Hammers, D. B., Musema, J., Eloyan, A., Thangarajah, M., Taurone, A., La Joie, R., Touroutoglou, A., Vemuri, P., Kramer, J., Aisen, P., Dage, J. L., Nudelman, K. N., Kirby, K., Atri, A., Clark, D., Day, G. S., Duara, R., Graff-Radford, N. R., Grant, I., … Apostolova, L. G. (2025). Characterizing and validating 12-month reliable cognitive change in Early-Onset Alzheimer’s Disease for use in clinical trials. The Journal of Prevention of Alzheimer’s Disease, 100075. https://doi.org/10.1016/j.tjpad.2025.100075

Putcha, D., Katsumi, Y., Touroutoglou, A., Eloyan, A., Taurone, A., Thangarajah, M., Aisen, P., Dage, J. L., Foroud, T., Jack, C. R., Kramer, J. H., Nudelman, K. N. H., Raman, R., Vemuri, P., Atri, A., Day, G. S., Duara, R., Graff-Radford, N. R., Grant, I. M., … Honig, L. S. (2025). Heterogeneous clinical phenotypes of sporadic early-onset Alzheimer’s disease: a neuropsychological data-driven approach. Alzheimer’s Research & Therapy, 17(1). https://doi.org/10.1186/s13195-025-01689-8

Campbell, E. A., Holl, F., Marwah, H. K., Fraser, H. S., & Craig, S. S. (2025). The impact of climate change on vulnerable populations in pediatrics: opportunities for AI, digital health, and beyond—a scoping review and selected case studies. Pediatric Research. https://doi.org/10.1038/s41390-024-03719-x

Riemann, L., Gutierrez, R., Odak, I., Barros-Martins, J., Roesner, L. M., Leon Lara, X., Falk, C., Schulz, T. F., Hansen, G., Werfel, T., Förster, R., Bošnjak, B., Jenniches, F., Klopp, N., Lesker, T. R., & Stangel, M. (2025). Integrative deep immune profiling of the elderly reveals systems-level signatures of aging, sex, smoking, and clinical traits. EBioMedicine, 112, 105558. https://doi.org/10.1016/j.ebiom.2025.105558

Wang, L., Ho, P., Tee, B. L., Li, C., Gu, Y., Yokoyama, J. S., Reyes‐Dumeyer, D., Faber, K. M., Lee, W., Song, Y. E., Tzuang, M., Vardarajan, B. N., Yang, H., Choi, Y., Feldman, H. H., Grill, J. D., Henderson, V. W., Hsiung, G. R., … Mayeux, R. (2024). Asian Cohort for Alzheimer’s Disease (ACAD) Study on Genetic and Non‐Genetic Risk Factors for Alzheimer’s Disease among Asian Americans and Canadians. Alzheimer’s & Dementia, 20(S7). Portico. https://doi.org/10.1002/alz.085391

Imms, P., Chen, S., Wang, H., Li, R., & Irimia, A. (2024). PREDICTING TIME TO COGNITIVE IMPAIRMENT USING BRAIN AGE. Innovation in Aging, 8(Supplement_1), 613–613. https://doi.org/10.1093/geroni/igae098.2008

Lee, A. J., Cui, Z., Song, Z., Reyes‐Dumeyer, D., De Jager, P. L., Bennett, D. A., Schneider, J. A., Menon, V., Wang, Y., Lantigua, R. A., Medrano, M., Mejia, D. R., Jiménez‐Velázquez, I. Z., Kukull, W. A., Biber, S. A., Brickman, A. M., Tosto, G., Kizil, C., Farrer, L. A., … Mayeux, R. (2024). Multi‐ancestry Genome‐wide Gene‐Vascular Risk Factors Interaction Analyses in Alzheimer’s Disease. Alzheimer’s & Dementia, 20(S1). Portico. https://doi.org/10.1002/alz.093041

Scambray, K. A., Nelson, M. E., Morris, E. P., Palms, J. D., Taylor, L., Sol, K., Schupf, N., Brickman, A. M., Manly, J. J., & Zahodne, L. B. (2024). Subjective Social Status, Brain Health, and Cognitive Reserve Across Race/Ethnicity and Sex/Gender. Alzheimer’s & Dementia, 20(S7). Portico. https://doi.org/10.1002/alz.087985

