Courses that move medicine forward
Learn from mentors who publish, review, and mentor across four continents.
From Case to Publication: Writing a Case Report (Free Course)
You saw a patient who taught you something. This free course shows you how to share it well: first as a poster at a congress, then as a case report in a journal. In four live classes, you learn when a case is worth writing up, how to write to a congress’s own rules, how to make a poster people can read, how to follow the CARE checklist in English and Turkish, how to prepare figures that protect your patient, and how to choose a congress and a journal in Türkiye or abroad. You practice each step in Case Report Studio, MedRC’s simulation lab, with synthetic patients. Offered with the Syrian Doctors Association in Türkiye. The four classes Saturday 14 November: From patient to poster (bildiri): the congress abstract and the poster (Dr. Ela Dibe) Sunday 15 November: Writing the case report in English and Turkish (Dr. Muhammed Amir Essibayi) Saturday 21 November: Visuals that teach and protect the patient (Dr. Mahmoud Osama) Sunday 22 November: Where to send it: congresses and journals in Türkiye and abroad (Dr. Ela Dibe, Dr. Muhammed Amir Essibayi) أربع محاضرات مباشرة مجانية باللغة العربية: حوِّل حالة مريض واحد إلى ملخص مؤتمر (bildiri) وملصق علمي وتقرير حالة، واختر أين ترسله. بالشراكة مع رابطة الأطباء السوريين في تركيا. Dört ücretsiz canlı ders (Arapça): tek bir hastayı kongre bildirisine, postere ve olgu sunumuna dönüştürün; nereye göndereceğinizi seçin.
4 lessons 4 enrolled
$0
Includes $20 for LLM/AI usage
Medical IllustrationScientific Figures: Make Your Research Clear
Course overview A focused guide to making a research figure easier to read while preserving its statistical meaning. Learning outcomes Choose a suitable display for a simple research message. Identify misleading scales, missing uncertainty and unclear labels. Improve a figure using a short clarity and accessibility checklist. Curriculum Start with the research message. Choose a chart that fits the question. Scales, denominators and uncertainty. Labels, legends and accessible colors. A figure on a slide or poster. Worked example: critique and improve one figure. Practical output Annotate or revise one supplied teaching figure and explain three improvements. Course information Practice uses synthetic or appropriately authorized material. Course materials remain available for three months after completion. Contact us with questions; we respond within 72 hours. This response window is not a grading or manuscript-review deadline. Publication, authorship, and funding are not guaranteed.
6 lessons 0 enrolled
$29
Includes $20 for LLM/AI usage
Scientific Writing: Clear Results and Strong Revision
Course overview Improve one piece of scientific writing by connecting the claim to the evidence and revising it with a clear purpose. Learning outcomes Recognize the different roles of Methods, Results and Discussion. Replace an overstated claim with an evidence-based sentence. Use a small revision checklist to improve clarity and transparency. Curriculum One paragraph, one scientific purpose. Methods that describe what was done. Results that match the supplied output. Discussion, limitations and calibrated claims. Reference checks, authorship responsibility and AI disclosure. Worked example: revise a paragraph and explain the changes. Practical output Revise one supplied scientific paragraph and record three purposeful corrections. Course information Practice uses synthetic or appropriately authorized material. Course materials remain available for three months after completion. Contact us with questions; we respond within 72 hours. This response window is not a grading or manuscript-review deadline. Publication, authorship, and funding are not guaranteed.
6 lessons 0 enrolled
$39
Includes $20 for LLM/AI usage
Grant Writing: Build a Strong Aims Page
Course overview Learn to turn a research idea into a focused, feasible aims page through short lessons and a small writing exercise. Learning outcomes Identify whether a research idea fits a funding opportunity. Write a focused aim linked to a feasible outcome. Recognize the roles of milestones, risks and budget justification. Curriculum Reading the funding opportunity and checking fit. The problem, significance and evidence gap. A focused aim and testable outcome. Feasibility, design and milestones. Resources, risks and budget logic. Worked example: improve one draft aim. Practical output Write or revise one concise aims paragraph and a short feasibility checklist. Course information Practice uses synthetic or appropriately authorized material. Course materials remain available for three months after completion. Contact us with questions; we respond within 72 hours. This response window is not a grading or manuscript-review deadline. Publication, authorship, and funding are not guaranteed.
