Bioptimus
UnknownFoundation models that learn multimodal multi-scale human biology to support drug discovery, diagnostics, and clinical trials.
工具信息
什么是 Bioptimus？
Bioptimus trains native foundation models across biological modalities and scales to learn human biology dynamics and predict outcomes for research, trials, and patient care. Its work centers on building models that understand biology from cell to tissue to organ levels to advance drug discovery, diagnostics, and clinical applications.
核心功能
H-Optimus
Histology foundation model that ranks first in independent pathology benchmarks and extracts spatial biology signals from routine H&E slides.
M-Optimus
Multimodal foundation model that integrates pathology, spatial transcriptomics, and genomics in one architecture to decode biology across scales.
STELA data engine
Multi-institutional initiative that generates deeply profiled, clinically linked multimodal patient data spanning geographies and diseases.
Multimodal multi-scale architecture
Models designed from day one to jointly learn from cell to tissue to organ scales and reveal cross-modal patterns invisible in siloed analysis.
使用场景
- #1
Drug target and biomarker discovery
Predict spatial distribution of ADC drug targets, immune microenvironment, and stromal architecture from routine histology slides without new assays.
- #2
Indication expansion
Score archival cohorts across disease, stage, and mechanism of action using archived H&E slides to identify patient subsets suited to a drug.
- #3
Diagnostics and spatial biology
Integrate histology, spatial transcriptomics, and genomics signals in a single pipeline for clinically actionable biology beyond standard workups.
- #4
Treatment response and trial design
Discover multimodal biomarker signatures that distinguish responders from non-responders even in small early-phase cohorts to improve trial success probability.
定价方案
Model access is offered via request on the website; no public pricing tiers or commercial terms are stated on the official homepage.
