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Comprehensive Immunotherapy Education Course

USD $59.00

This Advanced Immunotherapy program provides in-depth training in immunotherapy, covering checkpoint inhibitors, CAR T-cell therapy, and cancer vaccines. Participants will learn practical techniques, clinical applications, and the latest innovations in immunotherapy for cancer and other diseases.

Aim

This course provides a structured, practical understanding of immunotherapy—how the immune system is harnessed to treat disease, especially cancer and chronic immune-related conditions. Participants will learn the science behind major immunotherapy classes, how patients are selected, how response and resistance are assessed, how adverse events are managed conceptually, and how immunotherapy research is designed and evaluated. The course ends with a case-based capstone plan that connects mechanism, biomarkers, and clinical decision workflows.

Program Objectives

  • Build Immunotherapy Foundations: Understand immune mechanisms that enable therapeutic targeting.
  • Learn Major Modalities: Checkpoint inhibitors, CAR-T/cell therapies, antibodies, cytokines, vaccines (overview).
  • Patient Selection & Biomarkers: Understand how biomarkers guide therapy choice and predict response.
  • Response & Resistance: Learn why some patients respond and others don’t (tumor and immune factors).
  • Safety Awareness: Understand immune-related adverse events (irAEs) and monitoring logic.
  • Research & Trials Basics: Learn how immunotherapy studies are designed and interpreted.
  • Hands-on Outcome: Build a case-based immunotherapy strategy summary as a final project.

Program Structure

Module 1: Immune System Essentials for Immunotherapy

  • Innate vs adaptive immunity: the roles that matter most for therapy.
  • T-cells, B-cells, NK cells, antigen presentation: quick functional overview.
  • Immune checkpoints and immune tolerance: why the body “puts brakes” on immunity.
  • How tumors evade immunity: immune suppression, antigen loss, and microenvironment effects.

Module 2: Cancer Immunology and the Tumor Microenvironment

  • Hot vs cold tumors: why immune infiltration predicts response.
  • Immune suppressive cells: Tregs, MDSCs, TAMs (conceptual roles).
  • Inflammation and cytokines: when they help and when they harm.
  • Immune escape mechanisms and therapeutic opportunities.

Module 3: Checkpoint Inhibitors (PD-1/PD-L1, CTLA-4)

  • Mechanism of action: releasing immune brakes.
  • Who benefits: tumor types, immune signatures, and response predictors (conceptual).
  • Combination strategies: why dual therapy is sometimes used (risk/benefit view).
  • Monitoring response: pseudo-progression concept and response assessment logic.

Module 4: Monoclonal Antibodies and Targeted Immune Therapies

  • Antibody functions: blocking, tagging, ADCC, and targeted delivery.
  • Bispecific antibodies (overview): bringing immune cells to tumor cells.
  • Antibody-drug conjugates (ADC) concept: targeted payload delivery.
  • Where antibodies fit vs chemo vs small molecules (decision thinking).

Module 5: Cellular Immunotherapies (CAR-T and Beyond)

  • CAR-T concept: engineering T-cells to recognize tumor antigens.
  • Workflow overview: collection, engineering, expansion, infusion, monitoring.
  • Key challenges: toxicity, antigen escape, durability, manufacturing constraints.
  • Next-gen ideas overview: CAR-NK, TIL therapy, off-the-shelf cell therapies.

Module 6: Cancer Vaccines, Cytokines, and Oncolytic Approaches (Overview)

  • Therapeutic cancer vaccines: neoantigen concept and immune priming.
  • Cytokine therapy basics: why it can boost immunity but also cause toxicity.
  • Oncolytic viruses overview: killing tumors and stimulating immune response.
  • Combination strategies: turning cold tumors into hot tumors (concept).

Module 7: Biomarkers, Diagnostics & Patient Stratification

  • Key biomarker concepts: PD-L1 expression, TMB, MSI, immune gene signatures (overview).
  • Liquid biopsy concepts: ctDNA and treatment monitoring possibilities.
  • Companion diagnostics: how testing guides therapy choices.
  • Interpreting biomarkers responsibly: limitations and context.

Module 8: Safety, Adverse Events & Monitoring Logic

  • Immune-related adverse events (irAEs): why they happen.
  • Common irAEs overview: skin, GI, endocrine, lung, liver (high-level).
  • Monitoring and escalation thinking: early detection and intervention logic.
  • Balancing benefit and risk: patient counseling and follow-up discipline (conceptual).

Module 9: Immunotherapy Research, Trials & Evidence Reading

  • Clinical trial basics: endpoints, response rates, PFS/OS, and real-world evidence.
  • Interpreting immunotherapy trial outcomes: durable response vs early failure.
  • Resistance mechanisms: primary vs acquired resistance (conceptual).
  • How to design a simple immunotherapy study question and evaluate evidence quality.

