Page 61 - SAMRC AnnualReport 2025-26
P. 61

P E R FOR M A NC E  I N FOR M A T I ON





            participation, avoidance of coercion, and effective   Beyond internal capacity development, the NCDRU
            participant communication. Information sheets are   promotes community empowerment through
            provided to support informed decision-making,      health  literacy initiatives, educational outreach,
            while written informed consent is obtained from    and advocacy addressing the social determinants
            all  participants,  with  assent  secured  for  minors,   of health. Key activities included outreach events
            reinforcing respect for autonomy and dignity.      commemorating World Hypertension Day, World
                                                               Heart Day, World Diabetes Day, and World Kidney
                                                               Day, all of which provided health education,
                                                               screenings,  and  prevention-focused  messaging.
                                                               Staff members also contributed their expertise
                                                               through participation in  various national capacity
                                                               development initiatives.

                                                               AI in Medical and Health Research

                                                               The  NCDRU  is  actively  integrating  artificial
                                                               intelligence   (AI)   and   advanced   data-driven
                                                               technologies to strengthen health research,
                                                               innovation, and evidence-informed decision-making.

                                                               Two  flagship  projects  during  2025/2026,  the
                                                               Multimorbidity Study and the Chronic Kidney Disease
                                                               Study,  demonstrate  the  Unit’s  application  of  AI  to
                                                               enhance research quality, improve risk stratification,
                                                               and  support  proactive,  data-driven  health  system
                                                               responses.

                                                               The Multimorbidity Study uses unsupervised
                                                               machine learning to identify patterns of disease
                                                               clustering, enabling deeper understanding of
                                                               the complexity and heterogeneity of coexisting
                                                               diseases. The study also applies ensemble-based
                World Kidney Day is dedicated to raising       risk prediction models to identify individuals at high
                awareness about kidney health worldwide.       risk of developing multimorbidity more accurately. In
                                                               addition, microsimulation modelling is being used
                                                               to assess risk thresholds and estimate the potential
                                                               impact of targeted interventions on population
                                                               health outcomes. To support decision-making and
                                                               policy engagement, the project will develop an
                                                               interactive web-based data visualisation platform
                                                               that translates complex analytics into accessible and
                                                               actionable insights. Implementation is underway in
                                                               the Western Cape, with planned expansion to the
                                                               Eastern Cape, Limpopo, and KwaZulu-Natal during
                                                               2026/2027.

                                                               The Chronic Kidney Disease Study is exploring
                                                               the  use  of  AI-assisted  diabetic  retinopathy  retinal
                                                               screening to support earlier detection of CKD.
                                                               Based on the shared microvascular pathways
                                                               between retinal and kidney disease, the study uses
                                                               retinal imaging as a non-invasive proxy for systemic
                                                               vascular damage. By leveraging existing screening
                                                               infrastructure, the project aims to develop a scalable
                World Hypertension Day, take control           and cost-effective approach to early diagnosis and
                Know Your Numbers campaign.
                                                               integrated disease management. Ethical approval
                                                               for the study is currently under review.



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