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next >- Immune mechanisms of cardiac aging.
- Statins in Kidney Transplant Recipients: Usage, All-Cause Mortality, and Interactions with Maintenance Immunosuppressive Agents.
- "We've Got to Bring Information to Where People Are Comfortable": Community-Based Advance Care Planning with the Black Community.
- Association of cardiovascular risk factors and blood biomarkers with cognition: The HABS-HD study.
- Genetic Networks of Alzheimer's Disease, Aging, and Longevity in Humans.
- Microglia-mediated T cell infiltration drives neurodegeneration in tauopathy.
- Development and validation of the fall-related injury risk in nursing homes (INJURE-NH) prediction tool.
- Analysis of the Readability and Accountability of Online Patient Education Materials Related to Glaucoma Diagnosis and Treatment.
- Cardiac Mechanics and Kidney Function Decline in the Cardiovascular Health Study.
- GET FIT: A Randomized Clinical Trial of Tai Ji Quan Versus Strength Training for Fall Prevention After Chemotherapy in Older, Postmenopausal Women Cancer Survivors.
- Evaluating the Association Between Genetically Proxied Neurodevelopmental Language Phenotypes and the Risk of Primary Progressive Aphasia.
- MRI-based basal forebrain atrophy and volumetric signatures associated with limbic TDP-43 compared to Alzheimer's disease pathology.
- The association between frailty and incident cardiovascular disease events in community-dwelling healthy older adults.
- Nocardia
- Risk of Surgical Intervention in Children with Diagnoses of Cancer and Preoperative Malnutrition: A National Analysis.
- Hospital Performance on Failure to Rescue Correlates With Likelihood of Home Discharge.
- Interpreting the risk analysis index of frailty in the context of surgical oncology.
- Functional status and therapy for older adults with diffuse large B-cell lymphoma in nursing homes: A population-based study.
- A randomised controlled trial of long NY-ESO-1 peptide-pulsed autologous dendritic cells with or without alpha-galactosylceramide in high-risk melanoma.
- Identifying treatment heterogeneity in atrial fibrillation using a novel causal machine learning method.
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