Mortensen, Laust Hvas

Nuclear morphology is a deep learning biomarker of cellular senescence

Heckenbach, I., Mkrtchyan, G. V., Ezra, M. B., Bakula, D., Madsen, J. S., Nielsen, M. H., Oró, D., Osborne, B., Covarrubias, A. J., Idda, M. L., et al. (2022) · Nature Aging

Telomeres, Telomerase, and SenescenceGenetics, Aging, and Longevity in Model Organisms

Cited by 232

Learning the natural history of human disease with generative transformers

Shmatko, A., Jung, A. W., Gaurav, K., Brunak, S., Mortensen, L. H., Birney, E., Fitzgerald, T., & Gerstung, M. (2025) · Nature

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 110

Frequency and impact of obstetric complications prior and subsequent to unexplained secondary recurrent miscarriage

Nielsen, H. S., Steffensen, R., Lund, M., Egestad, L., Mortensen, L. H., Andersen, A. M. N., Lidegaard, O., & Christiansen, O. B. (2010) · Human Reproduction

Reproductive System and PregnancyBlood groups and transfusion

Cited by 61

Air pollution and human health: a phenome-wide association study

Hegelund, E. R., Mehta, A. J., Andersen, Z. J., Lim, Y.-H., Loft, S., Brunekreef, B., Hoek, G., de Hoogh, K., & Mortensen, L. H. (2024) · BMJ Open

Air Quality and Health ImpactsIndoor Air Quality and Microbial Exposure

Cited by 13