Harnessing EHR data for health research

AS Tang, SR Woldemariam, S Miramontes… - Nature Medicine, 2024 - nature.com
With the increasing availability of rich, longitudinal, real-world clinical data recorded in
electronic health records (EHRs) for millions of patients, there is a growing interest in …

Neuroimmune contributions to Alzheimer's disease: a focus on human data

V Haage, PL De Jager - Molecular Psychiatry, 2022 - nature.com
The past decade has seen the convergence of a series of new insights that arose from
genetic and systems analyses of Alzheimer's disease (AD) with a wealth of epidemiological …

Leveraging electronic health records and knowledge networks for Alzheimer's disease prediction and sex-specific biological insights

AS Tang, KP Rankin, G Cerono, S Miramontes, H Mills… - Nature Aging, 2024 - nature.com
Identification of Alzheimer's disease (AD) onset risk can facilitate interventions before
irreversible disease progression. We demonstrate that electronic health records from the …

[HTML][HTML] Interpretable deep learning translation of GWAS and multi-omics findings to identify pathobiology and drug repurposing in Alzheimer's disease

J Xu, C Mao, Y Hou, Y Luo, JL Binder, Y Zhou… - Cell reports, 2022 - cell.com
Translating human genetic findings (genome-wide association studies [GWAS]) to
pathobiology and therapeutic discovery remains a major challenge for Alzheimer's disease …

Drug repurposing for Alzheimer's disease from 2012–2022—A 10-year literature review

ME Grabowska, A Huang, Z Wen, B Li… - Frontiers in …, 2023 - frontiersin.org
Background: Alzheimer's disease (AD) is a debilitating neurodegenerative condition with
few treatment options available. Drug repurposing studies have sought to identify existing …

[HTML][HTML] Brain health in diverse settings: How age, demographics and cognition shape brain function

H Hernandez, S Baez, V Medel, S Moguilner… - Neuroimage, 2024 - Elsevier
Diversity in brain health is influenced by individual differences in demographics and
cognition. However, most studies on brain health and diseases have typically controlled for …

Demographic reporting across a decade of neuroimaging: a systematic review

E Sterling, H Pearl, Z Liu, JW Allen… - Brain Imaging and …, 2022 - Springer
Diversity of participants in biomedical research with respect to race, ethnicity, and biological
sex is crucial, particularly given differences in disease prevalence, recovery, and survival …

Similarities and differences in Alzheimer's dementia comorbidities in racialized populations identified from electronic medical records

SR Woldemariam, AS Tang, TT Oskotsky… - Communications …, 2023 - nature.com
Background Alzheimer's dementia (AD) is a neurodegenerative disease that is
disproportionately prevalent in racially marginalized individuals. However, due to research …

Uncovering Important Diagnostic Features for Alzheimer's, Parkinson's and Other Dementias Using Interpretable Association Mining Methods

K Noshin, MR Boland, B Hou, V Lu… - … 2025: Proceedings of …, 2024 - World Scientific
Alzheimer's Disease and Related Dementias (ADRD) afflict almost 7 million people in the
USA alone. The majority of research in ADRD is conducted using post-mortem samples of …

Few shot learning for phenotype-driven diagnosis of patients with rare genetic diseases

E Alsentzer, MM Li, SN Kobren, A Noori… - medRxiv, 2022 - medrxiv.org
There are more than 7,000 rare diseases, some affecting 3,500 or fewer patients in the US.
Due to clinicians' limited experience with such diseases and the heterogeneity of clinical …