Multi-Organ Integration

Connect organ systems for comprehensive, whole-body drug response prediction and systemic toxicity assessment

The Challenge

Why Multi-Organ Matters

Drugs don't act on isolated organs. They circulate through the entire body, are metabolized by the liver, excreted by the kidneys, and can affect distant organs in unexpected ways. Single-organ models miss these critical systemic interactions that often cause clinical trial failures.

70%
Drug Failures from Systemic Effects
$2.6B
Average Drug Development Cost
90%
Clinical Trial Failure Rate
Organ Models

Integrated Organ Systems

Liver

Central metabolic hub processing drugs via CYP450 enzymes. Critical for understanding drug metabolism, DDIs, and hepatotoxicity.

Phase I/II Metabolism | Bile Production | Protein Synthesis

Kidney

Primary excretion organ filtering metabolites. Essential for understanding drug clearance, nephrotoxicity, and renal dosing.

Filtration | Active Secretion | Reabsorption

Heart

Cardiac tissue models measuring contractility and electrophysiology. Critical for detecting QT prolongation and cardiotoxicity.

Contractility | Electrophysiology | hERG Channel

Lung

Air-blood barrier models for inhalation drugs and pulmonary toxicity. Includes mechanical breathing motion.

Alveolar Barrier | Mucus Production | Surfactant

Brain

Blood-brain barrier and neural tissue for CNS drug delivery and neurotoxicity. Critical for neurotherapeutics.

BBB Penetration | Neural Activity | Glial Response

Gut

Intestinal epithelium for oral drug absorption and first-pass metabolism. Includes microbiome interactions.

Absorption | Microbiome | Barrier Function
Technology

Integration Approaches

Physical Coupling

Microfluidic channels physically connect organ compartments, allowing media to flow between tissues and carry secreted factors, metabolites, and drugs.

  • Realistic flow dynamics
  • Organ crosstalk via secreted factors
  • Metabolite exchange

Media Transfer

Conditioned media from one organ model is transferred to downstream organs, simulating systemic circulation without physical connection.

  • Flexible timing protocols
  • Compatible with varied culture systems
  • Scalable to high-throughput

Computational Coupling

Digital twins link experimental data from individual organ models, using PBPK modeling to simulate systemic distribution and interaction.

  • Infinite scalability
  • What-if scenario testing
  • Virtual population generation
Applications

Key Applications

Drug-Drug Interactions

Identify metabolic interactions between co-administered drugs mediated by shared CYP enzymes or transporters.

First-Pass Metabolism

Model gut-liver axis to predict oral bioavailability and the impact of hepatic extraction.

Secondary Organ Toxicity

Detect toxicity in distant organs caused by metabolites generated in the liver or other tissues.

CNS Drug Delivery

Evaluate BBB penetration after systemic administration including the effects of peripheral metabolism.

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