6 lessons 0 enrolled
$39
Includes $20 for LLM/AI usage
AnalyticsStata for Medical Research 2: Models to Outputs
Course overview Follow a focused Stata analysis from variable coding to an interpretable result and a reproducible research output. Learning outcomes Recognize factor-variable coding and reference groups. Interpret one supplied regression result and a basic postestimation check. Adapt a short do-file to reproduce a table or graphic. Curriculum A clear analysis question and reproducible do-file. Factor variables, reference groups and interactions. Fitting and reading one regression model. Basic diagnostics and postestimation. Exporting one table or graphic. Worked example: revise and rerun a short analysis. Practical output Adapt a supplied do-file and write a brief interpretation of one model output. Course information Practice uses synthetic or appropriately authorized material. Course materials remain available for three months after completion. Contact us with questions; we respond within 72 hours. This response window is not a grading or manuscript-review deadline. Publication, authorship, and funding are not guaranteed.
6 lessons 0 enrolled
$39
Includes $20 for LLM/AI usage
AnalyticsStata for Medical Research 1: Getting Started
Course overview Build confidence with Stata through a small data-checking workflow, clear descriptive output and a reusable do-file. Learning outcomes Navigate a simple Stata workflow and recognize a do-file and log. Check variable types, labels and missing values. Adapt supplied commands to create one summary and one chart. Curriculum Stata workspace and project folders. Importing data and inspecting variables. Labels, types and missing-value checks. Simple cleaning and verification commands. One descriptive table and one chart. Worked example: save and rerun a short do-file. Practical output Adapt a supplied do-file to check and summarize a small synthetic teaching file. Course information Practice uses synthetic or appropriately authorized material. Course materials remain available for three months after completion. Contact us with questions; we respond within 72 hours. This response window is not a grading or manuscript-review deadline. Publication, authorship, and funding are not guaranteed.
6 lessons 0 enrolled
$39
Includes $20 for LLM/AI usage
AnalyticsR for Medical Research 2: Analysis to Report
Course overview Connect a simple statistical analysis to a clear, reproducible output using a compact R example and a report template. Learning outcomes Follow a short analysis script and identify its key decisions. Interpret a supplied model result and a basic diagnostic check. Adapt a report template so its text, table and figure agree. Curriculum Organizing a small analysis script. Preparing variables for a comparison or model. Fitting and reading one simple model. Basic checks and cautious interpretation. Sending a table and figure to a report template. Worked example: update and rerun a short report. Practical output Adapt a supplied R analysis and update one short report section with its table or figure. Course information Practice uses synthetic or appropriately authorized material. Course materials remain available for three months after completion. Contact us with questions; we respond within 72 hours. This response window is not a grading or manuscript-review deadline. Publication, authorship, and funding are not guaranteed.
6 lessons 0 enrolled
$39
Includes $20 for LLM/AI usage
AnalyticsR for Medical Research 1: Getting Started
Course overview Get comfortable with a small, reproducible R workflow through short demonstrations and a guided file-to-figure exercise. Learning outcomes Recognize the main parts of a simple R project and script. Import a teaching file and inspect variable types and missing values. Adapt a supplied script to produce one summary and one plot. Curriculum R and RStudio: setup and orientation. Objects, vectors and data frames. Importing a file and checking its structure. Simple data selection and transformations. One descriptive summary and one clear plot. Worked example: rerun and adapt a short script. Practical output Adapt a supplied script to summarize and plot a small synthetic teaching file. Course information Practice uses synthetic or appropriately authorized material. Course materials remain available for three months after completion. Contact us with questions; we respond within 72 hours. This response window is not a grading or manuscript-review deadline. Publication, authorship, and funding are not guaranteed.
6 lessons 0 enrolled
$39
Includes $20 for LLM/AI usage
StatisticsMeta-analysis: Interpret the Evidence
Course overview A focused introduction to pooling decisions, forest plots and the limits of a summary estimate, using one guided example. Learning outcomes Recognize common effect measures and when pooling may be inappropriate. Interpret a forest plot, confidence interval and heterogeneity cautiously. Identify a useful sensitivity question and a limitation of the evidence. Curriculum When pooling helps and when it can mislead. Effect measures and extraction checks. Fixed-effect and random-effects models: the core distinction. Reading a forest plot and heterogeneity. Sensitivity analyses and missing-results concerns. Worked example: write a cautious synthesis interpretation. Practical output Interpret one supplied forest plot, justify a pooling decision and write a brief limitations note. Course information Practice uses synthetic or appropriately authorized material. Course materials remain available for three months after completion. Contact us with questions; we respond within 72 hours. This response window is not a grading or manuscript-review deadline. Publication, authorship, and funding are not guaranteed.
