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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

UFS boasts with most advanced chemical research apparatus in Africa
2005-11-23

Celebrating the inauguration of the NMR were from the left Prof Frederick Fourie (Rector and Vice-Chancellor of the UFS),  Dr Detlef Müller (Development Scientist and Manager:  Africa and Asia of Bruker in Germany, the supplier of the NMR), Prof Jannie Swarts (head of the head of the Division Physical Chemistry at the UFS) and Prof Herman van Schalkwyk (Dean:  Faculty of Natural and Agricultural Sciences at the UFS). Photo: Lacea Loader

UFS boasts with most advanced chemical research apparatus in Africa 

The University of the Free State’s (UFS) Department of Chemistry now boasts with some of the most advanced chemical research apparatus in Africa after the latest addition, a nuclear magnetic resonance (NMR) spectrometer, was inaugurated today by the Rector and Vice-Chancellor, Prof Frederick Fourie.  The NMR is used to analyse molecular structures. 

Last month the Department of Chemistry celebrated the installation of the most advanced single crystal X-ray diffractometer in Africa.  The diffractometer provides an indispensable technique to investigate among others the solid state of compounds for medicinal application.

“Three years ago the UFS executive management realised that, if we want to build a university of excellence, we should invest in research.  We started to think strategically about chemistry and decided to bring the apparatus at the Department of Chemistry on a more competitive standard.  Strategic partnerships were therefore secured with companies like Sasol,” said Prof Fourie during the inauguration ceremony.

“The installation of the NMR symbolises the ability of the UFS to turn academic areas around.  I hope that this is the beginning of a decade of excellence for chemistry at the UFS,” said Prof Fourie.

”The catalogue value of the Bruker 600 MHz NMR is approximately R11 million.  With such an advanced apparatus we are now able to train much more post-graduate students,“ said Prof Jannie Swarts, head of the Division Physical Chemistry at the UFS.

”The NMR is the flagship apparatus of the UFS Department of Chemistry that enables chemists to look at compounds more easily at a molecular level.  Research in chemistry is critically dependent on NMR, which is a technique that can determine the composition of reactants and products in complicated chemical reactions, with direct application is most focus areas in chemistry,“ said Prof Swarts.

”Parts of the spectrometer consists of non-commercial items that were specifically designed for the UFS Department of Chemistry to allow the study of unique interactions in e.g. rhodium and platinum compounds,” said Prof Swarts.

According to Prof Swarts the NMR enables chemists to conduct investigations on the following:

To evaluate for example the complex behaviour of DNA in proteins as well as the analysis of illegal drugs sometimes used by athletes. 
It provides an indispensable technique to investigate compounds for medicinal application for example in breast, prostate and related bone cancer identification and therapy, which are currently synthesised in the Department of Chemistry.  
It can also be applied to the area of homogeneous catalysis where new and improved compounds for industrial application are synthesized and characterised, whereby Sasol and even the international petrochemical industry could benefit. This analytical capacity is highly rated, especially in the current climate of increased oil prices.
The NMR can detect and identify small concentrations of impurities in feed streams in the petrochemical industry, e.g. at Sasol and also the international petrochemical industry.  These minute amounts of impurities can result in metal catalyst deactivation or decomposition and can cause million of rands worth in product losses.
It is indispensable for studying the complexity of samples that is non-crystalline. These materials represent the vast majority of chemical compounds such as solvents, gasoline, cooking oil, cleaning agents and colorants as examples. 

According to Prof Swarts the general medical technique of MRI (magnetic resonance imaging) in use at larger hospitals, is based on NMR technology.

”The NMR apparatus enabled the Department of Chemistry to characterise complex molecules that were synthesised for the multi-national company, FARMOFS-PAREXEL, and to negotiate research agreements with overseas universities,” said Prof Swarts. 

Media release
Issued by: Lacea Loader
Media Representative
Tel:  (051) 401-2584
Cell:  083 645 2454
E-mail:  loaderl.stg@mail.uovs.ac.za
22 November 2005
 

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