Seifar, F., Fox, E. J., Shantaraman, A., Liu, Y., Modeste, E. S., Duong, D. M., Yin, L., Gearing, M., Lah, J. J., Reddy, J. S., Allen, M., Quicksall, Z., Heath, L. M., Scanlan, J., Wang, E., Wang, M., Linden, A. V., Poehlman, W. L., … Chen, X. (2024). Proteomic Analysis Resolves Distinct Molecular Signatures in Alzheimer’s Disease Brain Across Diverse Racial Groups. Alzheimer’s & Dementia, 20(S2). Portico. https://doi.org/10.1002/alz.092542

Contreras, A. G., Walters, S., Eissman, J. M., Archer, D. B., Regelson, A. N., Durant, A., Mukherjee, S., Lee, M. L., Choi, S., Scollard, P., Trittschuh, E. H., Mez, J., Bush, W. S., Kunkle, B. W., Naj, A. C., Gifford, K. A., Bilgel, M., Kuzma, A. B., Cuccaro, M. L., … Hohman, T. J. (2024). Cross‐Ancestry Meta‐Analysis of APOE‐ε4 Stratified GWAS of Longitudinal Cognitive Decline in Older Adults. Alzheimer’s & Dementia, 20(S1). Portico. https://doi.org/10.1002/alz.090846

Fletcher, E., Chanti‐Ketterl, M., Hokett, E., Lor, Y., Venkatesan, U. M., Gilsanz, P., Whitmer, R. A., Chen, R., George, K. M., & Zlatar, Z. (2024). A machine learning approach to multifactorial modeling of episodic memory performance. Alzheimer’s & Dementia, 20(S3). Portico. https://doi.org/10.1002/alz.089749

Phillips, J., Dumitrescu, L. C., Archer, D. B., Regelson, A. N., Mukherjee, S., Lee, M. L., Choi, S., Scollard, P., Trittschuh, E. H., Kukull, W. A., Biber, S. A., Mez, J., Mahoney, E. R., Clifton, M., Libby, J. B., Walters, S., Bush, W. S., Engelman, C. D., … Lu, Q. (2024). Leveraging a Novel Phenotype to Identify Complex Traits and Biological Pathways Associated with Resilience to Alzheimer’s Disease. Alzheimer’s & Dementia, 20(S8). Portico. https://doi.org/10.1002/alz.095693

Gunasekaran, T. I., Reyes‐Dumeyer, D., Corvelo, A., Clarke, W. E., Evani, U. S., Byrska‐Bishop, M. S., Basile, A. O., Runnels, A., Musunuri, R. O., Narzisi, G., Faber, K. M., Goate, A. M., Boeve, B. F., Cruchaga, C., Pericak‐Vance, M. A., Haines, J. L., Rosenberg, R. N., Tsuang, D. W., Mejia, D. R., … Vardarajan, B. N. (2024). Beyond GWAS: Investigating Structural Variants and Their Segregation in Familial Alzheimer’s Disease. Alzheimer’s & Dementia, 20(S2). Portico. https://doi.org/10.1002/alz.092677

Kumar, A., Ray, N. R., Cuccaro, M. L., Beecham, G., Huey, E. D., & Reitz, C. (2024). Genetic correlation analysis identifies genetic loci shared between Alzheimer’s disease and primary psychiatric disorders. Alzheimer’s & Dementia, 20(S1). Portico. https://doi.org/10.1002/alz.093421

Tiego, J., Martin, E. A., DeYoung, C. G., Hagan, K., Cooper, S. E., Pasion, R., Satchell, L., Shackman, A. J., Bellgrove, M. A., Fornito, A., Abend, R., Goulter, N., Eaton, N. R., Kaczkurkin, A. N., & Nusslock, R. (2024). Author Correction: Precision behavioral phenotyping as a strategy for uncovering the biological correlates of psychopathology. Nature Mental Health, 2(12), 1544–1544. https://doi.org/10.1038/s44220-024-00366-3

Oskar, S., Mook, J., Smith, M. K., Huang, X., & McDonald, J. A. (2024). Temporal trends in phthalate metabolite exposure of girls in the United States across sociodemographic factors and intersectional social identities: National Health and Nutrition Examination Survey (NHANES) 2001–2018. Environmental Research, 260, 119755. https://doi.org/10.1016/j.envres.2024.119755

