We turn medical research questions into working AI solutions
AIMedLab.pro is a team of AI specialists working with pharmaceutical companies, healthcare institutions and research groups. We study your task and data, then design, build and validate the AI solution that your study needs.
- Pharma & Biotech
- Hospitals & Clinics
- Academic & Research Teams
Built for those who move medicine forward
Every organisation brings a different question, different data and different constraints. We adapt to all three.

Pharma & Biotech
Accelerate discovery, clinical trials and real-world evidence generation with models built around your pipeline and data.
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Hospitals & Clinics
Turn routine clinical data into validated research and decision-support tools that fit how your staff work.
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Academic & Research Teams
An AI team for your grant, thesis or study, from the first hypothesis to a reproducible, publication-ready pipeline.
Learn moreFrom your research question to a validated AI solution
We do not sell ready-made products. Each solution is designed for one specific study.
- 01
Understand the research question
We meet your clinicians or scientists, study the hypothesis, endpoints, data sources and constraints, and check whether AI is the right tool at all.
- 02
Data audit & study design
We assess data quality, volume and labelling, agree on a validation strategy and success metrics, and plan de-identification and access.
- 03
Model development
We prepare the data, build baselines and iterate on models, showing you interim results at every stage. No black boxes.
- 04
Validation & interpretation
We validate on held-out and external data, check calibration, bias and explainability, and perform the statistical analysis your reviewers will expect.
- 05
Delivery & support
You receive a working solution, documented code, a technical report and support for publication, deployment or regulatory submission.
Where we apply AI in medicine
Eight areas we work in. Most real projects combine several of them.

Medical Imaging AI
Segmentation, detection and classification on CT, MRI, X-ray, ultrasound and digital pathology.

Clinical NLP & Medical LLMs
Structured data extraction from clinical notes, reports and literature, plus domain-specific AI assistants.

Drug Discovery & Molecular Modelling
Property prediction, virtual screening and generative chemistry to focus lab work on the best candidates.

Biosignals & Wearables
ECG, EEG, PPG and continuous monitoring data turned into reliable digital biomarkers.

Clinical Predictive Analytics
Risk scores, outcome prediction and survival models on EHR, registry and trial data.

Genomics & Multi-omics
Machine learning on genomic, transcriptomic and proteomic data for biomarkers and subtypes.

Clinical Trial Intelligence
Data-driven feasibility, recruitment, patient matching and trial data quality.

Custom Research AI
Your research question fits none of these categories? We design the method from scratch.
AI engineering held to the standards of medical science
Medical AI often fails when it is built like a generic IT project. We combine machine-learning engineering with the discipline of clinical research: careful validation, honest metrics and respect for patient data.
How we ensure qualityPatient data stays protected
De-identification, minimal data access, encrypted transfer, and on-premises deployment inside your infrastructure when required. Our processes follow GDPR and HIPAA principles.
Scientific rigour
Pre-agreed metrics, proper train/validation/test splits, external validation where possible, and reporting aligned with TRIPOD-AI, CONSORT-AI and similar guidelines.
Explainable by design
Clinicians need to understand why a model makes a prediction. We provide feature attributions, saliency maps and error analysis, not just a single accuracy number.
Regulatory-aware engineering
If a research model could later become a product, we document data lineage, versioning and testing to support a future quality-management and regulatory process.
Results you can use, publish and own
Working AI model
Trained, versioned and tested, ready for your environment.
Reproducible pipeline
Clean, documented source code. You own all of it.
Technical & statistical report
Methods, metrics, validation results and limitations.
Publication support
Figures, tables and methods text for your manuscript or grant.
Deployment
On-premises, private cloud or integration into existing systems.
Knowledge transfer
Workshops so your team can maintain and extend the solution.
Frequently asked questions
Who are your typical clients?
Pharmaceutical and biotech companies, hospitals and clinics, and academic research groups that have a specific medical research question and the data to explore it, but either no in-house AI team or a team that needs extra capacity.
We are not sure our data is good enough for AI. Can you help?
Yes. Most projects start with a data audit. We assess volume, quality and labelling and tell you honestly what is realistic. Sometimes the right answer is a simpler statistical method, and we will say so.
How do you handle patient data and confidentiality?
We work with de-identified data whenever possible, sign NDAs and data processing agreements, and can work entirely inside your infrastructure so that no data leaves your organisation.
Who owns the results and the code?
You do. Models, source code and results are transferred to you. By agreement, we can co-author publications where our methodological contribution warrants it.
Are your solutions certified medical devices?
No. We build research-grade AI solutions. If your goal is a certified product, we design the work so it can feed into your quality-management and regulatory process, and we document it accordingly.
How long does a typical project take?
A feasibility study usually takes 3–6 weeks. A full research project typically takes 2–6 months, depending on data availability and validation requirements.
Is the first consultation free?
Yes. Tell us about your research question and we will come back with an initial assessment and a proposed approach.
Have a research question?
Tell us about your study, data and goals. We will reply with an initial assessment and a proposed approach. The first consultation is free.