* The MULTI Consortium, Song, Z., F, D., Rahman, N. A., Duggan, M. R., Tian, Q., Zeng, J., Zhou, X., Zou, C., Rafii, M. S., Shen, L., Thompson, P., Simonsick, E. M., Walker, K. A., Zalesky, A., Davatzikos, C., Aisen, P., Ferrucci, L., Resnick, S. M. & Wen, J., 2026. Sex-specific biological aging clocks across organs and omics. Nature Medicine, Link

* Wu Q., McIlvain G., Yu Z., Wen, J., 2026. Pan-FM: A Pan-Organ Foundation Model with Saliency-Guided Masking for Missing Robustness. Arxiv, Link

* Anagnostakis, F., O’Toole, C. K., Erus, G., Srinivasan, D., Cui, Y., Kokkorakis, M., Ma, X., Reitz, C., Brickman, A. M., Kontos, D., Gupta, A., Payabvash, S., Konofagou, E. E., McIlvain, G., Cheng, F., Baldwin, M. R., Shou, H., Davatzikos, C., Resnick, S. & Wen, J.. Association of organ age acceleration with Alzheimer’s disease and cognition. 22, e71528 (2026). Alzheimer's & Dementia, Link

* Wen, J., 2026. Too little or too much sleep is linked to faster ageing throughout the body. Nature (Research Briefing), Link

* The MULTI Consortium, O’Toole, C.K., Song, Z., Anagnostakis, F., Yang, Z., Tian, Y.E., Duggan, M.R., Zou, C., Leng, Y., Cai, Y., Bai, W. and Fu, C.H., Wen, J., 2026. Sleep chart of biological aging clocks in middle and late life. Nature, Link

* Zalesky, A., Wen, J., Tian, Y., 2026. From whole-body to organ-specific biological age clocks. Nature Aging, Link

* Transdiagnostic frameworks — converging on mental health, 2026, Nature Mental Health (Editorial). Link

* Wen, J., 2026. Pan-disease dimensions in the brain, eye, and heart capture shared and specific heterogeneity Nature Mental Health (Research Briefing). Link

* The MULTI Consortium, Boquet-Pujadas, A., Anagnostakis, F., Yang, Z., Tian, Y.E., Duggan, M.R., Erus, G., Srinivasan, D., Joynes, C.M., Bai, W., Patel, P.J. and Walker, K.A., Wen, J., 2026. Multi-organ AI endophenotypes chart the heterogeneity of brain, eye and heart pan-disease. Nature Mental Health, Link.

* The MULTI Consortium, Cao, H., Song, Z., Duggan, M.R., Erus, G., Srinivasan, D., Tian, Y.E., Bai, W., Rafii, M.S., Aisen, P. and Belsky, D.W., Wen, J., 2025. MRI-based multi-organ clocks for healthy aging and disease assessment. Nature Medicine, Link

* The MULTI Consortium, Boquet-Pujadas, A., Anagnostakis, F., Duggan, M.R., Joynes, C.M., Toga, A.W., Yang, Z., Walker, K.A., Davatzikos, C., and Wen, J., (2025). Brain-heart-eye axis revealed by multi-organ imaging genetics and proteomics. Nature Biomedical Engineering, DOI: 10.1038/s41551-025-01506-5, Link

* Wen, J., 2025. Towards a multi-organ, multi-omics medical digital twin. Nature Biomedical Engineering, Link

* Wen, J., 2025. Refining the generation, interpretation, and application of multi-organ, multi-omics biological aging clocks. Nature Aging, Link.

* Wen, J., Skampardoni, I., Tian, Y.E., Yang, Z., Cui, Y., Erus, G., Hwang, G., Varol, E., Boquet-Pujadas, A., Chand, G.B. and Nasrallah, I., 2025. Neuroimaging endophenotypes reveal underlying mechanisms and genetic factors contributing to progression and development of four brain disorders. Nature Biomedical Engineering. Link

* The MULTI Consortium, Anagnostakis, F., Ko, S., Saadatinia, M., Wang, J. Davatzikos, C., and Wen, J., 2025. Multi-organ metabolome biological age implicates cardiometabolic conditions and mortality risk. (2025), Nature Communications, Link

* Boquet-Pujadas, A., Zeng, J., Tian, Y.E., Yang, Z., Shen, L., Zalesky, A., Davatzikos, C., the MULTI Consortium, and Wen, J., 2025. MUTATE: A Human Genetic Atlas of Multi-organ AI Endophenotypes using GWAS Summary Statistics. pp.2024-06. Briefings in Bioinformatics, Link

* Wen, J., Wen, J., Yang, Z., Nasrallah, I.M., Cui, Y., Erus, G., Srinivasan, D., Abdulkadir, A., Mamourian, E., Hwang, G., Singh, A. and Bergman, M., 2024. Genetic and clinical correlates of two neuroanatomical AI dimensions in the Alzheimer’s disease continuum. 14(1), p.420.Translational Psychiatry. Link

* Wen, J., Tian, Y.E., Yang, Z., Cui, Y., Anagnostakis, F., Mamourian, E., Zhao, B., Toga, A.W., Zalesky, A. and Davatzikos, C., 2024. 4(9), pp.1290-1307. The genetic architecture of biological age in nine human organ systems. Nature Aging. Link

