Page 159 - SAMRC AnnualReport 2025-26
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P E R FOR M A NC E I N FOR M A T I ON
During this reporting period, the Unit celebrated
the graduation of Honours students and MMed
student, and recruited a postdoctoral fellow.
AI in Medical and Health Research
The Unit uses advanced bioinformatics and
statistical approaches to analyse complex genomic
data and identify genetic factors that influence
treatment response in African populations,
thereby supporting more personalised healthcare
Ms Mabizela illustrating to honours and approaches.
MSc students how to use qPCR machine.
At the same time, the Unit is actively building
capacity in artificial intelligence through targeted
training initiatives and strategic collaborations,
enabling researchers to confidently apply AI-driven
tools in pharmacogenomics research. Current and
planned work includes the application of machine
learning and data-driven approaches to predict
drug responses more accurately, optimise dosing
strategies, and identify novel biomarkers from
integrated multi-omics datasets.
The Unit is also strengthening its data systems and
computational infrastructure to support large-scale
analyses, secure data sharing, and reproducible
research. These efforts contribute to more informed
clinical decision-making and the generation of
Mr Katsukunya discussing with honours and
PhD colleague on how to analyse Sanger contextually relevant evidence to inform healthcare
Sequencing results policy and practice in Africa.
Dr Immelman explaining to use Nanodrop
for DNA quantification to honours and
MSc students.
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