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Search results (15)

« Back to Publications

Early plasma proteomic alterations precede amyloidosis diagnosis, reflecting cardiac and immune dysregulation

Hasheminasab SA. et al, (2026)

Digital morphine: why AI scribes are symptomatic relief for a broken system

Segal B. et al, (2026), BMJ Digital Health & AI, 2, e000030 - e000030

Characteristics of Individuals With Advanced HIV Disease and Risk Factors for Mortality in a Contemporary Cohort in South Africa

Fieggen J. et al, (2026), JAIDS Journal of Acquired Immune Deficiency Syndromes, 101, 30 - 40

Dysregulated immune proteins in plasma in the UK Biobank predict multiple myeloma 12 years before clinical diagnosis

Fieggen J. et al, (2025), Blood Advances, 9, 3766 - 3770

Navigating Severe Class Imbalance in Population Cohort Data

Fieggen J. et al, (2025), 2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 1 - 6

Bridging the Generalisation Gap: Synthetic Data Generation for Multi-Site Clinical Model Validation

Segal B. et al, (2025), 2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 1 - 7

Bridging the Generalisation Gap: Synthetic Data Generation for Multi-Site Clinical Model Validation

Segal B. et al, (2025)

Embedding treatment in stronger care systems

Rojek A. et al, (2025), The Lancet Infectious Diseases, 25, e177 - e188

Ebola disease: bridging scientific discoveries and clinical application

Rojek A. et al, (2025), The Lancet Infectious Diseases, 25, e165 - e176

Ebola disease: bridging scientific discoveries and clinical application.

Rojek A. et al, (2025), The Lancet. Infectious diseases, 25, e165 - e176

Dysregulated Immune Proteins in Plasma in the UK Biobank Predict Multiple Myeloma 12 years Before Clinical Diagnosis

Fieggen J. et al, (2025)

AI-based analysis reveals novel blood protein biomarkers for predicting cardiac amyloidosis approximately a decade early: A UK biobank study

Hasheminasab SA. et al, (2025), BLOOD, 146, 580 - 581

Utility of a machine-guided tool for assessing risk behaviour associated with contracting HIV in three sites in South Africa

Majam M. et al, (2023), Informatics in Medicine Unlocked, 37, 101192 - 101192

The role of machine learning in HIV risk prediction

Fieggen J. et al, (2022), Frontiers in Reproductive Health, 4

Utility of a Machine-Guided Tool for Assessing Risk Behaviour Associated with Contracting HIV in Three Sites in South Africa: A field evaluation (Preprint)

Majam M. et al, (2022)