Hui-Lin Gan
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Hui-Lin Gan has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Asim Muhammad
Department of Veterinary Medicine, School of Coastal Agriculture, Guangdong Ocean University, Zhanjiang 524088, China
1 shared publication - Jia-Hong Xie
Department of Veterinary Medicine, School of Coastal Agriculture, Guangdong Ocean University, Zhanjiang 524088, China
1 shared publication - Jin-Jun Chen
Department of Veterinary Medicine, School of Coastal Agriculture, Guangdong Ocean University, Zhanjiang 524088, China
1 shared publication - Xin-Yu Zheng
Department of Veterinary Medicine, School of Coastal Agriculture, Guangdong Ocean University, Zhanjiang 524088, China
1 shared publication - Yan-Jun Chen
Department of Veterinary Medicine, School of Coastal Agriculture, Guangdong Ocean University, Zhanjiang 524088, China
1 shared publication - Yu-Xin Guo
Department of Veterinary Medicine, School of Coastal Agriculture, Guangdong Ocean University, Zhanjiang 524088, China
1 shared publication
Latest Publications
- Open Access
- 24 September 2025
- Published by MDPI AG in Biophysica
- Vol. 5 (4) , 43
AI-Enhanced Morphological Phenotyping in Humanized Mouse Models: A Transformative Approach to Infectious Disease Research
Humanized mouse models offer human-specific platforms for investigating complex host–pathogen interactions, addressing shortcomings of conventional preclinical models that often fail to replicate human immune responses accurately. This integrative review examines the intersection of advanced morphological phenotyping and artificial intelligence (AI) to enhance predictive capacity and translational relevance in infectious disease research. A structured literature search was conducted across PubMed, Scopus, and Web of Science (2010–2025), applying defined inclusion and exclusion criteria. Evidence synthesis highlights imaging modalities, AI-driven phenotyping, and standardization strategies, supported by comparative analyses and quality considerations. Persistent challenges include variability in engraftment, lack of harmonized scoring systems, and ethical governance. We propose recommendations for standardized protocols, risk-of-bias mitigation, and collaborative training frameworks to accelerate adoption of these technologies in translational medicine.
- 24 September 2025
- Published by MDPI AG in Biophysica
- Vol. 5 (4) , 43
Open AccessAI-Enhanced Morphological Phenotyping in Humanized Mouse Models: A Transformative Approach to Infectious Disease Research
Humanized mouse models offer human-specific platforms for investigating complex host–pathogen interactions, addressing shortcomings of conventional preclinical models that often fail to replicate human immune responses accurately. This integrative review examines the intersection of advanced morphological phenotyping and artificial intelligence (AI) to enhance predictive capacity and translational relevance in infectious disease research. A structured literature search was conducted across PubMed, Scopus, and Web of Science (2010–2025), applying defined inclusion and exclusion criteria. Evidence synthesis highlights imaging modalities, AI-driven phenotyping, and standardization strategies, supported by comparative analyses and quality considerations. Persistent challenges include variability in engraftment, lack of harmonized scoring systems, and ethical governance. We propose recommendations for standardized protocols, risk-of-bias mitigation, and collaborative training frameworks to accelerate adoption of these technologies in translational medicine.