Computational Biology · Precision Health

Activate
your core.

Our CCRM (Curetanics Cellular Response Model) is a technology platform that explores how bioactive natural compounds interact with the individual at the cellular and molecular levels. It focuses on cancer therapy support, post-treatment support and prevention.

01 / Innovation

Personalized Bioactive Intelligence

Individual biology is complex. Our research approach is designed to explore that complexity.

Thousands of scientific publications describe biological effects of secondary plant compounds and other bioactive substances. Translating that knowledge into an individual context remains the real challenge.

Curetanics starts with individual analysis and a structured profile, then connects that context with mechanistic evidence. The aim is to explore which compounds may be relevant, for whom, why, at which point in time—and with which constraints.

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02 / Technology

CCRM: individual analysis first

CCRM is in operational use for research and responsible expert work. Every analysis starts with the individual biological and clinical context.

In operational use

CCRM — Curetanics Cellular Response Model

From individual analysis to a contextual model

CCRM is an existing model in operational use. Individual analysis is the starting point: relevant findings and their quality, timing and context are assessed before a structured profile is connected with evidence, mechanistic modelling and expert review. Supporting technical, validation and regulatory documentation exists; the detailed records are not reproduced on this website.

Methods, evidence and documentation
Individual analysis
Available clinical, molecular and laboratory findings, medication and time context are assessed for relevance, quality and completeness before profiling.
Structured individual profile
Time-stamped observations, tissue and assay metadata, treatment exposure, units and explicit missing values.
Mechanistic modelling
The individual profile provides the context for the evidence graph, exposure constraints and model-based hypotheses.
Expert review
Evidence-linked outputs make assumptions, uncertainty and interaction questions inspectable for responsible expert assessment.
02.01

Individual analysis

Individual analysis comes first: relevant biological, clinical, medication and time-related findings are assessed for quality and context, then organized into a structured profile.

02.02

Mechanistic mapping

The knowledge graph connects compounds, targets and pathways with source, assay context and conflicting evidence, interpreted against the individual profile.

02.03

Contextual simulation

Contextual modelling builds on the individual analysis and evidence graph to investigate mechanistic hypotheses. Cellular states require relevant measurements; routine blood tests do not reveal every intracellular state.

02.04

Explainable output

Outputs expose supporting evidence, model assumptions, uncertainty and unresolved questions for expert review.

03 / One continuum

Before.
During.
Beyond.

Cancer does not begin with diagnosis—and health does not end when treatment is completed. Our platform is conceived across the full continuum.

03.1

Before disease

Prevention

Exploring how selected bioactive compounds may support risk-aware, evidence-led strategies in an individual context—even when no diagnosis is present.

Prevention
03.2

During treatment

Therapy Support

Modeling potential interactions relevant to treatment tolerability, biological resilience and immune function—always as a complement to, never a replacement for, medical care.

Therapy Support
03.3

Beyond treatment

Post-Treatment Support

Investigating individualized strategies for recovery, long-term biological support and the reduction of modifiable risk factors during follow-up.

Post-Treatment Support

03.1 / Prevention

Knowledge that begins before the patient journey.

Insights generated in a cancer context may also inform prevention-oriented research for people without a diagnosis.

From generalized advice to contextual understanding.

Curetanics investigates how biological vulnerability, exposures, lifestyle, timing and compound mechanisms may relate. The objective is to build differentiated hypotheses—not to promise that cancer can be prevented by any single compound, product or behavior.

Preventive use of any substance should be evaluated for safety, interactions and individual suitability with qualified professionals.

Risk reduction is not a guarantee of cancer prevention.

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03.2 / Therapy Support

Support the system.
Respect the therapy.

The platform explores questions such as how selected compounds could interact with treatment-related biological stress, immune pathways or adverse-effect mechanisms. Any application must be assessed for treatment interactions and aligned with the treating medical team.

TolerabilityImmune contextInteraction safety

Any use of bioactive compounds must always be reviewed and approved by the treating oncologist and medical team.

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03.3 / Post-Treatment Support

Recovery is a biological phase of its own.

After treatment, the individual context continues to evolve. Curetanics studies how evidence around bioactive compounds may contribute to research on recovery, resilience and modifiable factors associated with long-term health.

RecoveryLong-term contextFollow-up

Any use of bioactive compounds must always be reviewed and approved by the treating oncologist and medical team.

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04 / Science & Evidence

Evidence before assertion

Mechanistic depth.
Transparent uncertainty.

Scientific knowledge is dynamic, incomplete and context-dependent. Our approach is designed to distinguish signals from conclusions and hypotheses from validated findings.

05 / About Curetanics

Biology, viewed through a technological lens.

Curetanics is a technology-driven initiative working at the intersection of computational biology, bioactive compound science and precision health. Cancer is our primary field of application; the platform itself is built to understand complex biological interactions.

Our business units

Research & modelling

CCRM

We build models, evidence structures and decision-support concepts intended for research and responsible expert use.

We do not develop or provide medical treatment.

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Coming soon

Curetanics Shop

A specialist online shop in development for healthcare professionals and people receiving medically supervised care, focused on cancer prevention, supportive care during cancer therapy and post-treatment care.

06 / Network

Affiliates · Enablers · Supporters

Progress is
a collective effort.

A special thank you to the whole network of affiliates, enablers and supporters along our mission.

06.01

Medical

  • Fudan University Shanghai Cancer CenterChina
  • Institut Gustave RoussyFrance
  • The University of Texas MD Anderson Cancer CenterUSA
  • Vanderbilt-Ingram Cancer CenterUSA
  • Cancer Research UKUK
06.02

Technical

  • NVIDIA Inception ProgramUSA
  • OpenAI for StartupsUSA
  • Lenovo ProChina
06.03

Financial

  • National Venture Capital Guidance FundChina
  • French Tech 2030France
  • NIH SEEDUSA

Organizations are acknowledged in the context of the stated network. Inclusion does not by itself imply endorsement of Curetanics, its technology or specific applications.

Start a conversation

Let’s explore what becomes possible when biology meets context.

Research · Technology · Strategic partnerships

contact@curetanics.com