Dr. Minh-Khang Le, Cedars-Sinai Medical Center, United States
Minh-Khang Le, M.D., Ph.D., is a Postdoctoral Research Scientist in the Department of Pathology and Computational Biomedicine at Cedars-Sinai Medical Center in Los Angeles, California. He obtained his Doctor of Medicine degree from the University of Medicine and Pharmacy at Ho Chi Minh City, graduating in the top 10% of his class, and completed his Ph.D. in Pathology at the University of Yamanashi in Japan. His research focuses on integrating histopathology, molecular profiles, and clinicopathological features to characterize human cancers, particularly lymphoid and hematopoietic neoplasms. Dr. Le has contributed to several projects involving histopathology, molecular analyses, and the development of clinicopathological machine-learning models. As a strong advocate for the transformative potential of artificial intelligence in pathology, he aims to enhance the understanding and treatment of cancer. In addition to his postdoctoral position, he has held research roles at various institutions, including the University of Iowa Hospitals and Clinics and the University of Oklahoma Health Sciences Center. Dr. Le’s work has led to impactful advancements in digital pathology and cancer research.
Professional Profile:
SCOPUS
Researcher Suitability Summary for Best Researcher Award:
Minh-Khang Le is an exemplary candidate for the Best Researcher Award, showcasing a profound commitment to advancing the field of digital pathology and computational biomedicine. His research is particularly focused on integrating histopathological and molecular profiles to enhance the understanding and characterization of human cancers, especially lymphoid and hematopoietic neoplasms. This multidisciplinary approach not only reflects his extensive knowledge but also his dedication to translating complex data into meaningful clinical insights.
Education 🎓
- Postdoctoral Research Scientist
Cedars-Sinai Medical Center, Department of Computational Biomedicine and Pathology
July 2024 – Present
8700 Beverly Blvd, Los Angeles, CA, USA
- Ph.D. Student
University of Yamanashi, Department of Pathology
April 2020 – March 2024
GPA: 3.5/4.0
1110 Shimokato, Chuo, Yamanashi, Japan
- Doctor of Medicine
University of Medicine and Pharmacy at Ho Chi Minh City
October 2013 – September 2019
Degree Classification: Good (Top 10% of the Course)
Ho Chi Minh City, Vietnam
Work Experience 💼
- Postdoctoral Research Scientist
Cedars-Sinai Medical Center, Department of Computational Biomedicine and Pathology
July 2024 – Present
- Part-time Researcher
New Energy and Industrial Technology Development Organization (NEDO)
April 2022 – Present
- Part-time Researcher
Department of Pathology, The University of Iowa Hospitals and Clinics, Iowa, USA
April 2022 – Present
- Research Assistant
Department of Pathology, University of Yamanashi
April 2020 – Present
- Teaching Assistant
Department of Pathology, University of Yamanashi
April 2020 – Present
- Part-time Researcher
Department of Neurosurgery, The University of Oklahoma Health Sciences Center, Oklahoma, USA
April 2021 – March 2022
Achievements, Awards, and Honors 🏆
- Top 10% of the Course in Doctor of Medicine program at the University of Medicine and Pharmacy at Ho Chi Minh City
- GPA of 3.5/4.0 in Ph.D. studies at the University of Yamanashi
Publication Top Notes:
Clinical implication of PRAME immunohistochemistry in differentiating melanoma in situ and dysplastic nevus in non-acral nevus-associated melanoma in situ: An institutional experience and meta-analysis
A Novel Artificial Intelligence-Based Parameterization Approach of the Stromal Landscape in Merkel Cell Carcinoma: A Multi-Institutional Study
Comprehensive analysis of distinct circadian clock subtypes of adult diffuse glioma and their associations with clinicopathological, genetic, and epigenetic profiles
CXCL5 expression is associated with active signals of macrophages in the microenvironment of papillary thyroid carcinoma
Severe asthmatic airways have distinct circadian clock gene expression pattern associated with WNT signaling