Healthcare and Biotechnology

We accelerate medical research and improve care quality with data and AI. We create technology solutions for drug development, medical diagnostics, and clinical process management, adhering to strict standards.

Discuss Medical Solutions
Case Study: AI for Medical Image Analysis

Digital Innovations for Medicine and Biotech

Technologies Trusted by Doctors and Regulators

In the field of life and health, accuracy, safety, and compliance with regulatory requirements are paramount. We design and implement solutions with these constraints in mind, using AI and data analysis as tools to support clinical decisions, optimize R&D, and ensure traceability at all stages.

Problem: Long and costly drug development cycles, low compound screening efficiency, difficulty analyzing clinical trial results.
Our solution: Developing platforms for in silico screening and predicting molecular properties using machine learning. Creating clinical trial data management systems.
Result: Accelerated preclinical research, reduced R&D costs, more accurate candidate selection.
Problem: Subjectivity in interpreting diagnostic images, high workload for doctors, late disease diagnosis.
Our solution: Implementing computer vision systems for medical image analysis (as a second opinion). Developing algorithms to identify patterns in multidimensional patient data.
Result: Increased diagnostic accuracy and speed, fewer errors, personalized treatment approaches.
Problem: Strict regulatory requirements for documentation, system validation, and data integrity in pharma and biotech.
Our solution: Consulting and support for IT system validation in accordance with GAMP 5, FDA 21 CFR Part 11. Developing solutions with “validation built into the design.”
Result: Successful regulatory inspections, reduced market entry risks.

Our Partners in Life and Health Sciences

Pharmaceutical companies and biotech startups

Goal: Accelerating the development and market launch of new drugs and therapies.

Industrial consumers and large businesses

Goal: Reducing product energy intensity, optimizing energy costs (including via renewables), meeting ESG requirements.

Clinics and diagnostic centers

Goal: Implementing AI tools for diagnostic support, optimizing workflows and patient flow management.

Manufacturers of medical equipment and software

Goal: Integrating intelligent algorithms into their products to increase competitiveness.

Project: Diagnostic Support System for an Oncology Clinic Network

A network of oncology centers faced high workload for radiologists and needed to standardize treatment dynamics assessment using CT scans.

⦁ AizoneCloud Comprehensive Solution

Engineering consulting

Audited workflows and IT infrastructure, ensured solution compliance with data protection regulations.

Implementation of AI

Trained a model on a labeled CT scan dataset to automatically segment and measure tumor volume with expert-comparable accuracy.

Integration

Embedded the module into the existing medical information system for convenient doctor use.

Effect: Image analysis time reduced by 65%, increased consistency between specialists, objective tool for tracking treatment dynamics. The project passed ethical review.

Technologies with a Focus on Safety and Regulation

Industry specifics require a special approach to project implementation.

Engineering consulting

Audit for GxP compliance, architecture design considering regulatory requirements.

Implementation of AI

Development, testing, and validation of algorithms for sensitive medical data.

Infrastructure design

Creating highly secure and fault-tolerant environments for storing and processing medical data.

Ready to implement innovations in medicine with guaranteed compliance?

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Download AI in Healthcare Overview (PDF)