Cooperation Options

Biomedical Research Planning and Methodology

Proper experimental design from the start saves up to 80% of the time and budget when processing results. We help translate biological ideas into rigorous scientific protocols, minimizing biases and optimizing resources.

• Study Design: Assistance in choosing the study type.
• Power Analysis: Determining the minimum sample size to achieve statistical significance.
• Hypothesis Formulation: Translating biological and medical questions into the rigorous language of statistical hypotheses, formulating PICO/PECO.
• Statistical Analysis Plan (SAP): Before data collection, we establish the rules of the game. SAP is a strict requirement of leading journals, preventing data manipulation (p-hacking).
• Protocol development: Assistance in writing methodological sections for grant applications (Russian Science Foundation, government assignments) and ethics committees.

Organization of data collection, validation, and storage

We help eliminate the chaos of Excel spreadsheets and create a secure, structured digital environment for your project.

• Custom database development: Creating a storage structure tailored to the specifics of your research.
• Local web interface: Deployment of user-friendly electronic case report forms (eCRFs). Data entry is performed through a browser on the institute's local server.
• Automatic validation: Setting up a logical control system for data entry (e.g., prohibiting the entry of unrealistic values).
• Security and backups: Ensuring access rights and daily backups to protect against data loss.

Biomedical data analysis

Data preparation for analysis, descriptive and statistical analysis, machine learning, visualization, interpretation of results, and preparation for publication.

• Classical biostatistics: Descriptive data analysis, distribution estimation, parametric and nonparametric tests, survival analysis, time series analysis.
• Multivariate analysis and machine learning: Pattern discovery using clustering, construction Predictive, diagnostic, and other mathematical models (regression, random forests, gradient boosting, neural networks).
• Visualization: Creation of any graphs and charts for publications and reports.

Interaction Formats:

• One-time consultations: Express audit of your completed research plan;
• Project participation: Full inclusion of our employee in the grant or research project team;
• Working with third-party organizations: on a commercial basis and/or under contracts with institutions;
• Fulfilling orders from individuals and legal entities: on a commercial basis under a contract.

Advantages of working with us

• Professional Stack: We use R, Python, SQLite, PostgreSQL, and Docker, which guarantees reproducible research. We implement an agent-based approach to scientific project work using LLM.
• Understanding the scientific field: We speak the same language as physicians and biologists.
• Institutional security: Data is not transferred to third-party cloud services and is stored within the institute's closed system.

Contacts

197376 Saint-Petersburg prof. Popov street, 15/17

Phone: +7 (812) 499–15–49

e-mail: ai@influenza.spb.ru