Gatto, N. M., Renz, A., Tom, S. E., Lyons, M., Macuiba, J. A., Dodd, T. S., Lind, B. K., Gray, S. L., Meyers, K., Larson, E. B., Nelson, J. C., McEvoy, L. K., Sankaran, S., Key, D., Litondo, J. A., & Crane, P. K. (2024). The Adult Changes in Thought (ACT) Medical Records Abstraction Project: A Resource for Research on Biological, Psychosocial and Behavioral Factors on the Aging Brain and Alzheimer’s Disease and Related Dementias. Brain Sciences, 14(11), 1075. https://doi.org/10.3390/brainsci14111075

Fulkerson, P. C., Lussier, S. J., Bendixsen, C. G., Castina, S. M., Gebretsadik, T., Marlin, J. S., Russell, P. B., Seibold, M. A., Everman, J. L., Moore, C. M., Snyder, B. M., Thompson, K., Tregoning, G. S., Wellford, S., Arbes, S. J., Bacharier, L. B., Calatroni, A., Camargo Jr, C. A., Dupont, W. D., … HEROS Study Team, on behalf of the. (2024). Human Epidemiology and Response to SARS-CoV-2 (HEROS): objectives, design, and enrollment results of a 12-city remote observational surveillance study of households with children, using direct-to-participant methods. American Journal of Epidemiology, 193(10), 1329–1338. https://doi.org/10.1093/aje/kwae077

Wetmore, J. B., Rodriguez, S., Diaz Caro, D., Cabán, M., Uhlmann, W., Goldman, J., Leu, C., Godinez, J. D., Camarillo, I. A., Ferber, R., Blasco, D., Lantigua, R. A., Abraído‐Lanza, A., Chung, W. K., Roberts, J. S., Siegel, K., & Ottman, R. (2024). Designing and implementing the IDEAL Study: A randomized clinical trial of APOE genotype disclosure for late‐onset Alzheimer’s disease in an urban Latino population. Alzheimer’s & Dementia: Translational Research & Clinical Interventions, 10(4). Portico. https://doi.org/10.1002/trc2.70016

Hainsworth, A. H., Blackburn, T. P., Bradshaw, E. M., Elahi, F. M., Gorelick, P. B., Isaacs, J. D., Wallin, A., & Williams, S. C. (2024). The promise of molecular science in brain health. What breakthroughs are anticipated in the next 20 years? Cerebral Circulation - Cognition and Behavior, 7, 100364. https://doi.org/10.1016/j.cccb.2024.100364

Kehm, R. D., Santella, R. M., Herbstman, J. B., Perera, F., Miller, R. L., & Terry, M. B. (2024). Exposure to polycyclic aromatic hydrocarbons during pregnancy and subsequent biomarkers of chronic disease risk in adolescent girls and their mothers. ISEE Conference Abstracts, 2024(1). https://doi.org/10.1289/isee.2024.0521

Libon, D. J., Swenson, R., Price, C. C., Lamar, M., Cosentino, S., Bezdicek, O., Kling, M. A., Tobyne, S., Jannati, A., Banks, R., & Pascual-Leone, A. (2024). Digital assessment of cognition in neurodegenerative disease: a data driven approach leveraging artificial intelligence. Frontiers in Psychology, 15. https://doi.org/10.3389/fpsyg.2024.1415629

Hartinger, S. M., Palmeiro-Silva, Y. K., Llerena-Cayo, C., Blanco-Villafuerte, L., Escobar, L. E., Diaz, A., Sarmiento, J. H., Lescano, A. G., Melo, O., Rojas-Rueda, D., Takahashi, B., Callaghan, M., Chesini, F., Dasgupta, S., Posse, C. G., Gouveia, N., Martins de Carvalho, A., Miranda-Chacón, Z., Mohajeri, N., … Romanello, M. (2024). The 2023 Latin America report of the Lancet Countdown on health and climate change: the imperative for health-centred climate-resilient development. The Lancet Regional Health - Americas, 33, 100746. https://doi.org/10.1016/j.lana.2024.100746

Arias, J. J., Tyler, A. M., Beskow, L. M., Carillo, M. C., Dickinson, S., Goldman, J., Majumder, M. A., Mello, M. M., Snyder, H. M., & Yokoyama, J. S. (2024). Data stewardship in FTLD research: Investigator and research participant views. Alzheimer’s & Dementia, 20(4), 2886–2893. Portico. https://doi.org/10.1002/alz.13719

Poterucha, T. J., Cheng, S., & Ouyang, D. (2024). Exploring the Social Contributors to Biological Aging With Medical AI. JACC: Advances, 100889. https://doi.org/10.1016/j.jacadv.2024.100889

