Page 164 - SAMRC AnnualReport 2025-26
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AI in Medical and Health Research multi-omic datasets. These datasets will support the
application of machine learning tools for biomarker
The Unit currently applies data-driven and
bioinformatics approaches, particularly transcriptomic discovery, predictive modelling, and accelerated
and proteomic analyses, to advance understanding of therapeutic development. By strengthening its data
wound healing and keloid pathogenesis. Although infrastructure, the Unit is positioning itself to deploy
its current use of artificial intelligence (AI) remains AI responsibly and effectively to enhance research,
limited, the Unit is actively laying the groundwork innovation, and future clinical decision-making.
for future AI integration by developing high-quality
Keloid spheroids.
Keloid spheroids.
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