Final Project

  • Create a Case-Based Immunotherapy Strategy Summary for a selected cancer scenario (case provided).
  • Include: tumor/immune context, therapy option rationale, biomarker plan, monitoring approach, and risk notes.
  • Example projects: checkpoint inhibitor selection plan, combination therapy rationale, CAR-T suitability discussion, biomarker-driven treatment pathway concept.

Participant Eligibility

  • UG/PG/PhD students in Biotechnology, Immunology, Molecular Biology, Biochemistry, or related fields
  • Researchers and professionals in oncology, translational medicine, and biomedical R&D
  • Clinicians and allied health learners seeking a structured immunotherapy overview
  • Anyone entering cancer biology or immunology research (beginner-friendly explanations included)

Program Outcomes

  • Concept Mastery: Understand major immunotherapy modalities and when they are used.
  • Biomarker Awareness: Know the role of biomarkers and diagnostics in patient selection.
  • Safety Understanding: Understand monitoring logic for immune-related adverse events (high-level).
  • Evidence Literacy: Ability to read immunotherapy studies with better interpretation discipline.
  • Portfolio Deliverable: A case-based immunotherapy strategy summary you can showcase.

Program Deliverables

  • Access to e-LMS: Full access to course content, case materials, and reference resources.
  • Learning Toolkit: Biomarker checklist, therapy selection worksheet, monitoring plan template.
  • Case-Based Exercises: Guided cases across checkpoint therapy, antibodies, and cell therapy.
  • Project Guidance: Mentor support for completing the final capstone case summary.
  • Final Assessment: Certification after assignments + capstone submission.
  • e-Certification and e-Marksheet: Digital credentials provided upon successful completion.

Future Career Prospects

  • Immuno-Oncology Research Intern / Associate
  • Clinical Research Associate (Oncology/Immunotherapy)
  • Translational Science / Biomarker Support Associate
  • Biotech R&D Associate (Immunology)
  • Medical Affairs / Scientific Communications (Immunotherapy track)

Job Opportunities

  • Biotech & Pharma: Immuno-oncology discovery, translational research, biomarker teams.
  • Hospitals & Cancer Centers: Clinical research units, immunotherapy monitoring programs.
  • CROs: Oncology trials operations and data teams.
  • Research Institutes: Immunology and cancer biology labs.
  • Healthtech Startups: Biomarker analytics, precision oncology, and patient monitoring platforms.
Category

E-LMS, E-LMS+Videos, E-LMS+Videos+Live

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What You’ll Gain

  • Full access to e-LMS
  • Publication opportunity
  • Self-assessment & final exam
  • e-Certificate

All Live Workshops

Feedbacks

In Silico Molecular Modeling and Docking in Drug Development

Good and efficient delivery and explanation in an easy way


Yazan Mahmoud : 05/12/2025 at 11:09 pm

Designing and Engineering of Artificial Microbial Consortia (AMC) for Bioprocess: Application Approaches

The mentor talked about the basics of microbial consortium and then explained their applications for More bioprocess in detail. The Mentor explained the various topics with a clear and detailed approach.
Anirudh Gupta : 02/17/2024 at 11:32 pm

Green Catalysts 2024: Innovating Sustainable Solutions from Biomass to Biofuels

Excellent orator and knowledgeable resourceful person


Ranvir Singh : 08/01/2024 at 1:12 pm

R Programming for Biologists: Beginners Level

I think the instructor did a good job of getting us going with R. Useful would be a link sent to More advise us where to best download R in advance of the workshop, and also having any extra files necessary in advance.
Angela Riveroll : 03/02/2024 at 1:18 am

Analysis of Drug like Small Molecule using ChemmineR: A Cheminformatics Toolkit for R

Information about different platforms drugs surching can be done in less time. Sir you explained More really well.
Urmi Chouhan : 07/22/2024 at 11:52 am

Overall, the workshop was conducted with professionalism and easy-to-follow teaching methods, More allowing us to better understand and grasp the concepts of mathematical models and infectious disease analysis, without overly intimidating the complexity of the mathematics involved.
If we could have files with more exercises, that would be great, and we could be added to a WhatsApp group where we can see what other colleagues around the world are doing and ask questions if necessary.

Joel KOSIANZA BELABO : 05/17/2025 at 3:31 pm

In Silico Molecular Modeling and Docking in Drug Development

Mentor is competent and clear in explanation


Immacolata Speciale : 02/14/2024 at 2:29 pm

Green Synthesis of Nanoparticles and their Biomedical Applications

It was very interesting


Anna Gościniak : 04/26/2024 at 6:43 pm