Research Camp 2
Oncology data science camp
A four-week program in which oncology data scientists use TrialMind on real multi-omics and clinical data, producing demos, publications, and product feedback with our team.
Example analysis
TrialMind reproducing a published PLOS Medicine analysis in non-small cell lung cancer (NSCLC), an example of the projects in this camp.
Camp outputs
Participant use cases, a publication track, and a structured evaluation of TrialMind.
Joint publications
Co-authored papers on the methods and findings produced in the camp.
Participant demos
Recorded TrialMind demos built from participants' own use cases.
Community stories
Posts from participants sharing what they built and learned.
A user survey
Structured feedback on workflow fit, time saved, and trust in outputs.
Product improvements
A prioritized list of TrialMind enhancements from real-use friction.
Schedule
Four weeks with weekly office hours, from preparation to a final demo day, with a deliverable each week.
Week 0
Preparation
- Finalize datasets (e.g., TCGA) and task definitions
- Approve participants and provision TrialMind access
- Prepare tutorial materials and baseline examples
Week 1
Kick-off and onboarding
- Kick-off: capabilities, workflow demo, datasets
- Hands-on tutorial session
Deliverable: A project plan per participant
Week 2
Exploration
- Run cases in TrialMind on chosen tasks
- Office hours: progress, Q&A, debugging
Deliverable: Preliminary results and an issues list
Week 3
Development
- Iterate with deeper analyses
- Office hours: progress, Q&A, debugging
Deliverable: A draft demo and early insights
Week 4
Demo Day
- Final demos and survey collection
- Recap and joint write-up planning
Deliverable: A recorded demo and program summary
Project scope
Projects are scoped so each participant completes a demo and a write-up in four weeks.
Datasets
- Multi-omics cancer datasets such as The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO)
- Clinical data layered in where available
- Public, well-documented sources to reduce friction
Tasks
- Aligned to TrialMind strengths
- Biomarker discovery, subtyping, survival prediction, risk stratification
- Scoped to be achievable in three weeks
Evaluation
- Biological interpretability of results
- Clinical relevance for downstream decisions
Deliverable format
- A demo combining slides with the live system
- A report template built for publication reuse
Register interest
Places are limited. We follow up with dataset options, task scoping, and onboarding.