02Research · Institute

Research

Building the scientific foundation of the future of intensive care.

Every innovation begins with understanding. Our research combines physiology, artificial intelligence, engineering, digital medicine and open science to develop the next generation of critical care.

01 · Philosophy

Understanding before innovation.

  • 01

    Technology alone does not transform medicine.

  • 02

    Scientific progress begins with understanding physiology.

  • 03

    Mechanistic thinking transforms data into knowledge.

  • 04

    Artificial intelligence must remain explainable.

  • 05

    Research must be transparent, reproducible and clinically meaningful.

We do not build technology first.
We build understanding first.

02 · Programs

Twelve programs.
One physiology.

Distinct disciplines, one continuous scientific line — from mechanism to bedside.

P-01Active

Physiology

Mechanistic understanding of the critically ill patient as the foundation of every model, every decision, every outcome.

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P-02Active

Explainable Artificial Intelligence

Clinical AI whose reasoning a physician can inspect, challenge and trust — auditability as a first-class property.

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P-03Active

Mechanical Ventilation

Waveform-level intelligence, lung-protective reasoning and physiology-guided support of the respiratory system.

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P-04Active

Digital Medicine

Continuous, high-resolution measurement of physiology and its translation into bedside knowledge.

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P-05Active

Big Data

Governed, privacy-preserving critical-care datasets designed for reproducible science across institutions.

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P-06In development

Critical Care Decision Support

Transparent guidance that surfaces the why behind every suggestion at the point of care.

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P-07Active

Acid–Base Physiology

Modern quantitative frameworks for interpreting acid–base disorders in complex critical illness.

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P-08Active

Sepsis & Host Response

Physiological phenotyping of the septic patient — beyond thresholds, toward mechanism.

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P-09Active

Clinical Informatics

The infrastructure layer that connects physiology, models and clinicians at scale.

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P-10In development

Simulation Science

Safe, high-fidelity environments to explore, stress-test and refine mechanistic hypotheses.

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P-11Active

Mechanistic Modeling

Causal, physiology-first representations of the critically ill patient — models that reason, not only correlate.

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P-12Ongoing

Open Science

Protocols, datasets, code and preprints released together — because critical-care knowledge cannot be trusted otherwise.

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03 · Flagship Initiatives

Long-horizon science, built in the open.

F-01Flagship

PhysioICU

Purpose
A physiology-driven intelligence platform for the intensive care unit.
Scientific challenge
Turning continuous, high-resolution ICU signals into interpretable physiological state.
Future impact
A shared substrate for physiology-first clinical reasoning at every bedside.
F-02Flagship

Respiratory Pyramid Interface (RPI)

Purpose
A new visual language for reasoning about mechanical ventilation.
Scientific challenge
Compressing lung mechanics, gas exchange and effort into a single legible surface.
Future impact
Lung-protective ventilation reasoned about — not memorised.
F-03Flagship

Acid–Base Intelligence

Purpose
Quantitative, mechanism-aware interpretation of acid–base disorders.
Scientific challenge
Complex critical illness rarely fits classical acid–base categories.
Future impact
Faster, deeper, more physiological understanding of the metabolic state.
F-04Flagship

Digital Twin ICU

Purpose
Patient-specific virtual counterparts running in parallel with the real bedside.
Scientific challenge
Coupling mechanistic models with real-time physiology at clinical fidelity.
Future impact
Personalised critical care — decisions rehearsed before they are made.
F-05Flagship

DIC Clinical Intelligence

Purpose
Physiological reasoning for disseminated intravascular coagulation.
Scientific challenge
Coagulopathy is a moving target across evolving critical illness.
Future impact
Earlier recognition, better stratification, mechanistic follow-through.
F-06Flagship

Carbapenemase Discovery Platform

Purpose
A research platform for the molecular ecology of resistance in the ICU.
Scientific challenge
Bridging bedside microbiology and the molecular resistance landscape.
Future impact
A more mechanistic response to the ICU's most urgent resistance threats.
04 · Publications

Scientific Publications

A living, chronological registry of YODA's contributions to the critical-care literature. The catalog is in preparation.

  1. 01

    YEAR · —

    Publication placeholder

    Title of a forthcoming YODA publication.

    Authors · —

    Journal · — · DOI · —

    Abstract will appear here. Publications will be added as they are released, with full metadata, links and open-access preprints where available.

    Read publication
  2. 02

    YEAR · —

    Publication placeholder

    Title of a forthcoming YODA publication.

    Authors · —

    Journal · — · DOI · —

    Abstract will appear here. Publications will be added as they are released, with full metadata, links and open-access preprints where available.

    Read publication
  3. 03

    YEAR · —

    Publication placeholder

    Title of a forthcoming YODA publication.

    Authors · —

    Journal · — · DOI · —

    Abstract will appear here. Publications will be added as they are released, with full metadata, links and open-access preprints where available.

    Read publication
05 · Patents & Innovation

Innovation Pipeline

I-01In preparation

Granted Patents

Protected inventions born from YODA research programs. In preparation.

I-02In preparation

Patent Applications

Filed applications currently under review. In preparation.

I-03In preparation

Technologies in Development

Working prototypes advancing from mechanistic hypothesis to clinical readiness.

I-04In preparation

Future Concepts

Long-horizon ideas — mechanistic, ambitious, deliberately early.

06 · Open Science

Science grows when it is shared.

Protocols, datasets, code and results — released together, or not released at all.

  • O-01

    Open Protocols

    Study protocols shared openly, versioned and citable.

  • O-02

    Datasets

    Governed, privacy-preserving critical-care datasets for reproducible research.

  • O-03

    Open-source Software

    Libraries and tools that carry YODA's methods beyond our institution.

  • O-04

    Validation Studies

    Independent, transparent evaluation of models and methods.

  • O-05

    Preprints

    Early findings released for open scientific critique.

  • O-06

    GitHub Resources

    Reference implementations, notebooks and reproducibility artifacts.

  • O-07

    Reproducibility

    Protocol · data · code · result — released as one unit, or not released at all.

07 · Global Collaboration

Science without borders.

YODA connects universities, hospitals, research institutes, engineers, clinicians and industry across the world — because the physiology of critical illness has none.

UniversitiesHospitalsResearch InstitutesEngineersCliniciansIndustry
08 · Research Impact

A living record of the work.

Research Programs
12

Physiology · AI · Open Science

Publications

Registry in preparation

Collaborators

Global network forming

Countries

Cross-border by design

Patents

Pipeline forming

Open Resources

Protocols · datasets · code

Clinical Projects

Bedside translation active

09 · The Next Decade

The next generation of intensive care begins with research.

Physiology will move from teaching material to computational substrate. Explainable AI will become the language between clinicians and their tools. Digital medicine will make the invisible mechanisms of critical illness continuously visible.

Open science will decide whose work survives the decade. YODA is building for that future — patiently, transparently, and in public.

Manifesto
"We believe every breakthrough in intensive care begins with a deeper understanding of physiology."

Research is not an endpoint.

Research is how better patient care begins.