D. Lopez results 293
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Characterizing primary care in breast cancer survivors after completion of cancer therapyNARA Subscribed
Purpose Despite the potential for primary care to optimize comorbidity management among breast cancer survivors, engagement with primary care providers (PCPs) remains low. This study comprehensively examined PCP-led care after breast cancer treatment to identify survivors who may benefit from targeted interventions to improve primary care engagement. Methods We identified 1,582 posttreatment breast cancer survivors from the U....
Confirmed Outbreaks of Streptococcosis Caused by Streptococcus agalactiae Serotype Ia in Nile Tilapia Culture From Campeche, MexicoNARA Subscribed
Streptococcus agalactiae was confirmed as the etiologic agent of streptococcosis in Nile tilapia ( Oreochromis niloticus ) from Campeche, Mexico, during a cross‐sectional investigation of eight semi‐intensive farms (2021–2022) that yielded virulent strains in a challenge assay. Standard bacteriology, histopathology, API‐20 Strep phenotyping, one‐step PCR, and real‐time PCR confirmed S. agalactiae in five farms (62.5%). Gross a...
A climate services organization supporting coastal resilience: lessons from the Stone Living LabNARA Subscribed
There is a growing recognition that effective climate adaptation requires organizations that can translate science into policy-relevant, place-based implementation. The Stone Living Lab (SLL) was established as a climate services organization to help bridge the gap between climate adaptation research and real-world application. In this paper, we present the Lab as a model for how universities and NGOs can partner with governme...
Non‐Invasive Measures of DNA Methylation Capture Molecular Aging in Wild Capuchin MonkeysNARA Subscribed
Elucidating the socio‐ecological factors that shape patterns of aging in long‐lived vertebrates is of broad interest to evolutionary biologists, geroscientists, and ecologists. However, research on aging in wild populations still faces challenges due to the difficulty of measuring cellular hallmarks of aging non‐invasively and the difficulty of accurately estimating age in long‐lived species. Here, we demonstrate that cellular...
Lewy body disease (LBD) and Alzheimer’s disease (AD) are the most common causes of cognitive decline and dementia and are associated with characteristic alterations in resting-state electroencephalographic (rsEEG) activity. This multicenter exploratory study investigated periodic and aperiodic rsEEG features in patients with cognitive decline due to Lewy body disease (LBCD) and Alzheimer’s disease (ADCD), compared with cogniti...
Climate Vulnerability Assessments in Marine Fisheries: Taking Stock and Looking AheadNARA Subscribed
Climate Vulnerability Assessments (CVAs) are important tools for understanding and addressing the impacts of climate change on marine fisheries. Since their introduction in the 1990s, CVAs have evolved from theoretical frameworks to practical applications aimed at fostering climate‐resilient fisheries management. This review synthesises recent advancements in CVAs, focusing on methodologies, geographic applications, stakeholde...
Interpretable deep learning reveals spatiotemporal MRI features of brain aging that align with neurodegenerationNARA Subscribed
Cortical thinning and atrophy are hallmarks of brain aging that have been characterized using magnetic resonance imaging (MRI). Brain aging involves many neuroanatomic features whose effects on brain structure remain unexplored. To address this challenge, we trained interpretable deep neural networks (DNNs) to estimate brain age (BA) from T 1 -weighted ( T 1 w) MRI. By identifying MRI features unapparent to humans, DNNs can fi...
Background Despite important advancements in diagnostic modalities, routine use of therapeutic drug monitoring (TDM) and newer antifungal therapies, there is a paucity of contemporary data regarding clinical characteristics and outcomes of invasive aspergillosis (IA) in the United States. Methods Single-center, retrospective cohort study of hospitalized patients between 2015 and 2020, who had active hematological malignancy (H...
A Machine Learning Approach to Assess the Relevance of Interspecific Acoustic Cetacean Co‐Occurrence When Modeling Species PresenceNARA Subscribed
Ecological models are essential for understanding cetacean distribution, particularly in marine ecosystems where direct observation is challenging. The present study applied passive acoustic monitoring (PAM) and artificial neural networks (ANN) to model the presence of dolphins (Family Delphinidae) in the Cerralvo Channel, Gulf of California, Mexico, incorporating 10 environmental descriptors and introducing the variable of in...
Aim Microbiome rewilding seeks to harness plant‐microbe interactions for sustainable agriculture, assuming that ancestral microbial partners have been lost during domestication and geographical spread. Designing microbiome rewilding strategies requires a quantitative and predictive understanding of the fundamental ecological processes—selection, dispersal, and drift—driving microbial assembly and persistence in the rhizosphere...
Alzheimer’s disease (AD) disproportionately affects women and carriers of the apolipoprotein E ε4 allele (APOE4), yet little is known about how sex and APOE interact to influence white matter (WM) integrity during disease progression. We integrated diffusion MRI and matched blood transcriptomic data to investigate these interactions and their underlying biological mechanisms. WM microstructure was quantified using diffusion te...