•  Dr. Le Huu Nhat Minh's focus on Artificial Intelligence (A.I.), Machine Learning (ML), Deep Learning (DL), convolutional neural networks, internal medicine, and meta-analysis indicates a comprehensive approach to utilizing cutting-edge technologies in the medical field.

• By applying Artificial Intelligence in Clinical Medicine and Diagnostic Imaging, Dr. Minh is likely exploring the potential of A.I. algorithms to assist medical professionals in diagnosing diseases, analyzing medical images, and making treatment decisions. A.I. has shown promising results in various medical applications, including detecting abnormalities in medical images, predicting patient outcomes, and improving diagnostic accuracy.

• Taipei Medical University (TMU), Taiwan is a reputable institution, and pursuing a Ph.D. program there allows Dr. Minh to access the latest research facilities, collaborate with experienced faculty members, and participate in a vibrant academic community. This environment is essential for conducting groundbreaking research and contributing to the advancement of medical technology.

• As A.I. and data-driven technologies become increasingly prevalent in the medical field, it's likely that Dr. Minh's research will have significant implications for clinical practice and patient care. The potential benefits of his work may include faster and more accurate diagnoses, personalized treatment plans, and improved patient outcomes.

• Research in the intersection of A.I., ML/DL, and medicine is an exciting and rapidly evolving field, and it's wonderful to see professionals like Dr. Le Huu Nhat Minh contributing to its progress. As he progresses in his Ph.D. program, it would be interesting to keep an eye out for any published papers or developments stemming from his research in applying Artificial Intelligence in Clinical Medicine and Diagnostic Imaging.

• Dr. Le Huu Nhat Minh is an alumnus of the Harvard Medical School Global Clinical Scholars Research Training (HMS-GCSRT) Program. This program is renowned for providing advanced training in healthcare research and methods, attracting scholars from all over the world to enhance their expertise in various aspects of clinical research.

• The HMS-GCSRT cohort offers a highly competitive post-graduate medical education experience that spans a year. During this time, participants like Dr. Minh engage in a variety of activities, including lectures, webinars, and interactive workshop sessions held in Boston. These activities are carefully designed to bolster the attendees' knowledge, management abilities, and leadership skills concerning their global clinical research agenda.

• Attending the HMS-GCSRT program at Harvard Medical School is a prestigious opportunity that allows scholars to access world-class resources, collaborate with distinguished faculty, and interact with a diverse group of fellow researchers from various backgrounds. By participating in this program, Dr. Minh would have had the chance to refine his research skills and gain valuable insights into global healthcare challenges and advancements.

• Given Dr. Minh's background and research focus on Artificial Intelligence (A.I.), ML/DL, convolutional neural networks, internal medicine, and meta-analysis, the training received at HMS-GCSRT would have provided him with a strong foundation to apply these cutting-edge techniques to clinical medicine and diagnostic imaging effectively.

Statistical data analysis skills:

●        Strong research experience in medical and epidemiological studies of clinical trials and other research designs.

●        Meta-analysis, network meta-analysis skills.

●        Expertise in analyzing data by utilizing statistical data analysis and software biostatistics: R, SPSS, STATA, JoinPoint analysis, Comprehensive Meta-Analysis Software (CMA), RevMan, GraphPad, MedCal, WebPlotDigitizer.

●        Biostatistical computing, ethics and regulation, applied regression, survival analysis (Kaplan-Meier curve analysis, Multivariable Cox Proportional Hazards Regression Models), correlated outcomes, causal design, sample size and power calculations.

●        Survey Design: crafting survey questions, the design of surveys, and different sampling procedures used in practice.

●        Overview of comparative and cost-effectiveness research, meta-analysis, quasi-experimental designs including instrumental variables and marginal structural modeling, propensity scores, and time-series analysis.

Biomedicine skills:

●        + Conduct laboratory research, basic molecular and cellular biology techniques, and experiment designing skills.

●        + RT-PCR, PCR, Fluorescence in situ hybridization (FISH), indirect immunochemistry.

●        + Flow cytometry.

●        + DNA/RNA isolation

Clinical skills: examine and diagnose the general internal medical condition, treating the severe or critically ill patients in the Intensive Care Unit (ICU) department. Procedure and skills: Lumbar puncture, performing endotracheal intubation; using and managing mechanical ventilation & non-invasive mechanical ventilation.

Leadership:

●        Strong leadership skills showed the ability to lead projects from start to finish including systematic review & meta-analysis, cross-sectional study, research writing, and medical writing. Excel in deadline-driven environments; diplomatic and tactful with professionals yet assertive with intelligence for collaboration. Core leader of Japan's public health organization that provided patients with high-quality health information.

●        Strong support to teammates to overcome challenges and to motivate them to improve their work productivity. Possess extensive experience in comprehending research issues to assess the root of a problem by providing detailed insights into evaluating and planning a potential solution using remarkable skill in critical analysis and statistical ingenuity.

• The Lancet Regional Health – Western Pacific (Elsevier)

• Journal of Medical Case Reports (Springer Nature)

• Journal of Interventional Cardiology

• Scientific Reports (Springer Nature)

• Emerging Microbes & Infections (Taylor & Francis)

• The Cureus Journal of Medical Science

• 09/2022-current

International Master/Ph.D. Program in Medicine (IGPM), College of Medicine, Taipei Medical University, Taipei City, Taiwan.

Degree of Doctor of Philosophy (Ph.D.)

Major: Medicine - Artificial intelligence (AI) 

• 09/2012  - 11/2018

University of Medicine and Pharmacy at Ho Chi Minh City, HCMC, Viet Nam

Degree of Doctor of Medicine (M.D.)

Major: General Practitioner 

Global Clinical Scholars Research Training (GCSRT) at Harvard Medical School, Boston, MA

Scientist/Clinical Physician

The Harvard Medical School Global Clinical Scholars Research Training (GCSRT) program provides clinicians and clinician-scientists with advanced training in the methods and conduct of clinical research. The blended-learning approach of this one-year program enables clinician-scientists from around the world to participate in enhancing research experiences.

+ Project 1: COVAMAN Cohort Study - COVID-19 vaccination study among mothers and their newborn

+ Project 2: HypStrk Cohort Study - De novo Hypertension and Stroke among Framingham study population. 

Objective: find the relationship between number of years living with de novo hypertension and incident stroke among the Framingham study population

+ Project 3: The association between NYHA functional classes and probability of death in chronic heart failure patients

+ Project 4 – capstone project: Epidemiological characteristics, serologic and virologic profiles of hepatitis D virus and hepatitis B virus (HDV-HBV) co-infected patients in Vietnam.

+ Project 5 – Genetic epidemiology: Gene expression in Alzheimer's disease.

Systematic Review and Meta-Analysis

Course offered by Johns Hopkins University, Baltimore, MD 21205

The course introduces methods to perform systematic reviews and meta-analyses of clinical trials. We will cover how to formulate an answerable research question, define inclusion and exclusion criteria, search for the evidence, extract data, assess the risk of bias in clinical trials, and perform a meta-analysis.

Cancer Research and Regenerative Medicine Training 

Course conducted by Dr. Mong-Hong Lee of Editor-in-Chief at Cancer Hallmarks and MD Anderson Cancer Center, University of Texas, Houston, USA