Khan, Z., Malinsky, D., Cohen, A., Pei, S., Berhane, K., Picard, M., Belsky, D., & Wei, Y. (2023). UNDERSTANDING THE DYNAMICS OF INTRINSIC HEALTH USING AGE-DEPENDENT QUANTILE GRAPHICAL MODELS. Innovation in Aging, 7(Supplement_1), 35–36. https://doi.org/10.1093/geroni/igad104.0118

Reyes‐Dumeyer, D., Piriz, A., Soriano, B., Franco, Y., Coronado, Z. D., Recio, P., Mejia, D. R., Medrano, M., Lantigua, R. A., Vardarajan, B. N., Honig, L. S., & Mayeux, R. (2023). Biomarker collection from the Caribbean Hispanic families from Dominican Republic and New York. Alzheimer’s & Dementia, 19(S22). Portico. https://doi.org/10.1002/alz.074856

Reyes‐Dumeyer, D., Piriz, A., Soriano, B., Franco, Y., Coronado, Z. D., Recio, P., Mejia, D. R., Medrano, M., Lantigua, R. A., Vardarajan, B. N., Honig, L. S., & Mayeux, R. (2023). Challenges of recruitment and biomarkers collection in Caribbean Hispanics. Alzheimer’s & Dementia, 19(S15). Portico. https://doi.org/10.1002/alz.078371

Turney, I. C., Lao, P. J., Rivera, A. M., Berroa, J., Brickman, A. M., & Manly, J. J. (2023). The role of lifecourse socioeconomic status and midlife brain health in Black adults. Alzheimer’s & Dementia, 19(S14). Portico. https://doi.org/10.1002/alz.079684

Brickman, A. M., Grodsky, E., Manly, J. J., Muller, C., & Warren, J. R. (2023). High School and Beyond: Cohort Data for Studying the Effects of Education on Midlife Cognition. Alzheimer’s & Dementia, 19(S22). Portico. https://doi.org/10.1002/alz.075607

Miller, G. W., Kalia, V., Lai, Y., Honig, L. S., Mayeux, R., Vardarajan, B. N., Lantigua, R. A., Lee, A. J., Manly, J. J., & Nandakumar, R. (2023). Exposomics for Characterization of Environmental Drivers of AD. Alzheimer’s & Dementia, 19(S23). Portico. https://doi.org/10.1002/alz.077827

Makadia, R., Shoaibi, A., Rao, G. A., Ostropolets, A., Rijnbeek, P. R., Voss, E. A., Duarte-Salles, T., Ramírez-Anguita, J. M., Mayer, M. A., Maljković, F., Denaxas, S., Nyberg, F., Papez, V., Sena, A. G., Alshammari, T. M., Lai, L. Y. H., Haynes, K., Suchard, M. A., Hripcsak, G., & Ryan, P. B. (2023). Evaluating the impact of alternative phenotype definitions on incidence rates across a global data network. JAMIA Open, 6(4). https://doi.org/10.1093/jamiaopen/ooad096

Wood, M., Xiong, L., Wong, Y. Y., Buckley, R. F., Swardfager, W., Masellis, M., Lim, A., Nichols, E., La Joie, R., Casaletto, K., Kumar, R., Dams-O’Connor, K., Palta, P., George, K., Satizabal, C., Barnes, L. L., Schneider, J. A., Pa, J., Brickman, A., … Rabin, J. (2023). 1 Sex Differences in Associations Between APOE ε2 and Longitudinal Cognitive Decline. Journal of the International Neuropsychological Society, 29(s1), 405–406. https://doi.org/10.1017/s1355617723005398

Tiego, J., Martin, E. A., DeYoung, C. G., Hagan, K., Cooper, S. E., Pasion, R., Satchell, L., Shackman, A. J., Bellgrove, M. A., Fornito, A., Abend, R., Goulter, N., Eaton, N. R., Kaczkurkin, A. N., & Nusslock, R. (2023). Precision behavioral phenotyping as a strategy for uncovering the biological correlates of psychopathology. Nature Mental Health, 1(5), 304–315. https://doi.org/10.1038/s44220-023-00057-5

Herbstman, J. B., Romano, M. E., Li, X., Jacobson, L. P., Margolis, A. E., Hamra, G. B., Bennett, D. H., Braun, J. M., Buckley, J. P., Colburn, T., Deoni, S., Hoepner, L. A., Morello-Frosch, R., Riley, K. W., Sathyanarayana, S., Schantz, S. L., Trasande, L., Woodruff, T. J., … Perera, F. P. (2023). Characterizing changes in behaviors associated with chemical exposures during the COVID-19 pandemic. PLOS ONE, 18(1), e0277679. https://doi.org/10.1371/journal.pone.0277679

