* The MULTI Consortium, O'Toole, C.K., Song, Z., Anagnostakis, F., Yang, Z., Tian, Y.E., Duggan, M., Zou, C., Leng, Y., Cai, Y., Bai, W., ... Wen, J., 2025. Sleep chart of biological aging clocks across organs and omics. Under review, Link

* The MULTI Consortium, Boquet-Pujadas, A., anagnostakis, F., Yang, Z., Tian, Y.E., duggan, M., erus, G., srinivasan, D., Joynes, C., Bai, W., patel, P., ... Wen, J., 2025. Multi-organ AI Endophenotypes Chart the Heterogeneity of Pan-disease in the Brain, Eye, and Heart. Nature Mental Health (in press), 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., Belsky, D.W., ..., Wen, J., 2025. MRI-based multi-organ clocks for healthy aging and disease assessment. Nature Medicine (in press), 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 (in press), 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.

* Duggan, M. R., Yang, S., Gomez, G. T., Cui, Y., Capuano, A. W., Chen, J., Yang, Z., Wen, J., Erus, G., Drouin, S. M., Zweibaum, D., Tian, Q., Candia, J., Bilgel, M., Lewis, A., Moghekar, A., Ashton, N. J., Kac, P. R., Karikari, T. K., … Walker, K. A. (2025). Proteomic signatures of Corona and herpes viral antibodies identify IGDCC4 as a mediator of neurodegeneration, 11(22). Science Advances, 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, Columbia News

* 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

* Bao, J., Wen, J., Chang C., Mu S., Chen J., Shivakumar M., Cui Y., Erus G., Yang Z., Yang S., Wen Z., Zhao Y., Kim D., Duong-Tran D., Saykin A., Zhao Z., Davatzikos C., Long Q., Shen L. (2025). A genetically informed brain atlas for enhancing brain imaging genomics. Nature Communications, Link

* Chen, J., Ionita, M., Feng, Y., Lu, Y., Orzechowski, P., Garai, S., Hassinger, K., Bao, J., Wen, J., Duong-Tran, D. and Wagenaar, J., (2025). Automated cytometric gating with human-level performance using bivariate segmentation. 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. Nature Aging. Link

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

* Yang, Z., Wen, J. (Co-supervision & Genetic analysis), 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., (2024). Gene-SGAN: discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering. Nature Communications. Link

* Skampardoni, I., Nasrallah, IM., Abdulkadir, A., Wen, J. (Genetic analysis), Melhem, R., Mamourian, E., Erus, G., Doshi, J., Singh, A., Yang, Z. and Cui, Y., 2024. Genetic and clinical correlates of AI-based brain aging patterns in cognitively unimpaired individuals., 81(5), pp.456-467. JAMA Pyschiatry. 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

* Yang, Z., Nasrallah, I.M., Shou, H., Wen, J., Doshi, J., Habes, M., Erus, G., Abdulkadir, A., Resnick, S.M., Albert, M.S. and Maruff, P., 2021. A deep learning framework identifies dimensional representations of Alzheimer’s Disease from brain structure. 12(1), p.7065.. Nature Communications, pp.1-15. 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