6 lessons 0 enrolled
$49
Includes $20 for LLM/AI usage
AnalyticsSystematic Review Methods: The Essential Workflow
Course overview A compact guide to the decisions behind a transparent systematic review, from a focused question to a documented synthesis plan. Learning outcomes Translate a focused question into clear eligibility criteria. Recognize the purpose of searching, screening and extraction records. Explain why risk of bias and synthesis decisions require more than a reporting checklist. Curriculum A focused question and review scope. Eligibility criteria and a simple protocol outline. Search concepts and a transparent search record. Screening decisions and duplicate handling. Extraction checks and risk of bias. Worked example: make one defensible inclusion decision. Practical output Draft a short eligibility checklist and justify one inclusion or exclusion decision from supplied abstracts. Course information Practice uses synthetic or appropriately authorized material. Course materials remain available for three months after completion. Contact us with questions; we respond within 72 hours. This response window is not a grading or manuscript-review deadline. Publication, authorship, and funding are not guaranteed.
6 lessons 0 enrolled
$39
Includes $20 for LLM/AI usage
StatisticsAdvanced Biostatistics 2: Survival and Repeated Measures
Course overview A focused overview of time-to-event and repeated-measure analyses, built around interpreting examples rather than mastering every model. Learning outcomes Recognize censoring and why repeated observations are not independent. Read a Kaplan–Meier plot and interpret a supplied hazard ratio. Identify when survival or repeated-measure methods need specialist input. Curriculum Follow-up, time origins and censoring. Reading a Kaplan–Meier plot. Cox regression and proportional-hazards assumptions. Repeated measurements and within-person dependence. Mixed and multilevel models: an introduction. Worked example: select the appropriate analysis family. Practical output Compare two short scenarios, choose the appropriate analysis family and interpret one supplied plot or estimate. Course information Practice uses synthetic or appropriately authorized material. Course materials remain available for three months after completion. Contact us with questions; we respond within 72 hours. This response window is not a grading or manuscript-review deadline. Publication, authorship, and funding are not guaranteed.
6 lessons 0 enrolled
$49
Includes $20 for LLM/AI usage
StatisticsAdvanced Biostatistics 1: Regression Essentials
Course overview A concise orientation to multivariable regression: what model outputs mean, which choices matter and which warning signs deserve attention. Learning outcomes Distinguish the purposes of linear and logistic regression. Recognize reference coding, confounding and interaction in a worked example. Identify important diagnostic questions before accepting a model result. Curriculum Regression questions: explanation, prediction and causal limits. Linear regression coefficients and uncertainty. Logistic regression and odds ratios. Reference groups, adjustment and interaction. Diagnostics, missing data and overfitting: an overview. Worked example: critique a short regression output. Practical output Annotate one supplied regression output and identify two interpretation or model-checking issues. Course information Practice uses synthetic or appropriately authorized material. Course materials remain available for three months after completion. Contact us with questions; we respond within 72 hours. This response window is not a grading or manuscript-review deadline. Publication, authorship, and funding are not guaranteed.
6 lessons 0 enrolled
$49
Includes $20 for LLM/AI usage
StatisticsBasic Biostatistics 2: Compare and Interpret
Course overview A practical introduction to research comparisons, effect estimates and uncertainty, without a full statistical project. Learning outcomes Distinguish independent from paired observations. Match a simple research comparison to an appropriate method. Interpret an effect estimate, confidence interval and p-value cautiously. Curriculum From research question to a comparison. Independent versus paired observations. Comparing means, proportions and ordered outcomes. Effect sizes and confidence intervals. P-values, assumptions and common interpretation errors. Worked example: choose and explain one comparison. Practical output Choose an analysis for one short synthetic scenario and write a three-sentence interpretation of the supplied output. Course information Practice uses synthetic or appropriately authorized material. Course materials remain available for three months after completion. Contact us with questions; we respond within 72 hours. This response window is not a grading or manuscript-review deadline. Publication, authorship, and funding are not guaranteed.
6 lessons 0 enrolled
$29
Includes $20 for LLM/AI usage
StatisticsBasic Biostatistics 1: Understand Your Data
Course overview A focused introduction to reading, checking and describing medical research data through short lessons and one small practice exercise. Learning outcomes Recognize common variable types and data-quality problems. Choose suitable descriptive summaries and basic charts. Explain why a sample summary does not describe every patient with certainty. Curriculum Research questions and units of observation. Categorical and numerical variables. Missing values and simple data checks. Means, medians and measures of spread. Choosing a clear table or chart. Worked example: summarize a small teaching table. Practical output Complete a one-page description of a small synthetic teaching table, including one summary and one chart choice. Course information Practice uses synthetic or appropriately authorized material. Course materials remain available for three months after completion. Contact us with questions; we respond within 72 hours. This response window is not a grading or manuscript-review deadline. Publication, authorship, and funding are not guaranteed.
