Data assessment and study planning
Discuss data suitability, task boundaries and analysis plans using sample provenance, controls, batches, usage rights and study endpoints.
AI VIRTUAL CELL · ABOUT
Understand cells through computation.
Advance discovery through evidence.
AI Virtual Cell focuses on cell state prediction and drug response simulation, exploring how AI methods connect with biological questions, data conditions and experimental validation.
OUR FOCUS
Start with a research question, then choose a model.
Cells are complex, dynamic systems. Turning an observation into a reliable prediction requires appropriate computational methods and complete experimental context. Our technical services and project collaborations follow this process: define the task, assess the data and agree on the analysis and validation scope.
Projects start with an assessment of research objectives and available data. We discuss scope, deliverables and acceptance criteria for single-cell analysis, cell state modeling and perturbation response research.
Three guiding principles
Clear questions
Define the target cells, interventions and experimental endpoints before choosing a model.
Traceable evidence
Document data sources, scope and validation methods so conclusions can be reviewed.
Transparent boundaries
Distinguish conceptual illustrations, computational predictions and experimental results. Do not substitute unverified metrics for scientific evidence.
PROJECT SERVICES
A clear scope for every project
Choose a starting point based on the task, data and validation resources.
Cell state and perturbation analysis
Define cell populations, differential responses, candidate pathways and model selection around project data. Separate associations, predictions and mechanistic hypotheses.
Model evaluation and validation planning
Agree on held-out tests, comparison baselines, evaluation metrics and experimental follow-up conditions for reviewable project outputs.
START WITH A QUESTION
Begin with a cellular question.
Clarify the objective, data and validation pathway so predictions can inform the next experiment.