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Urinary incontinence (UI) in older women in low- and middle-income countries: a rapid review and case study from Burkina Faso.
Front Glob Womens Health
January 2025
Northwestern University Feinberg School of Medicine, Robert J. Havey Institute for Global Health, Chicago, IL, United States.
The prevalence of urinary incontinence (UI) in older women in low- and middle-income countries (LMICs) is not well understood. We conducted a rapid literature review to assess the burden of UI in this population and contextualize findings from a household survey of women aged 40 and older in Nouna, in northwestern Burkina Faso. The rapid review included 21 survey articles.
View Article and Find Full Text PDFFabrication and functional validation of a hybrid biomimetic nanovaccine (HBNV) against -mutant melanoma.
Bioact Mater
April 2025
Wellman Center for Photomedicine and Department of Dermatology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Cancer nanovaccines hold the promise for personalization, precision, and pliability by integrating all the elements essential for effective immune stimulation. An effective immune response requires communication and interplay between antigen-presenting cells (APCs), tumor cells, and immune cells to stimulate, extend, and differentiate antigen-specific and non-specific anti-tumor immune cells. The versatility of nanomedicine can be adapted to deliver both immunoadjuvant payloads and antigens from the key players in immunity (i.
View Article and Find Full Text PDFIntegrating pharmacogenomics and cheminformatics with diverse disease phenotypes for cell type-guided drug discovery.
Genome Med
January 2025
Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, 181 Longwood Avenue, Boston, MA, 02115, USA.
Background: Large-scale pharmacogenomic resources, such as the Connectivity Map (CMap), have greatly assisted computational drug discovery. However, despite their widespread use, CMap-based methods have thus far been agnostic to the biological activity of drugs as well as to the genomic effects of drugs in multiple disease contexts. Here, we present a network-based statistical approach, Pathopticon, that uses CMap to build cell type-specific gene-drug perturbation networks and integrates these networks with cheminformatic data and diverse disease phenotypes to prioritize drugs in a cell type-dependent manner.
View Article and Find Full Text PDFProof-of-concept for integrating multimodal digital health assessments into lifestyle interventions for older adults with dementia risk factors.
J Behav Med
January 2025
Department of Psychiatry, Center for Health Outcomes and Interdisciplinary Research, Massachusetts General Hospital, One Bowdoin Square, 1st Floor, Suite 100, Boston, MA, 02114, USA.
Multimodal digital health assessments overcome the limitations of patient-reported outcomes by allowing for continuous and passive monitoring but remain underutilized in older adult lifestyle interventions for brain health. Therefore, we aim to (1) report ecological momentary assessment (EMA) and ActiGraph adherence among older adults during a lifestyle intervention; and (2) use dynamic data collected via EMA and ActiGraph to examine person-specific patterns of mindfulness, steps, and sleep throughout the intervention. We analyzed EMA and ActiGraph data from a pilot study of the 8-week My Healthy Brain program (N = 10) lifestyle group for older adults (60+) with subjective cognitive decline.
View Article and Find Full Text PDFFrom physical activity patterns to cognitive status: development and validation of novel digital biomarkers for cognitive assessment in older adults.
Int J Behav Nutr Phys Act
January 2025
Department of Rehabilitation Medicine, West China Hospital of Sichuan University, Chengdu, China.
Background: This study aims to investigate the associations between signal-level physical activity (PA) features derived from wrist accelerometry data and cognitive status in older adults, and to evaluate their potential predictive value when combined with demographics.
Methods: We analyzed PA data from 3,363 older adults (NHATS: n = 747; NHANES: n = 2,616), with each participant contributing a complete 3-day continuous activity sequence. We extracted the most relevant PA features associated with cognitive function using feature engineering and recursive feature elimination.
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