Valinor trains virtual patient models
to make human biology predictable
Disease is found late. Drugs are tested blind. Patients are treated by population, not by biology.
What healthcare needs is a model of the patient.
Valinor is building it.
We collect more than single-cell readouts from isolated experiments — we generate virtual patient profiles grounded in rich, longitudinal data across a broad spectrum of multi-omics and clinical assays.
scRNAseq
Bulk RNAseq
Proteomics
cfDNA Methylation
Whole Genome Sequencing
Longitudinal Health Records
MRI Imaging
Amyloid PET Imaging
Histopathology
Proprietary Data Engine
We generate proprietary, patient-derived datasets collected across the timepoints that matter, giving machine learning the data it needs to truly impact drug development.
Virtual Patient Representations
We learn representations of individual patients from multimodal longitudinal data across disease and treatment.
Interpretability
We embed DNA, methylation, transcriptomics, proteomics, imaging, and structured clinical data into one space, capturing the heterogeneity of patient biology.
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