that would change her life irrevocably.

That call came from the well-known South African humanitarian, Tich Smith. “Would you be willing to go to university in another province?” Smith asked. Never having travelled beyond her immediate surroundings, Valentino’s brave answer was: “Yes.”

A few days later, she walked onto the Bloemfontein Campus of the UFS.

Changing futures

Valentino proceeded to obtain a BA degree in Media Studies and Journalism in 2014. She has now set her sights on an honours degree, and envisions pursuing a Master’s degree in creative writing overseas.

“Without the support I received, I would have been stuck without a future,” she says. “University has shaped me into a better version of myself. I’ve grown intellectually, spiritually, and emotionally.”

You can bring about the same change for other students in need. By contributing to the UFS Student Bursary Fund Campaign, you can change the future not only of individuals, but of communities and of our country as well.

The impact of your financial support reaches far beyond its monetary value. It pulls families from poverty. It sends forth experts and visionaries into the world. It sets in motion a culture of giving.

Visit our Giving page for ways to contribute.

 

We use cookies to make interactions with our websites and services easy and meaningful. To better understand how they are used, read more about the UFS cookie policy. By continuing to use this site you are giving us your consent to do this.

Accept