Unlock the Full Potential of Your Data
The rapid advancement of health technologies has led to an explosion of biological and medical data from diverse and often heterogeneous sources (both structured and unstructured). Managing this data presents significant challenges, requiring advanced analytical methods such as machine learning and deep learning. These approaches leverage computational power to process vast datasets, identify complex patterns, and generate accurate predictions.
Effectively applying these tools demands both analytical expertise and a deep understanding of biomedical fields to ensure clinically relevant outcomes. Data analysis has become essential for turning these challenges into opportunities, optimizing research, and enhancing medical decision-making.
At B&A Biomedical, we design analytical solutions tailored to your data and specific challenges.
With deep expertise in biological and medical data analysis, we are perfectly positioned to tackle the complexities of big data in healthcare. By combining traditional statistical analysis methods with advanced artificial intelligence algorithms (machine learning, deep learning), we develop customized analytical solutions that transform your data into actionable insights. Whether for prognosis, improving diagnostic accuracy, personalizing treatments, optimizing clinical research, or developing robust analytical protocols, our team of experts supports you at every step.
We also excel in medical image analysis, leveraging AI to detect subtle anomalies in MRI, CT scans, and other imaging modalities to enhance diagnostics and accelerate clinical decision-making. Additionally, we specialize in modeling processes, 3D reconstruction, registration, and segmentation. Our innovative, reliable solutions are designed to maximize the potential of your data while meeting the highest standards of modern research and healthcare.
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Our Analyses in Action
Targeted Medicine & Clinical Trial Optimization
Pattern/Biomarker Detection: Using individual medical and biological data, our classification algorithms identify distinctive patterns specific to different groups. Practically, this enables the identification of subpopulations that respond to a particular treatment or high-risk groups for prognostic purposes. These insights are invaluable for diagnostic support, leading to more precise and effective patient care.
Discover how this method is applied in our Pelargos project and in the identification of treatment responders


3D Surface Analysis & Modeling
Customized Analytical Pipelines for Complex Imaging Data: We have developed a tailored pipeline to optimize T1 MRI brain image analysis, segment regions of interest, and reconstruct them in 3D. This innovative tool enables precise measurement of brain surface complexity by generating a detailed gyrification index map. These insights provide valuable information on human brain morphology, supporting advanced research and clinical applications.
Custom Tool Development: Automated Segmentation
Adaptive Image Processing Solutions for Your Research Needs: We have developed an AI-powered algorithm based on the U-Net architecture, specifically trained on Lightsheet microscopic images of rodent brains. This auto-segmentation tool accelerates and standardizes image analysis, making it particularly valuable for studying specific models or developmental periods. By automating the segmentation process, we reduce variability and enhance result accuracy, enabling more precise and targeted research perspectives.
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