From Question to Protocol: AI-Assisted Experimental Design for Modern Biomedical Research

Designing a rigorous experiment has never been more complex — or more consequential. With thousands of databases, hundreds of model systems, and an ever-expanding literature, knowing where to start and what evidence to trust can be as challenging as the science itself.
In this webinar, we show how EMET transforms the research planning process — from vague biological question to experiment-ready, evidence-backed protocol. Attendees will see demonstrations of how to:

• Frame a research question and decompose it into a multi-step investigation plan
• Survey the evidence landscape across genetics, expression, pathway, and literature databases simultaneously
• Validate a target or hypothesis using a structured GO / CAUTION / NO-GO framework grounded in real database evidence
• Design experimental controls and select appropriate model systems (cell lines, animal models, assays) with reagent recommendations
• Identify gaps and de-risk studies by surfacing conflicting evidence, safety signals, and known confounders before you ever enter the lab
• Generate a shareable research plan— a structured document you can bring to a PI meeting, grant proposal, or CRO briefing