Explainable causal AI for drug discovery

We uncover verifiable therapeutic opportunities for biotech and digital health.

EasyHelpCare LLC powers EasyAtom Engine as a B2B hypothesis engine for biotech and pharma. The focus is technical clarity, analytical traceability, and audit-ready research outputs.

60Validated hypotheses
17Causal reasoning stages
B2BLicensing for R&D
Audit-readyTraceable outputs
Featured case

Abacavir → Hematologic Cancer

EasyAtom Engine identified a novel, strong causal hypothesis for an approved drug. This example shows how the engine goes beyond correlations to surface candidates for research pipelines.

What this case shows

  • R_ab: 1.9462 — the internal causal association score from EasyAtom Engine.
  • Meaning: higher values indicate hypotheses with stronger causal coherence, pathway support, and graph evidence.
  • Disclaimer: this is an in silico hypothesis that requires further validation before any clinical interpretation.
View the full hypothesis
Mission

Turn causal intelligence into verifiable biomedical hypotheses.

EasyHelpCare develops digital health products that prioritize auditable data, traceability, and regulatory responsibility. Our goal is to provide research hypotheses useful for biotech, pharma, and R&D teams.

Scientific quality

We generate predictions with causal traceability and clear metrics so each hypothesis can be reviewed by clinical experts and regulators.

Decision support

We help prioritize discoveries, reduce risk, and select candidates with evidence-based ranking, not just raw lists.

Business model

B2B solutions for biotech, pharma, and clinical research.

EasyAtom Engine is offered as an explainable hypothesis engine for partners who need to prioritize verifiable discoveries. Its complementary visualization interface is designed to support analysis and review with clear usage boundaries.

Licensing and partnerships

  • Causal AI engine for drug discovery teams.
  • Integration with R&D workflows and candidate evaluation.
  • Access to prioritized, audit-ready hypotheses.

Complementary interface

  • EasyAtom Engine as the primary product.
  • Visualization layer to support interpretation.
  • Designed to aid scientific review, not replace technical validation.
Founding team

A hybrid team of technology, health, and compliance experts.

EasyHelpCare is led by professionals who understand both the complexity of medical AI and the need for a strong legal framework in health.

Photo of Enrique Riveron

Enrique Riveron

Co-founder & CTO

Architect of EasyAtom Engine. Leads causal integration and the technical traceability of every prediction.

Photo of Adrian

Adrian

Co-founder & COO

Leads operations, compliance, and the bridge between product and health applications.

Trust

Values shown with facts, not empty words.

Transparency

EasyHelpCare LLC is registered in Florida and uses clear language around legal responsibility and usage boundaries.

Credibility

The site highlights key metrics and direct links to the technical engine so visitors can verify the product scope.

Contact

info@easyhelpcare.com • EasyHelpCare LLC • Naples, FL