Publications by authors named "D A Bergman"
Oral vaccination of wildlife against rabies via the distribution of vaccine-laden baits is used widely as a management tool in Europe and North America. Over the past several decades, successful programs have targeted important reservoirs, including coyotes, foxes, raccoon dogs, and raccoons, for prevention and control. However, other species (e.
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- The study investigates how prenatal exposure to heavy metals (Lead, arsenic, cadmium, selenium) relates to adverse pregnancy outcomes, particularly focusing on differences between low-risk and high-risk groups of women with varying preterm birth histories.
- 404 women participated, and their blood metal levels were measured, showing significant differences in concentration between low-risk and high-risk groups, with low-risk having higher levels of these metals.
- Despite the findings of elevated metal levels, the study found no significant correlation between these metals and negative pregnancy outcomes, indicating a need for more research to explore the effects of these metals on pregnancy.
Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a risk factor for cardiovascular disease. However, whether family members of individuals with MASLD also share an increased cardiovascular risk is unknown.
Methods: We created a nationwide multigenerational cohort study identifying all family members of Swedish adults diagnosed with biopsy-proven MASLD (1969-2017) and of matched general population comparators (by age, sex, calendar year, and county of residence).
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- Pancreatic adenocarcinoma (PDAC) is a challenging cancer to treat with immunotherapies, but certain intratumoral structures called tertiary lymphoid structures (TLS) have been linked to better patient survival outcomes.
- A comprehensive study analyzed 26 PDAC tumors using advanced techniques like machine learning and spatial transcriptomics to better understand the role of TLS within tumors.
- The findings revealed specific gene expression patterns in TLS that correlate with improved survival, highlighting the importance of TLS maturation and its interactions with immune cells and the tumor environment.
Agent-based models (ABMs) have become essential tools for simulating complex biological, ecological, and social systems where emergent behaviors arise from the interactions among individual agents. Quantifying uncertainty through global sensitivity analysis is crucial for assessing the robustness and reliability of ABM predictions. However, most global sensitivity methods demand substantial computational resources, making them impractical for highly complex models.
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