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14 December 2022 | Story André Damons | Photo André Damons
Dr Michael Pienaar, Senior Lecturer and specialist in the UFS Department of Paediatrics and Child Health being presented to the acting Chancellor by his supervisor Prof Stephen Brown.

A lecturer from the University of the Free State (UFS) says the need to improve the care of seriously ill children is a vital part of reducing preventable deaths and diseases, and this led him to investigate the use of artificial neural networks to develop models for the prediction of patient outcomes in children with severe illness. The study was done for his PhD thesis. 

This forms the basis for the PhD thesis of Dr Michael Pienaar, Senior Lecturer and specialist in the UFS Department of Paediatrics and Child Health, called, The Development and Validation of Predictive Models for Paediatric Critical Illness in Children in Central South Africa using Artificial Neural Networks. His thesis reports the development and testing of several machine learning models designed to help healthcare workers identify seriously ill children early in a range of resource-limited settings. Combining a systematic literature search and Delphi technique with clinical data from 1 032 participants, this research led to significant progress towards implementable models for community health workers in clinical practice.

Care for critically ill children is a mission and calling 

Dr Pienaar graduated with a PhD specialising in Paediatrics on Monday (12 December) during the Faculty of Health Sciences’ December graduation ceremony. It took him three years to complete this degree. His supervisor was Prof Stephen Brown, Principal Specialist and Head of the Division of Paediatric Cardiology in the Department of Paediatrics and Child Health in the Faculty of Health Sciences at the UFS. Prof Nicolaas Luwes and Dr EC George were his co-supervisors. 

“I have been working in paediatric critical care since 2019 and see the care of critically ill children as my mission and calling in life. At the outset of the project, I was interested in approaches to complex phenomena and wanted to investigate new methods for tackling these in healthcare. 

“I have been interested in technology since childhood and in collaborating with other disciplines since I joined the university in 2019. Machine learning seemed like a great fit that could incorporate these interests and yield meaningful clinical results,” explains Dr Pienaar the reason why he chose this topic for his thesis.

He hopes that, in time, this work will lead to the implementation of integrated machine learning models to improve care and clinical outcomes for children in South Africa. From a scholarship perspective, he continues, his hope is that this work draws interest to this field in clinical research and encourages a move towards incorporating these new methods, as well as skills in areas such as coding and design in the armamentarium of a new generation of clinicians.

Medicine chooses you

According to Dr Pienaar, he always had broad interests, of which medicine is one. “I am very grateful to have found my way in medicine and am humbled and privileged to be allowed to walk with children and their families on a difficult and important journey. I believe this profession will choose you and put you where you are needed if you give it time and are prepared to listen.”

He describes graduating as a complicated ending to this period of his life and the beginning of a next chapter. He was humbled by the graduation ceremony. 

“It was wonderful to graduate with undergraduates and postgraduates in my profession – I felt great pride and solidarity joining these new colleagues and specialists in taking the oath. I am certainly relieved, proud, excited, and happy. I am also very grateful to the university, my promotors, colleagues, friends, and family for supporting me through this process. I must confess, it is also slightly bittersweet, I loved working on this and do miss it, but look forward to the next exciting project. 

“I would like to thank my Head of Department, Dr (Nomakhuwa) Tabane, my supervisors, my family and friends once again. I would also like to acknowledge and thank the National Research Foundation (NRF) as well as the University of the Free State for their assistance with funding this research.”

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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