Research Articles
Integrating MSPA and MCR Models: A Framework for Enhanced Spatial Analysis in Drug Development
This article provides a comprehensive examination of the integrated Morphological Spatial Pattern Analysis (MSPA) and Minimum Cumulative Resistance (MCR) modeling framework, translating its proven ecological applications into biomedical research contexts.
Defining Ecological Network Structure and Function: A Cross-Disciplinary Framework for Biomedical Research
This article provides a comprehensive framework for defining the structure and function of ecological networks, tailored for researchers, scientists, and drug development professionals.
From Landscape to Lab: Applying the Pattern-Process-Function Framework to Ecological and Pharmacodynamic Networks
This article explores the transformative potential of the pattern-process-function (PPF) framework, a cornerstone of landscape ecology, for application in pharmacological research and drug development.
Spatial Operators in Landscape Ecology: A Guide to Concepts, Methods, and Applications for Researchers
This article provides a comprehensive exploration of spatial operators in landscape ecology, serving as a critical resource for researchers and scientists.
Assessing Accuracy in Machine Learning Behavior Classification: Methods, Challenges, and Applications in Biomedical Research
This article provides a comprehensive framework for assessing the accuracy of machine learning (ML) models in behavioral classification, with a specific focus on applications in drug development and clinical research.
Cross-Validation of Behavior Classification Across Species: Enhancing Robustness in Preclinical Research and Drug Development
Robust behavior classification is fundamental to translational research, yet methods validated in one species often fail to generalize, creating a significant bottleneck in drug discovery.
Validating Accelerometer-Derived Energy Expenditure: A Comprehensive Guide for Biomedical Research and Clinical Applications
This article provides a comprehensive framework for validating accelerometer-derived physical activity energy expenditure (PAEE) estimates, a critical capability for biomedical research and clinical trials.
Beyond the Data: How Tag Placement Influences Dynamic Body Acceleration Metrics in Biomedical Research
This article provides a comprehensive analysis for researchers and drug development professionals on the critical, yet often overlooked, impact of biologger tag placement on the accuracy and interpretation of Dynamic...
Supervised vs. Unsupervised Learning for Accelerometer Data: A Practical Guide for Biomedical Behavior Classification
This article provides a comprehensive comparison of supervised and unsupervised machine learning approaches for classifying behavior from accelerometer data, tailored for researchers and professionals in drug development and biomedical science.
Accelerometer vs. GPS for Animal Behavior Classification: A Comprehensive Guide for Biomedical Research
This article provides a systematic comparison of accelerometer and GPS technologies for classifying animal behavior, a critical tool for biomedical and pharmacological research.