TrialMind Oncology DSA Bootcamp
A four-week, hands-on program where oncology data scientists put TrialMind to work on real multi-omics and clinical datasets — producing demos, publications, and product feedback alongside our team.
How the AI Agent Works
A short walkthrough of TrialMind reproducing a published PLOS Medicine NSCLC analysis — the kind of project participants will tackle in this camp.
Demo: TrialMind reproducing a PLOS Medicine NSCLC paper end-to-end
What the Camp Aims to Produce
The bootcamp is jointly a use-case lab, a publication track, and a structured TrialMind evaluation.
Joint Publications
Co-author papers on the methods and findings produced during the camp.
Participant-Led Demos
Recorded TrialMind demos created by participants from their own use cases.
Community Stories
Social posts from participants sharing what they built and learned.
Quantitative User Survey
Structured feedback on workflow fit, time saved, and trust in outputs.
Product Improvements
A prioritized list of TrialMind enhancements driven by real-use friction.
Program Structure
From preparation through Demo Day — a tight cadence with weekly office hours and concrete deliverables.
Preparation
- Finalize datasets (e.g., TCGA) and task definitions
- Approve participant list and provision TrialMind access
- Prepare tutorial materials and baseline examples
Kick-off & Onboarding
- Kick-off presentation: TrialMind capabilities, workflow demo, datasets
- Hands-on tutorial session
Defined project plan per participant
Exploration & Office Hours
- Participants run cases in TrialMind on their chosen tasks
- Weekly office hours: progress summary, Q&A, debugging
Preliminary results plus an issues list
Development & Refinement
- Iterate on cases in TrialMind with deeper analyses
- Office hours: progress summary, Q&A, debugging
Draft demo and early insights
Finalization & Demo Day
- Final user demos and survey collection
- Recap session and joint write-up planning
Recorded demo presentation and program summary
Datasets, Tasks & Evaluation
How we scope projects so participants can ship a meaningful demo and write-up in four weeks.
Datasets
- Multi-omics cancer datasets such as TCGA and GEO
- Clinical data layered in where available
- Start with public, well-documented sources to reduce friction
Task Definition
- Aligned to TrialMind strengths
- Examples: biomarker discovery, subtype analysis, survival prediction, risk stratification
- Scoped to be achievable in three weeks and demo-friendly
Evaluation
- Biological interpretability of results
- Clinical relevance for downstream decisions
Deliverable Format
- Demo combining slides with the live TrialMind system
- Report template designed for publication reuse
Bring Your Oncology Use Case
Spots are limited. Register your interest and we'll follow up with dataset options, task scoping, and TrialMind onboarding details.