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1. A Proposed S.C.O.R.E. Evaluation Framework for Large Language Models : Safety, Consensus, Objectivity, Reproducibility and Explainability

2. HRDC challenge: a public benchmark for hypertension and hypertensive retinopathy classification from fundus images

4. VisionFM: a Multi-Modal Multi-Task Vision Foundation Model for Generalist Ophthalmic Artificial Intelligence

6. Genetic drivers of heterogeneity in type 2 diabetes pathophysiology

7. A deep learning system for predicting time to progression of diabetic retinopathy

10. Contributors

13. Diabetic retinopathy: New insights

14. List of contributors

15. Genetic insights into resting heart rate and its role in cardiovascular disease

16. Validation of a deep-learning-based retinal biomarker (Reti-CVD) in the prediction of cardiovascular disease: data from UK Biobank

18. Contribution of common and rare variants to Asian neovascular age-related macular degeneration subtypes

23. Application of a Deep Learning System to Detect Papilledema on Nonmydriatic Ocular Fundus Photographs in an Emergency Department

24. Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population-representative studies with 222 million children, adolescents, and adults

25. Large language models for diabetes care: Potentials and prospects

26. DRAC 2022: A public benchmark for diabetic retinopathy analysis on ultra-wide optical coherence tomography angiography images

27. Retinal Thickness Prediction from Multi-modal Fundus Photography

29. Genomics of perivascular space burden unravels early mechanisms of cerebral small vessel disease

30. The BONSAI (Brain and Optic Nerve Study with Artificial Intelligence) deep learning system can accurately identify pediatric papilledema on standard ocular fundus photographs

37. The Singapore National Precision Medicine Strategy

39. Extending the diabetic retinopathy screening intervals in Singapore: methodology and preliminary findings of a cohort study

40. X-chromosome and kidney function: evidence from a multi-trait genetic analysis of 908,697 individuals reveals sex-specific and sex-differential findings in genes regulated by androgen response elements

43. Risk prediction models for type 2 diabetes using either fasting plasma glucose or HbA1c in Chinese, Malay, and Indians: Results from three multi-ethnic Singapore cohorts

44. Association of common genetic variants with brain microbleeds: A Genome-wide Association Study

45. A saturated map of common genetic variants associated with human height

47. A five-safes approach to a secure and scalable genomics data repository

48. Identification of type 2 diabetes loci in 433,540 East Asian individuals

50. Development and Validation of a Deep Learning System to Detect Glaucomatous Optic Neuropathy Using Fundus Photographs

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