Kehm, R. D., Walter, E. J., Oskar, S., White, M. L., Tehranifar, P., Herbstman, J. B., Perera, F., Lilge, L., Miller, R. L., & Terry, M. B. (2022). Exposure to polycyclic aromatic hydrocarbons during pregnancy and breast tissue composition in adolescent daughters and their mothers: a prospective cohort study. Breast Cancer Research, 24(1). https://doi.org/10.1186/s13058-022-01546-8

Duan, N., Norman, D., Schmid, C., Sim, I., & Kravitz, R. L. (2022). Personalized Data Science and Personalized (N-of-1) Trials: Promising Paradigms for Individualized Health Care. Harvard Data Science Review. https://doi.org/10.1162/99608f92.8439a336

Greene, A. S., Shen, X., Noble, S., Horien, C., Hahn, C. A., Arora, J., Tokoglu, F., Spann, M. N., Carrión, C. I., Barron, D. S., Sanacora, G., Srihari, V. H., Woods, S. W., Scheinost, D., & Constable, R. T. (2022). Brain–phenotype models fail for individuals who defy sample stereotypes. Nature, 609(7925), 109–118. https://doi.org/10.1038/s41586-022-05118-w

Rose, C., Díaz, M., & Díaz, T. (2022). Addressing Medicine’s Dark Matter. Interactive Journal of Medical Research, 11(2), e37584. https://doi.org/10.2196/37584

Picard, M. (2022). Energy transduction and the mind–mitochondria connection. The Biochemist, 44(4), 14–18. https://doi.org/10.1042/bio_2022_118

Kalia, V., Niedzwiecki, M. M., Bradner, J. M., Lau, F. K., Anderson, F. L., Bucher, M. L., Manz, K. E., Schlotter, A. P., Fuentes, Z. C., Pennell, K. D., Picard, M., Walker, D. I., Hu, W. T., Jones, D. P., & Miller, G. W. (2022). Cross-species metabolomic analysis of tau- and DDT-related toxicity. PNAS Nexus, 1(2). https://doi.org/10.1093/pnasnexus/pgac050

Guo, J., Riley, K. W., Durham, T., Margolis, A. E., Wang, S., Perera, F., & Herbstman, J. B. (2022). Association Studies of Environmental Exposures, DNA Methylation and Children’s Cognitive, Behavioral, and Mental Health Problems. Frontiers in Genetics, 13. https://doi.org/10.3389/fgene.2022.871820

Meron, E., Thaysen, M., Angeli, S., Antebi, A., Barzilai, N., Baur, J. A., Bekker-Jensen, S., Birkisdottir, M., Bischof, E., Bruening, J., Brunet, A., Buchwalter, A., Cabreiro, F., Cai, S., Chen, B. H., Ermolaeva, M., Ewald, C. Y., Ferrucci, L., Florian, M. C., … Scheibye-Knudsen, M. (2022). Meeting Report: Aging Research and Drug Discovery. Aging, 14(2), 530–543. https://doi.org/10.18632/aging.203859

Maurits, M. P., Korsunsky, I., Raychaudhuri, S., Murphy, S. N., Smoller, J. W., Weiss, S. T., Petukhova, L. M., Weng, C., Wei, W.-Q., Huizinga, T. W. J., Reinders, M. J. T., Karlson, E. W., van den Akker, E. B., & Knevel, R. (2022). A framework for employing longitudinally collected multicenter electronic health records to stratify heterogeneous patient populations on disease history. Journal of the American Medical Informatics Association, 29(5), 761–769. https://doi.org/10.1093/jamia/ocac008

Andersen, S., Rizer, S., Souci, L. S., Berlin, M., Harris, E., Cosentino, S., Sebastiani, P., & Perls, T. (2021). Longevity Studies in the New Normal: The Move to Virtual Assessment. Innovation in Aging, 5(Supplement_1), 136–136. https://doi.org/10.1093/geroni/igab046.526

Sharifian, N., Zaheed, A. B., Morris, E. P., Sol, K., Manly, J. J., Schupf, N., Mayeux, R., Brickman, A. M., & Zahodne, L. B. (2021). Social network characteristics moderate associations between cortical thickness and cognitive functioning in older adults. Alzheimer’s & Dementia, 17(S7). Portico. https://doi.org/10.1002/alz.052227