June 16, 2026 article Open access Multi-omic analysis of deep learning-derived phenotypes links ophthalmic imaging to cardiovascular and neurological traits Nature Cardiovascular Research DOI: 10.1038/s44161-026-00815-5 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 0 References 3 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Genome-wide association and Mendelian randomisation analysis provide insights into the pathogenesis of heart failure 2020 Nature Communications article Biochemistry, Genetics and Molecular Biology Genetic Associations and Epidemiology Open access 845 citations Finding the needle in a high-dimensional haystack: Canonical correlation analysis for neuroscientists 2020 NeuroImage article Mathematics Statistical Methods and Applications Open access 273 citations Lipids and lipoproteins in cardiovascular diseases: a classification 2022 Trends in Endocrinology and Metabolism review Medicine Lipoproteins and Cardiovascular Health Open access 113 citations 3 results