Karlawish, Jason H.

KL-VS heterozygosity is associated with lower amyloid-dependent tau accumulation and memory impairment in Alzheimer’s disease

Neitzel, J., Franzmeier, N., Rubinski, A., Dichgans, M., Brendel, M., (ADNI), A. D. N. I., Weiner, M., Aisen, P., Petersen, R., Jack, C. R., et al. (2021) · Nature Communications

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 57

Multimodal Hippocampal Subfield Grading For Alzheimer’s Disease Classification

Hett, K., Ta, V.-T., Catheline, G., Tourdias, T., Manjón, J. V., Coupé, P., Initiative, A. D. N., Weiner, M. W., Aisen, P., Petersen, R., et al. (2019) · Scientific Reports

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 49

The Problem of Aducanumab for the Treatment of Alzheimer Disease

Alexander, G. C., & Karlawish, J. (2021) · Annals of Internal Medicine

Alzheimer's disease research and treatmentsBiomedical Ethics and Regulation

Cited by 47

Genetic studies of plasma analytes identify novel potential biomarkers for several complex traits

Deming, Y., Xia, J., Cai, Y., Lord, J., Del-Aguila, J. L., Fernandez, M. V., Carrell, D., Black, K., Budde, J., Ma, S., et al. (2016) · Scientific Reports

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 28

The promise of AI and technology to improve quality of life and care for older adults

Abadir, P. M., Chellappa, R., Choudhry, N., Demiris, G., Ganesan, D., Karlawish, J., Li, R. M., Moore, J. H., Walston, J. D., AITCs, D. &. A. O. T., et al. (2023) · Nature Aging

Technology Use by Older AdultsArtificial Intelligence in Healthcare and Education

Cited by 24

Towards cascading genetic risk in Alzheimer’s disease

Altmann, A., Aksman, L. M., Oxtoby, N. P., Young, A. L., ADNI, Weiner, M., Aisen, P., Petersen, R., Weiner, M., Aisen, P., et al. (2024) · Brain

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 18

Deep learning to quantify the pace of brain aging in relation to neurocognitive changes

Yin, C., Imms, P., Chowdhury, N. F., Chaudhari, N. N., Ping, H., Wang, H., Bogdan, P., Irimia, A., Initiative, T. A. D. N., Weiner, M., et al. (2025) · Proceedings of the National Academy of Sciences

Dementia and Cognitive Impairment ResearchAdvanced MRI Techniques and Applications

Cited by 18

Circular-SWAT for deep learning based diagnostic classification of Alzheimer's disease: application to metabolome data

Jo, T., Kim, J., Bice, P., Huynh, K., Wang, T., Arnold, M., Meikle, P. J., Giles, C., Kaddurah-Daouk, R., Saykin, A. J., et al. (2023) · eBioMedicine

Dementia and Cognitive Impairment ResearchMetabolomics and Mass Spectrometry Studies

Cited by 15

E.U./U.S. CTAD TASK FORCE ON ALZHEIMER\'S TRIAL POPULATIONS

Vellas, B., Sampaio, C., Bateman, R., Boxer, A., Carrillo, M. C., Cummings, J., Dubois, B., Hampel, H., Katz, R., Khachaturian, Z., et al. (2014) · The Journal of Prevention of Alzheimer's Disease

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 5

Dementia and the Right to Vote

Karlawish, J. H., American Psychological Association, Bonnie, R. J., Appelbaum, P. S., Lyketsos, C., James, B., & Knopman, D. (2004) · PsycEXTRA Dataset

Healthcare Decision-Making and RestraintsDisability Rights and Representation

Cited by 0