Welcome to EUCLID: Intergovernmental  Excellence in Online Learning

An Intergovernmental institution under
United Nations Treaty Series 49006 / 49007

EUCLID Faculty Profiles

Prof. Dr. Basile Njei

Professor of Global Health and Bioethics

Basile Njei is a physician-scientist, gastroenterologist-hepatologist, and clinical data scientist whose work sits at the intersection of cardiovascular disease, metabolic liver disease, and artificial intelligence. He currently serves as Associate Director (Bioinformatics) for the Clinical and Translational Core at the Yale Liver Center and Co-Director of the International Medicine Program at Yale University School of Medicine. He is also a Distinguished Professor of Global Health and Bioethics at EUCLID (Euclid University). His research focuses on metabolic dysfunction-associated steatotic liver disease (MASLD), advanced liver fibrosis, cardiovascular–liver risk, health disparities, and the development of explainable AI tools for hepatology.

Njei is a Fellow of the Royal College of Physicians (FRCP) and a Fulbright Specialist. He has authored over 100 peer-reviewed publications and serves on the editorial boards of several journals, including JAMA, Clinical Medicine (Royal College of Physicians), and the Pan African Medical Journal. His work has been recognized with the Dame Sheila Sherlock Travelling Fellowship in Hepatology at the University of Oxford and selection for the "300 Faces of Edinburgh Medical School" during its 300th anniversary celebrations.

Njei received his MD and BSc in Biomedical Sciences from the University of Yaoundé I. He holds an MPH from the University of Edinburgh and a PhD in Investigative Medicine–Data Science from Yale University. He subsequently completed an MBA in Artificial Intelligence from the University of Cumbria (expected 2026) and a Certificate in Agentic Artificial Intelligence from Johns Hopkins Whiting School of Engineering (2026).

His postgraduate medical training includes an Internal Medicine residency at the University of Connecticut Health Center, a Gastroenterology and Hepatology fellowship at Yale New Haven Hospital, and NIH/NIDDK-supported research training (T32 Investigative Hepatology Fellow, Yale). He has also undertaken advanced training in global clinical research at Harvard Medical School, artificial intelligence at the University of Oxford's Saïd Business School, and physician leadership at Stanford University.

Research & Interests + Publications:

Njei’s research program is highly interdisciplinary, bridging hepatology, cardiology, data science, and global health. His scientific contributions can be consolidated into the following thematic areas: 1. Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD/NAFLD) and Advanced Fibrosis Development of FibroX, a machine-learning model for detecting and prognosticating advanced fibrosis in MASLD. Explainable machine learning models for prediction of high-risk nonalcoholic steatohepatitis (Scientific Reports, 2024). Diagnosis and management of lean MASLD: a systematic review. AI-based screening for at-risk MASLD and advanced fibrosis in the U.S. population. Validation of AI tools for improving MASLD advanced liver fibrosis diagnosis in primary care. Mortality, hepatic decompensation, and cardiovascular outcomes in lean vs. non-lean MASLD cirrhosis. 2. Hepatocellular Carcinoma (HCC) and Liver Cancer Epidemiology Emerging trends in hepatocellular carcinoma incidence and mortality (Hepatology, 2015). Prognosis of fibrolamellar HCC versus conventional HCC: a systematic review and meta-analysis (Gastrointestinal Cancer Research, 2014). Survival after curative-intent treatment for HCC among patients with vs. without non-alcoholic fatty liver disease (Alimentary Pharmacology & Therapeutics, 2017). Cancer disparities in lean vs. non-lean MASH: insights from a national inpatient sample. The association between metabolic syndrome and primary liver cancer: a meta-analysis. 3. Artificial Intelligence and Digital Health in Hepatology Large language models for diagnosis and prognosis of chronic liver diseases: a systematic review. Artificial intelligence in medical imaging for cholangiocarcinoma diagnosis. AI-enabled electrocardiography for risk prediction in chronic liver disease: a systematic review. FibroAgent: an agentic AI tool for liver fibrosis screening and clinical decision support in MASLD. Using large language models to predict advanced liver fibrosis in MASLD: a proof-of-concept analysis. Digital twins in hepatology and gastroenterology: a scoping review. 4. Cardiovascular–Liver (Cardio-Hepatology) Interactions Liver fibrosis and cardiovascular events (Southern Medical Journal, 2025). Effects of hypercholesterolemia and statin exposure on survival in a large national cohort of patients with cirrhosis. The association between hepatitis C infection and cardiovascular disease: a meta-analysis of epidemiologic evidence. 5. Cirrhosis, Chronic Liver Disease, and Global Hepatology The burden of cirrhosis and other chronic liver disease in the Middle East and North Africa (MENA) region over three decades (BMC Public Health, 2024). Socioeconomic and demographic disparities in the impact of digestive diseases in the MENA region. Treatment and prevention of viral hepatitis in pregnancy. Changing epidemiology of hepatitis C virus infection in the United States: NHANES 2001–2010 (Journal of Hepatology, 2013). 6. Endoscopy, Biliary Disease, and Pancreatology Comparative effectiveness of biliary brush cytology and intraductal biopsy for detection of malignant biliary strictures: a systematic review and meta-analysis. Endoscopic ultrasound in the diagnosis of cholangiocarcinoma as the etiology of biliary strictures: a systematic review and meta-analysis. Pancreatic stent placement for prevention of post-ERCP pancreatitis: a network meta-analysis. 7. Gastroenterology and General Hepatology Prevalence, trends, and risk factors for fecal incontinence in U.S. adults, 2005–2010 (Clinical Gastroenterology and Hepatology, 2013). Vanishing bile duct syndrome associated with Hodgkin’s lymphoma: case report and literature review. Endotoxin down-regulates type 3 inositol 1,4,5-trisphosphate receptor in human cholangiocytes (Hepatology, 2019). SELECTED HONORS AND FELLOWSHIPS Fellow, Royal College of Physicians (FRCP), 2025 Dame Sheila Sherlock Travelling Fellowship in Hepatology, University of Oxford, 2026 Fulbright Specialist, Visiting Professor of Global Health, 2025 Fellow, American College of Health Data Management, 2024 Member, Wolfson College, Oxford, 2026 Member, Peer Review Committee, Canadian Institutes of Health Research, 2026 Member, Global Outreach and Engagement Committee, AASLD, 2026 Editorial Staff, JAMA, 2026 Associate Editor, Clinical Medicine (Royal College of Physicians), 2026 Associate Editor, Pan African Medical Journal, 2025 Guest Editor, Livers (MDPI) – Special Issue on chronic liver disease and cirrhosis, 2025 Guest Editor, BMC Global and Public Health, 2026

Faculty Relationships at EUCLID:

At EUCLID, faculty interactions are intentionally personal, responsive, and relationship-centered. Students connect with professors primarily through direct email and scheduled Zoom sessions, creating regular opportunities for substantive dialogue rather than one-way communication.

Professors respond promptly to emails with detailed, constructive feedback and are readily available for one-on-one Zoom meetings to discuss coursework, research direction, thesis development, or career goals. These interactions are not limited to academic questions; they often evolve into ongoing mentorship relationships where faculty serve as professional and academic role models. Students benefit from professors’ real-world experience in global affairs, sustainable development, diplomacy, and related fields, gaining practical insights that complement the formal curriculum.

The emphasis is on genuine relationship building. Many students develop lasting professional connections with their professors, who actively support their academic progress and post-graduation objectives. This accessible, human-centered faculty model is a defining feature of the EUCLID experience, designed to foster intellectual growth, professional maturity, and meaningful scholarly collaboration.

Prof. Dr. Basile Njei
Email: njei@mail.euclid.int
Office: USA
LinkedIn: https://www.linkedin.com/in/basile-njei-md-phd-frcp-16170330/