Top AI Prompts for Medical Research with ClickUp Brain

Identify 5 emerging research hypotheses on neurodegenerative diseases from the ‘Alzheimer’s 2024 Review’ document.

Use Case: Speeds up idea generation by leveraging existing literature.

ClickUp Brain Behaviour: Analyzes linked documents to extract and summarize potential research directions.

What are the latest therapeutic approaches for type 2 diabetes in recent clinical trials?

Use Case: Informs research focus with up-to-date treatment strategies.

ClickUp Brain Behaviour: Aggregates findings from internal trial reports and can integrate public databases for comprehensive insights.

Generate a study protocol outline for a randomized controlled trial on a new asthma medication, referencing ‘Protocol Templates’ and prior trial notes.

Use Case: Ensures consistent and thorough protocol development.

ClickUp Brain Behaviour: Extracts relevant content from linked files to create structured protocol drafts.

Summarize biomarker efficacy comparisons between drug A and drug B using data from the ‘Biomarker Analysis Q1’ report.

Use Case: Facilitates evidence-based decision-making without manual data synthesis.

ClickUp Brain Behaviour: Processes tabular and textual data to produce concise comparative summaries.

List primary reagents used in CRISPR gene editing experiments, referencing lab protocols and supplier datasheets.

Use Case: Supports reagent selection with documented performance notes.

ClickUp Brain Behaviour: Scans documents to highlight commonly used materials and their applications.

From the ‘Clinical Assay Validation’ document, generate a checklist for assay performance criteria.

Use Case: Simplifies validation planning with clear, actionable steps.

ClickUp Brain Behaviour: Identifies key criteria and formats them into task-ready checklists.

Extract 3 main patient-reported outcome trends from post-treatment surveys and focus group transcripts.

Use Case: Guides patient-centered research improvements.

ClickUp Brain Behaviour: Detects recurring themes and sentiments across qualitative data sources.

From the ‘Clinical Trial Participant Survey’ document, summarize participant preferences regarding medication delivery methods.

Use Case: Aligns trial design with patient convenience and adherence.

ClickUp Brain Behaviour: Processes survey responses to identify dominant preferences and concerns.

Write clear, empathetic patient instructions for a new diagnostic test, using the tone guidelines in ‘CommunicationStyle.pdf’.

Use Case: Enhances patient understanding and compliance.

ClickUp Brain Behaviour: Draws on tone references to generate consistent and accessible copy.

Summarize recent FDA guideline changes impacting oncology trial protocols.

Use Case: Keeps research teams compliant with evolving regulations.

ClickUp Brain Behaviour: Extracts and condenses key regulatory information from linked documents.

Generate checklist items for ethical approval based on local IRB requirements documented in workspace files.

Use Case: Ensures thorough preparation for institutional review board submissions.

ClickUp Brain Behaviour: Identifies criteria and organizes them into actionable tasks.

Create a safety monitoring checklist referencing adverse event reports and protocol safety sections.

Use Case: Supports vigilant patient safety oversight during trials.

ClickUp Brain Behaviour: Extracts safety parameters and formats them into structured monitoring tasks.

Compare laboratory sustainability initiatives across partner institutions using internal audit reports.

Use Case: Encourages eco-friendly practices in research operations.

ClickUp Brain Behaviour: Summarizes comparative data into clear, actionable insights.

What novel diagnostic tools have gained traction in infectious disease research since 2023?

Use Case: Guides R&D focus toward innovative methodologies.

ClickUp Brain Behaviour: Synthesizes trends from recent publications and internal research summaries.

Summarize key barriers to clinical trial enrollment in Southeast Asia from feedback and regional reports.

Use Case: Informs tailored strategies to improve participant recruitment.

ClickUp Brain Behaviour: Extracts and prioritizes challenges from diverse data sources.

Specify the medical research area

Broad prompts yield vague responses. Include details like study type (e.g., "clinical trial" or "epidemiological study"), disease focus (e.g., "type 2 diabetes" or "Alzheimer's"), or patient demographics (e.g., "adults over 65" or "pediatric patients").

Example: "Propose data collection methods for a longitudinal study on cardiovascular health in middle-aged adults."

Ask for side-by-side evaluations

AI excels at contrasting variables. Use prompts like "compare treatment A vs treatment B" to assess efficacy, side effects, or patient outcomes.

Example: "Compare the effectiveness of drug X versus drug Y in managing hypertension."

Focus on specific research goals

Treat your prompt as a research task. Instead of "Generate hypotheses," be precise:

Example: "Develop potential biomarkers for early detection of pancreatic cancer based on recent genomic data."

Request structured responses

Need a summary, data table, or protocol outline? Clearly state the format to improve AI responses.

Example: "Provide a bullet-point list of ethical considerations for conducting clinical trials in vulnerable populations."