* Wen, J., 2024. Multiorgan biological age shows that no organ system is an island. Nature Aging (Research Briefing). Link

* Yang, Z., Wen, J., Erus, G., Govindarajan, S.T., Melhem, R., Mamourian, E., Cui, Y., Srinivasan, D., Abdulkadir, A., Parmpi, P. and Wittfeld, K., 2024. Brain aging patterns in a large and diverse cohort of 49,482 individuals. 30(10), pp.3015-3026. Nature Medicine. Link

* Wen, J., Zhao, B., Yang, Z., Erus, G., Mamourian, E., Cui, Y., Hwang, G., Bao, J., Boquet-Pujadas, A. and Zhou, Z., 2024. The genetic architecture of multimodal human brain age. 15(1), p.2604. Nature Communications. Link

* Wen, J., Antoniades, M., Yang, Z., Hwang, G., Wang, R. and Davatzikos, C., 2024. Dimensional neuroimaging endophenotypes: neurobiological representations of disease heterogeneity through machine learning. Biological Psychiatry. Link

* Yang, Z., Wen, J., Abdulkadir, A., Cui, Y., Erus, G., Mamourian, E., Melhem, R., Srinivasan, D., Govindarajan, S.T., Chen, J. and Habes, M., (2024). Gene-SGAN: discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering. Nature Communications. Link

* Wen, J., Nasrallah, I.M., Abdulkadir, A., Satterthwaite, T.D., Yang, Z., Erus, G., Robert-Fitzgerald, T., Singh, A., Sotiras, A., Boquet-Pujadas, A. and Mamourian, E., 2023. Genomic loci influence patterns of structural covariance in the human brain, 120(52), p.e2300842120.. Proceedings of the National Academy of Sciences. Link

* Hwang, G., Wen, J. (co-first), Sotardi, S., (2023), Brodkin, E.S., Chand, G.B., Dwyer, D.B., Erus, G., Doshi, J., Singhal, P., Srinivasan, D. and Varol, E., 2023. Assessment of neuroanatomical endophenotypes of autism spectrum disorder and association with characteristics of individuals with schizophrenia and the general population. 80(5), pp.498-507.. JAMA Psychiatry. Link

* Wen, J., Varol, E., Yang, Z., Hwang, G., Dwyer, D., Kazerooni, A.F., Lalousis, P.A. and Davatzikos, C., 2023. Subtyping brain diseases from imaging data. pp.491-510. Machine Learning for Brain Disorders Link

* Wen, J., Fu, C.H., Tosun, D., Veturi, Y., Yang, Z., Abdulkadir, A., Mamourian, E., Srinivasan, D., Skampardoni, I., Singh, A. and Nawani, H., 2022. Characterizing heterogeneity in neuroimaging, cognition, clinical symptoms, and genetics among patients with late-life depression. 79(5), pp.464-474. JAMA Psychiatry, 79(5), pp.464-474. Link

* Wen, J., Varol, E., Sotiras, A., Yang, Z., Chand, G.B., Erus, G., Shou, H., Abdulkadir, A., Hwang, G., Dwyer, D.B. and Pigoni, A., 2022. Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes, 75, p.102304.. Medical Image Analysis, 75, p.102304. Link

* Yang, Z., Wen, J., and Davatzikos, C., (2022). Surreal-GAN: Semi-Supervised Representation Learning via GAN for uncovering heterogeneous disease-related imaging patterns. ICLR. Link

* Wen, J., Samper-González, J., Bottani, S., Routier, A., Burgos, N., Jacquemont, T., Fontanella, S., Durrleman, S., Epelbaum, S., Bertrand, A. and Colliot, O., 2021. Reproducible evaluation of diffusion MRI features for automatic classification of patients with Alzheimer’s disease, 19, pp.57-78.. Neuroinformatics, 19(1), pp.57-78. Link

* Wen, J., Thibeau-Sutre, E., Diaz-Melo, M., Samper-González, J., Routier, A., Bottani, S., Dormont, D., Durrleman, S., Burgos, N., Colliot, O. and Alzheimer's Disease Neuroimaging Initiative, 2020. Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation, 63, p.101694. Medical image analysis, 63, p.101694. Link

* Wen, J., Varol, E., Chand, G., Sotiras, A. and Davatzikos, C., 2020. MAGIC: Multi-scale heterogeneity analysis and clustering for brain diseases. 2020, pp. 678-687. MICCAI. Springer, Cham. Link

* Bertrand, A., Wen, J. (co-first), Rinaldi, D., Houot, M., Sayah, S., Camuzat, A., Fournier, C., Fontanella, S., Routier, A., Couratier, P. and Pasquier, F., 2018. Early cognitive, structural, and microstructural changes in presymptomatic C9orf72 carriers younger than 40 years. 75(2), pp.236-245. JAMA neurology, 75(2), pp.236-245. Link

* Wen, J., Zhang, H., Alexander, D.C., Durrleman, S., Routier, A., Rinaldi, D., Houot, M., Couratier, P., Hannequin, D., Pasquier, F. and Zhang, J., 2019. Neurite density is reduced in the presymptomatic phase of C9orf72 disease, 90(4), pp.387-394.. Journal of Neurology, Neurosurgery & Psychiatry 90(4), pp.387-394. Link