6 lessons 0 enrolled
$29
Includes $20 for LLM/AI usage
MedRC Six-Week Project Clinic
Your research work, with structured review. The MedRC Six-Week Project Clinic is a planned, selective program for learners with foundational research skills and a feasible question or an approved project already underway. It provides defined milestones, feedback on methods, and structured draft review as you conduct the research and explain your decisions. THE SIX-WEEK PATH Weeks 1–2 : Question, permissions, and protocol: refine the question, assess feasibility, confirm data rights and required institutional approvals, and agree on a versioned protocol or analysis plan. Weeks 3–4 : Student-led work and reproducibility: complete the evidence or analysis tasks, document changes and contributions, and check that the results can be traced to their sources and methods. Weeks 5–6 : Draft, revise, and assess readiness: prepare a route-appropriate draft, respond to structured feedback, document contributions, and receive a clear next-step decision. WHAT YOU WILL PRODUCE A project charter with permissions and a contribution plan. A defined protocol or analysis plan before the main work begins. Student-led evidence or analysis files and an auditable change log. A reviewed draft or other appropriate research artifact when the work meets the required quality standards. A final readiness report, contribution record, and one agreed next action. DEFINED SUPPORT The proposed pilot includes two structured draft-review rounds and one readiness review. Allow approximately 6–8 hours of substantive learner work per week. The proposed cohort is capped at six qualified learners and up to two projects, with roles determined by what each project needs. Complex statistical work requires separately confirmed specialist support. HOW ENTRY WORKS Admission depends on demonstrated skills, project fit, permissions, and available supervision. Completing the Research Starter does not automatically grant admission. Learners with equivalent preparation or suitable existing projects may be considered directly. Each stage has a separate scope and purchase decision. AN HONEST OUTCOME The final decision may be ready for submission, revision needed, training portfolio only, or paused. Six weeks is the support period, not a promise that a manuscript will be completed or accepted. Publication, indexing, authorship position, application points, and unlimited revisions are not guaranteed. Authors remain responsible for their work and approve any submission. FIND YOUR PROGRAM FIT Before enrolling, email info@medrcenter.org . Our team will discuss your research experience, project readiness, and learning goals to help you decide whether this program is the right fit. We respond within 72 hours.
MedRC 14-Day Research Starter
Start with one question. Build research work you can explain. The MedRC 14-Day Research Starter is a planned, guided introduction for medical students and healthcare professionals who want to turn an initial idea into a clear question and a small, carefully documented learning portfolio. Short practice tasks and two group checkpoints connect research concepts to decisions you make yourself. YOUR LEARNING PATH Days 1–3: Define one research question, its population and outcome, and a realistic scope. Days 4–7: Document a focused search, verify 5–10 sources, and record their main findings and limitations. Days 8–11: Build a small evidence table and complete a reproducible practice analysis or structured critical appraisal. Days 12–14: Explain your choices in three minutes, respond to feedback, and agree on a suitable next step. WHAT YOU WILL PRODUCE A one-page question and scope statement. A dated search log and evidence table, clearly labeled as a training exercise. One practice analysis or structured appraisal with traceable sources and limitations. A three-minute explanation of your work. A reviewed progress portfolio and a next-step recommendation. PLAN YOUR TIME Allow approximately 6–8 hours across 14 days, including 20–30-minute tasks on most days and two group checkpoints. This is a pilot workload estimate. The proposed pilot has up to six learners, with defined weekly feedback. A CLEAR NEXT STEP The Starter has value on its own. A later Project Clinic requires a separate skills and project-fit review; progression is optional and is not automatic. Equivalent skills can be demonstrated without a mandatory Foundation Course purchase. Practice uses synthetic data or authorized published sources. A small training search is not a completed systematic review. Journal publication, acceptance, indexing, authorship, and professional accreditation are not promised. FIND YOUR PROGRAM FIT Before enrolling, email info@medrcenter.org . Our team will discuss your research experience, current skills, and learning goals to help you choose the right starting point. We respond within 72 hours.
0 lessons 0 enrolled
MedRC Special Guest Talks
Join distinguished physicians, researchers, educators, and innovators for special guest sessions exploring medical research, clinical medicine, academic careers, innovation, and professional development. These sessions bring real-world perspectives from experts across institutions and specialties, giving students the opportunity to learn from their experiences, ask questions, and gain practical insights beyond the core MedRC curriculum. Recordings of selected talks will be available in this course for enrolled students.
