Research Articles
Handling Large Movement Datasets: A 2025 Guide for Biomedical Research and Drug Development
This article provides a comprehensive guide for researchers and drug development professionals on managing and analyzing large-scale human movement data.
Demystifying the Black Box: Interpretable Machine Learning for Biological Discovery and Drug Development
The adoption of sophisticated machine learning (ML) models in biology and drug discovery is hampered by their 'black box' nature, where internal decision-making processes are opaque.
Minimizing Impact: Advanced Strategies for Reducing Animal-Borne Telemetry Tag Effects on Wildlife and Data
Animal-borne telemetry is a pivotal tool for ecological and physiological research, yet the tags themselves can alter animal behavior, energetics, and welfare, thereby compromising data validity.
Minimizing Observer Bias in Behavioral Studies: A Comprehensive Guide for Researchers and Drug Development Professionals
This article provides a comprehensive framework for understanding, mitigating, and validating strategies against observer bias in behavioral and clinical research.
Transforming Habitat Analysis: How Terrestrial Laser Scanning LiDAR Reveals 3D Ecosystem Structure and Function
This article provides a comprehensive overview of Terrestrial Laser Scanning (TLS) LiDAR and its transformative role in habitat analysis for researchers and scientists.
Unsupervised Machine Learning for Behavior Patterns: A Guide for Biomedical Research and Drug Discovery
This article provides a comprehensive exploration of unsupervised machine learning (UML) for deciphering complex behavior patterns, with a specialized focus on applications in biomedical research and drug discovery.
Social Network Analysis in Animal Behavior: From Wild Societies to Biomedical Research
This article provides a comprehensive overview of Social Network Analysis (SNA) in animal behavior, tailored for researchers and drug development professionals.
Optimal Foraging Theory: From Ecological Foundations to Cutting-Edge Applications in Biomedicine and Drug Development
This article provides a comprehensive exploration of Optimal Foraging Theory (OFT), a framework that uses mathematical optimization to understand decision-making in resource acquisition.
DeepLabCut for Animal Behavior Analysis: A Comprehensive Guide for Biomedical Researchers
This article provides a complete resource for researchers and drug development professionals seeking to implement DeepLabCut, a powerful deep learning-based toolkit for markerless pose estimation.
Statistical Methods in Movement Ecology: From Animal Tracking to Biomedical Applications
This article provides a comprehensive overview of the statistical frameworks used to analyze animal movement data, tailored for researchers and drug development professionals.