This article provides a detailed examination and validation of two key ecological risk assessment (ERA) methods used in fisheries management: Productivity and Susceptibility Analysis (PSA) and the Sustainability Assessment for...
This article provides a comprehensive analysis of the challenges in linking controlled laboratory data to complex real-world field conditions, tailored for researchers, scientists, and drug development professionals.
This article provides a comprehensive examination of strategies to refine and optimize the tiered framework for ecological risk assessment (ERA), tailored for researchers, scientists, and drug development professionals.
Conducting robust ecological risk assessments for species with limited empirical data is a critical challenge in environmental science, conservation, and biomedical research, where model organism data must often be extrapolated.
This article explores the paradigm shift from traditional, siloed risk assessment to a resilience-focused framework in biomedical research and drug development.
This article provides a comprehensive examination of extrapolation models as essential tools for translating biological knowledge across different levels of organization—from molecules and cells to whole organisms and populations.
This article provides a comprehensive examination of the critical challenge of endpoint mismatch in biomedical and clinical research, where differences in how and when outcomes are measured introduce bias and...
This article provides a comprehensive overview of the paradigm shifts and methodological innovations modernizing traditional ecological risk assessment (ERA).
This article provides a comprehensive guide to the bivariate Moran's I index, a pivotal spatial statistics tool for analyzing the correlation between two geographically weighted variables.
This article provides a comprehensive analysis of the inherent subjectivity in assigning landscape vulnerability indices, a critical methodological challenge affecting the reliability of ecological and climate risk assessments.