AI in Biotech and Medical Research
Revolutionize biotech & med research with AI! Accelerate drug discovery, personalize treatments & analyze data faster.
Duration: 1 Day
Hours: 2 Hours
Training Level: All Levels
Batch Two
Friday, August 22, 2025
12:00 PM - 02:00 PM (Eastern Time)
Batch Three
Tuesday, September 23, 2025
12:00 PM - 02:00 PM (Eastern Time)
About the Course:
The intersection of artificial intelligence and life sciences is accelerating innovation in biotech and medical research. This course, "AI in Biotech and Medical Research", is designed to empower scientists, researchers, and healthcare professionals with the knowledge and skills to use ChatGPT effectively across the research pipeline. From literature reviews and data interpretation to hypothesis generation and regulatory writing, ChatGPT offers powerful capabilities that can augment productivity and scientific thinking. This hands-on course demystifies ChatGPT’s role in research and shows practical applications that enhance both speed and rigor in scientific work.
Course Objective:
By the end of this course, participants will:
- Understand how ChatGPT and large language models can support biotech and medical research.
- Use ChatGPT to assist in literature reviews, experimental design, and protocol drafting.
- Generate hypotheses, brainstorm research ideas, and refine research questions with AI.
- Interpret scientific data and explore how to present findings clearly with AI-generated support.
- Leverage ChatGPT for writing grant applications, research papers, regulatory documents, and reports.
- Recognize the limitations, ethical considerations, and validation needs when using AI in research.
Who is the Target Audience?
This course is ideal for:
- Biotech and Life Sciences Researchers
- Medical Researchers and Clinicians
- PhD and Graduate Students in Biomedical Fields
- Regulatory and Clinical Documentation Specialists
- R&D and Lab Managers
- Data Scientists working in healthcare or biotech domains
Basic Knowledge:
- No prior AI or coding experience is necessary. A basic understanding of scientific research principles is recommended.
- Organizations aiming to improve productivity, reduce costs, and enhance quality through Lean Six Sigma.
Curriculum
Total Duration: 2 Hours
Module 1: Introduction to ChatGPT in Scientific Research
- What is ChatGPT, and how does it work in research contexts?
- Overview of use cases in biotech and medical domains
- Key considerations: accuracy, hallucination, validation, bias
Module 2: Literature Review and Knowledge Synthesis
- Using ChatGPT to summarize scientific papers and abstracts
- Comparing findings across multiple sources
- Extracting insights from large text datasets (PubMed abstracts, trial registries)
- Hands-on: Prompting ChatGPT to generate a structured literature summary
Module 3: Experimental Design and Hypothesis Generation
- Ideation for study objectives, controls, and protocols
- Drafting SOPs and lab experiment outlines
- Prompting for variables, assumptions, and alternate models
- Use case: Designing a CRISPR or ELISA-based experiment
Module 4: Data Interpretation and Scientific Writing
- Explaining statistical outputs and experimental results
- Structuring research papers (IMRaD format), abstracts, and discussions
- Writing clinical or technical documentation
- Hands-on: Drafting results and discussion sections with AI support
Module 5: Regulatory, Grant, and Report Writing
- Writing grant proposals: objectives, background, significance
- Generating FDA-style regulatory summaries and documentation
- Producing stakeholder summaries and executive reports
- Ensuring compliance, accuracy, and traceability in AI-generated content
Q&A and Wrap-Up
- Live prompt troubleshooting and real-world challenges
- Ethical use, data protection, and proper attribution
- Tools, integrations, and next steps for AI adoption in life sciences