2 lessons 18 enrolled
$0
Includes $20 for LLM/AI usage
MedRC Foundation Course
Learn to plan, analyze, write and illustrate a medical research study, step by step, with mentors who publish. What You Will Learn Research Questions: Turn a clinical idea into a clear research question. Study Design: Choose the right design and recognize bias and confounding. Epidemiology: Understand clinical trials, screening, and research planning. Data Analysis: Clean data, create a clear Table 1, and choose appropriate analyses in jamovi. Critical Appraisal: Read and critically evaluate published studies. Literature Search: Search effectively and understand systematic reviews and when to use them. AI in Research: Use large language models to learn statistics and check your work, not replace it. Medical Illustration: Create scientific figures and graphical abstracts in BioRender. Scientific Publishing: Write, format, and submit research papers, and select the right journal. What Each Part Teaches, With Real Studies 1. Reading and Judging a Study Key Topics IMRaD structure and PICO Internal and external validity Critical reading of scientific abstracts Worked Example: SPRINT Trial (NEJM, 2015) Participants: 9,361 adults with high blood pressure. Comparison: Systolic BP targets below 120 vs. 140 mmHg. Finding: Intensive treatment reduced the primary composite outcome (HR 0.75); the trial stopped early. Your Task: Determine which patients the findings apply to and how early stopping affects the estimate. 2. Study Designs, Bias and Confounding Key Topics Study designs: Case reports, case series, cross-sectional, case-control, cohort studies, and randomized trials. Bias: Selection bias and information bias. Causal thinking: Confounding and its impact on research conclusions. Worked Example 1: Hormone Therapy Earlier evidence: Observational studies suggested protection against heart disease. WHI Trial (JAMA, 2002): 16,608 postmenopausal women; estrogen plus progestin increased coronary heart disease. Your Task: Identify how confounding (healthier women choosing hormone therapy) misled earlier studies. Worked Example 2: The Parachute Papers BMJ, 2003: A review found no randomized trials of parachutes. PARACHUTE Trial (BMJ, 2018): 23 participants; no difference was found because everyone jumped from a parked aircraft approximately 0.6 m above the ground. Your Task: Understand how participant selection determines what a trial can prove. 3. Ethics and Research Integrity Key Topics Informed consent and ethics committee approval Data protection Authorship and plagiarism Worked Example: Wakefield et al. (Lancet, 1998) Study: 12 children; claimed an association between the MMR vaccine and autism. Outcome: The paper was retracted in 2010. Your Task: Trace what went wrong and its consequences for public health. 4. Epidemiology Key Topics Disease frequency: Incidence and prevalence Risk measures: Risk, risk ratio, and odds ratio Risk interpretation: Absolute vs. relative risk Diagnostic testing: Sensitivity and specificity Clinical trials: Trial phases Practical Exercise: Understanding Risk Scenario: 20 vs. 10 events per 100 people. Relative reduction: 50% Absolute reduction: 10 percentage points Your Task: Decide which measure to report and explain why. 5. Literature Search & Introduction to Systematic Reviews Key Topics PubMed searching: MeSH terms and keywords Search strategies: Boolean operators (AND, OR, NOT) Documentation: Maintaining a dated search log Source verification: Confirming that each source exists and supports the cited statement Introduction to Systematic Reviews Research protocols and comprehensive searches Screening using predefined criteria Risk-of-bias assessment Reading a PRISMA flow diagram 6. Data and Statistics in jamovi Key Topics Foundations: Essential mathematics and variable types Data preparation: Data dictionaries, cleaning logs, and missing values Practical dataset: A synthetic, messy stroke registry Descriptive statistics: Summarizing data and building a clear Table 1 Statistical testing: Choosing an appropriate test for a simple comparison Interpretation: Understanding p-values and confidence intervals 7. Writing and Publishing Key Topics Manuscript structure: Introduction, Methods, Results, and Discussion Reporting guidelines: CONSORT, STROBE, and CARE Scientific writing: Abstracts and references Journal selection: Choosing appropriate journals and avoiding predatory journals Peer review: Mock manuscript review and responding to reviewers 8. Medical Illustration & Responsible AI Medical Illustration Create one clear scientific figure in BioRender. Design a graphical abstract in BioRender. Responsible AI Use large language models as learning tools. Verify every AI-generated answer against the original source. How the Course Works Live Zoom Classes: Short explanations followed by hands-on practice in small breakout groups with the instructor. Recorded Sessions: Rewatch every class at your own pace. Practical Assignments: Short homework and simulation labs using synthetic data between classes. Mock Peer Review: Evaluate a sample manuscript and discover how journals assess research. Final Capstone Project: Apply what you've learned and earn your certificate upon passing.
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