Our Science
Virtual human models, measured against real experiments and real trials.

Benchmarks
By therapeutic area
Held-out performance across 16 therapeutic areas, measured by AUROC. AUROC is how often VERDICT ranks a trial that succeeded above one that failed: 0.5 is a coin flip and 1.0 is always right.
| Therapeutic area | Later trials | Unseen drugs |
|---|---|---|
| Metabolic | 0.86n = 184 | 0.93n = 149 |
| Endocrinology | 0.76n = 112 | 0.89*n = 42 |
| Pulmonology | 0.74n = 287 | 0.87n = 89 |
| Urogenital | 0.62n = 173 | 0.84n = 72 |
| Musculoskeletal | 0.72n = 87 | 0.83*n = 51 |
| Oncology | 0.73n = 409 | 0.81*n = 47 |
| Dermatology | 0.76n = 213 | 0.80n = 103 |
| Cardiology | 0.74n = 146 | 0.78*n = 56 |
| Immunology | 0.74n = 242 | 0.77n = 102 |
| Hematology | 0.76n = 118 | 0.77*n = 21 |
| Infectious disease | 0.74n = 239 | 0.76n = 75 |
| Neurology | 0.66n = 205 | 0.75n = 156 |
| Congenital | 0.79n = 131 | 0.73n = 72 |
| Gastroenterology | 0.77n = 169 | 0.69*n = 57 |
| Ophthalmology | 0.70*n = 55 | 0.66*n = 28 |
| Psychiatry | 0.65n = 162 | 0.59n = 117 |
Bars run from 0.5 (chance) to 1.0 (perfect). Areas overlap. * Fewer than 60 trials; estimates are less certain.
Comparison with previous methods
VERDICT outperforms SPOT and HINT across all five held-out tests, measured by AUROC. AUROC is how often a method ranks a trial that succeeded above one that failed: 0.5 is a coin flip and 1.0 is always right.
Same-split comparison. Bars start at 0.5 (chance). Whiskers show reported intervals.
Biology (GEM)
89%
Of lab-replicate correlation on the strongest reference-conditioned holdouts.
0.83 gene-wise correlation, using an observed control sample, versus the pooled 0.93 lab-replicate benchmark.
Publications
Generative genomics accurately predicts future experimental results
GEM-1 · bioRxiv · 2025
Pharmacologic modulation of RNA splicing enhances anti-tumor immunity
Prior to SynthesizeCell · 2021
Discovery of synthetic lethal and tumor suppressor paralog pairs in the human genome
Prior to SynthesizeCell Reports · 2021
RNA components of the spliceosome regulate tissue- and cancer-specific alternative splicing
Prior to SynthesizeGenome Research · 2019
Reproducible RNA-seq analysis using recount2
Prior to SynthesizeNature Biotechnology · 2017
svaseq: removing batch effects and other unwanted noise from sequencing data
Prior to SynthesizeNucleic Acids Research · 2014
Tackling the widespread and critical impact of batch effects in high-throughput data
Prior to SynthesizeNature Reviews Genetics · 2010
Synthesize open-source software
- gem-1 ↗
GEM-1: the first generative expression model, with the held-out evaluations from the preprint.
- pysynthbio ↗
Python client for generating expression data with GEM.
- rsynthbio ↗
R client for generating expression data with GEM.
Trained on human biology.
Our models learn directly from one of the world’s largest harmonized human RNA-seq collections, connecting biological measurements with curated experimental context and clinical trial outcomes.
- bulk RNA-seq samples
- 800,000
- single cells
- 400M
- unique perturbation contexts
- 22,300
- human tissues
- 50+
- therapeutic areas
- 40+
- clinical trials with labelled outcomes
- 12,418