Calico Biosystems
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Value Proposition
Empowering the Oncology Ecosystem
[PHARMA]
[BIOTECH INNOVATORS]
[CROs]
[AI PLATFORMS]
The Biological Validation Your Pipeline Demands.
Calico Biosystems’ ex vivo tumor explant platform provides the real-world, patient-native biological insights needed to turn multi-omic data into clinical success.
Precision Target Assessment for Smarter Clinical Trials
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Generate real‑world evidence of target expression and co‑expression across the full tumor ecosystem
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Quantify target expression levels and the percentage of expressing cells, enabling anticipation of on‑target/off‑tumor drug effects
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Enable rapid, cost‑effective, and accurate measurement of intact, surface‑accessible target epitopes across all cell populations, reflecting true drug accessibility
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Integrate tumor cell lines used in prior in vitro pharmacology studies, enabling direct comparative analyses and ensuring continuity across experimental datasets
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Incorporate mouse tumor models for cross‑species comparison, supporting the selection of in vivo models that recapitulate clinically relevant target expression levels and provide a strong, data‑driven rationale for model selection
Predicts patient response at the preclinical stage with unmatched precision
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Integrate experimental multi‑omics data generated on tumors to feed proprietary algorithms that predict and quantify drug efficacy
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Assess the efficacy of any class of oncology drugs across the top 12 solid tumor indications
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Evaluate drug efficacy across up to six treatment conditions per tumor
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Validated in 9 real‑world studies comparing CaliPower drug efficacy scores with clinical objective response rates (ORR)
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Validated across 7+ indications and >300 patient tumor specimens
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Enable ranking of lead drug candidates and benchmarking against standard of care (SoC) and competitor therapies
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Support indication prioritization and optimal combination selection for clinical development
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Anticipate dose efficacy and inform dose–response relationship studies
Decipher the mechanism of action of your drug to enhance therapeutic potency
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Leverage multi‑omics data generated from tumor exposure to drugs to characterize MoA in situ at cellular and molecular levels
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Rationally design and evaluate drug combinations to enhance clinical potency
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Identify and validate experimental biomarkers of drug responsiveness
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Enable patient stratification strategies and the design of clinical cohorts enriched for responders
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Build a precision medicine framework to maximize therapeutic impact and durability of response
Starting 2027
Access a unique, large-scale patient tumor data library ubnder on- and off-treatment conditions
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CaliData captures tumor responses across multiple controlled drug perturbations, creating a distinctive dataset
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Deep multi‑omics profiles linked to clinical and pathological annotations at the patient level
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A proprietary, dynamic data asset that trains AI models, guides drug design, and predicts clinical outcomes with high accuracy
