Human tissue models · AI-supported evidence

Understand how kidney disease damages the heart.

Corelia Bio is developing HETS™, a human engineered tissue system for studying chronic kidney disease–driven cardiac injury and fibrosis, extended by Corelia Intelligence, its AI-based research platform.

In validation design · seeking two design partners

Conceptual illustration of connected cardiac and renal tissue modules
HETS™Concept illustration

12+ yearsFounder’s translational research experience

Cardio-renal focusCKD, cardiac injury and fibrosis

Göttingen, GermanyLife-sciences ecosystem

The research question

Connect disease context
to tissue response.

For a cardio-renal program, an isolated readout is only part of the picture. The proposed HETS™ approach brings CKD-associated stress, engineered cardiac tissues and functional measurements into one study design.

The aim: help R&D teams investigate mechanisms and prioritize the next experiment with a model built around their question.

The scientific approach

From kidney-associated stress
to a measurable cardiac response.

Read the scientific overview →
HETS™ / system architectureDesign schematic · validation in progress
  1. Input / renal context

    CKD-associated stress

    Uremic, inflammatory and metabolic signals define the disease context.

  2. Interface / exposure

    Transfer of soluble signals

    A defined exposure links the renal context to the cardiac tissue response.

  3. Response / cardiac tissue

    Engineered myocardial module

    Measure remodeling and the response to a reference intervention.

Design schematic for scientific discussion, not an experimentally validated device architecture. The scientific overview covers study controls, measurements and open design choices.
Functional

Contractility, relaxation and calcium handling.

Structural

Fibrosis, matrix organization and stiffness.

Molecular

Secreted factors and focused response signatures.

First use case

CKD-driven cardiac injury and fibrosis.

The first planned study asks whether CKD-associated stress can produce a reproducible remodeling phenotype—and whether a reference intervention can partially reverse it.

HFpEF (heart failure with preserved ejection fraction) is a relevant disease context. The initial focus is on remodeling and intervention response.

Explore the validation plan →

Questions to co-design

  1. 01

    Target relevance

    Does the candidate pathway modify cardiac remodeling?

  2. 02

    Biomarker relevance

    Which signatures track with functional rescue?

  3. 03

    Intervention response

    Can the study distinguish an informative response from nonspecific toxicity?

Design partnerships

Shape the first study
around your research question.

For translational R&D teams working on CKD, cardio-renal disease or fibrosis. We are seeking two partners to help define the initial context of use.

01 / Explore the fit

Start with a conversation.

Bring a non-confidential research question and identify a scientific point of contact. An initial discussion explores whether the proposed model is relevant.

02 / Define the study

Build a written scope.

The proposed design output covers model boundaries, controls, endpoints, acceptance criteria and the decision the study should support.

03 / Agree the next step

Scope an experimental pilot.

Experimental work would follow a separate agreement on feasibility, deliverables, timing, fees and responsibilities.

Your contribution

Scientific input and review of the study design. Materials or data requirements are agreed during scoping.

Timing & commercial terms

Set together after the initial discussion, according to study complexity and validation readiness.

Confidentiality & IP

Begin non-confidentially. Agree any confidentiality, data-use and IP terms before sharing protected information.

Help define the research question, study conditions and success criteria for the first evidence package.

Explore a design partnership ↗

Corelia Intelligence · AI-based platform

Decision-ready evidence for cardio-renal R&D.

Corelia Intelligence is Corelia Bio’s AI-based research workspace. It turns fragmented evidence into structured, reviewable decision dossiers for cardio-renal programs.

It extends HETS™: evidence review helps frame the research question and the decision a study should support, before experimental work is scoped.

How it works

  1. 01

    Frame the question

    Define the target, biomarker or intervention question a program needs to answer.

  2. 02

    Organize and review the evidence

    Bring fragmented sources into one structured view and review them against the question.

  3. 03

    Export a decision dossier

    Share a version-locked dossier that records the evidence behind each decision.

Ronald St-Louis, PhD, founder of Corelia Bio

Founder

Ronald St-Louis, PhD

12+ years connecting disease biology with drug-discovery questions.

Experience spans diabetic kidney disease, cardiometabolic disease, fibrosis and target validation, with research and drug-discovery roles across Harvard / Joslin Diabetes Center, OVIBIO and Evotec.

Corelia Bio is in its founding and validation-design phase, within the Göttingen life-sciences ecosystem.

Acknowledgements

Supported on the path from validation design to first studies.

With thanks to the accelerator programs and innovation networks that support Corelia Bio in its founding phase.

For investors

A focused pre-seed validation plan.

View the investor brief →

Let’s talk

Start with
your question.

Explore a design partnership, scientific collaboration, investment or advisory conversation.

Tell us a little about your interest. Corelia Bio will review your inquiry and follow up by email to discuss the next step.

ronald@corelia-bio.com ↗

Prefer a direct conversation? Mention an introductory call in your message.

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Please share non-confidential information only.