Scientific Collaboration & Research

Aima Diagnostics is a research-driven medical AI platform focused on advancing the science of laboratory data interpretation, longitudinal biomarker analysis, and clinical decision support.
Scientific Collaboration & Research
Aima Diagnostics is a research-driven medical AI platform focused on advancing the science of laboratory data interpretation, longitudinal biomarker analysis, and clinical decision support.
Who We Collaborate
 Function.        Function.
With
01
  • Physicians and clinical experts
  • Medical and clinical researchers
02
  • Universities and medical schools
  • Research institutes and scientific centers
03
  • Diagnostic laboratories and laboratory networks
  • Digital health and medical AI research groups
published
Publications & Research Output
Aima Diagnostics supports and contributes to:

  • peer-reviewed scientific publications,
  • white papers and technical reports,
  • conference presentations and posters,
  • applied research and real-world evidence studies.


Selected publications and ongoing research initiatives will be published on this page.

Scientific Methodology & Data Ethics

Aima Diagnostics operates under a strict scientific and ethical framework:

  • Use of de-identified, real-world medical data only;
  • Full compliance with GDPR and international data protection standards;
  • Emphasis on statistical validity, reproducibility, and clinical relevance;
  • Continuous model refinement in collaboration with clinical experts;
  • Clear distinction between analytical interpretation and medical diagnosis.

Transparency, peer review, and methodological rigor are central to all research collaborations.
Welcome scientific collaboration in the following research areas
Areas of Scientific Collaboration
AI-Based Interpretation of Laboratory Data
Multivariate and longitudinal analysis of biochemical and hematological markers beyond static reference ranges.
Clinical Decision Support Systems (CDSS)
Research and validation of AI systems that support physician decision-making while preserving clinical autonomy.
Personalized & Context-Aware Interpretation
Population-specific and individualized modeling incorporating age, sex, ethnicity, geography, medication use, chronic conditions, and lifestyle factors.
Research Methodology & Scientific Rigor

Aima Diagnostics follows a structured, research-driven methodology for the development and validation of AI models in laboratory data interpretation.

Our approach combines retrospective and prospective clinical data analysis, longitudinal biomarker tracking, and statistically validated pattern discovery. All AI models are evaluated against clinically relevant endpoints, including sensitivity, specificity, and real-world diagnostic utility.

Model development is conducted in close collaboration with practicing physicians and researchers to ensure medical relevance, reproducibility, and alignment with current clinical guidelines.

How to Become a Partner

We are interested in building long-term, productive partnerships. If you represent an academic institution, a research group, or a clinical practice and share our vision, please contact us to discuss potential areas of collaboration.
Type of Institution