Software Engineering Solutions for Life Sciences and Healthcare
In the worlds of healthcare and life sciences, digital transformation is a strategic necessity. Organizations are turning to advanced technology to break through critical barriers, improve clinical efficacy, and scale their operations. From accelerating diagnostics to enhancing medical imaging, custom-built technology is what separates industry leaders from the rest.
With our partners at Nuna Digital i lifesciences DIGITAL, we operate at the intersection of technological innovation and deep industry knowledge. As your dedicated technology partner network, we specialize in developing bespoke solutions that solve the unique and complex challenges of the life sciences and healthcare sectors.
This article showcases some real-world examples where our custom solutions have delivered measurable results. We’ll also walk you through our flexible partnership models, designed to integrate seamlessly with your team. Because in this field, success isn’t just about what you build—it’s about how you build it.
From Theory to Impact: Our Success Stories
The true measure of a technology partner lies in delivering tangible results. These successes were made possible by our technical expertise and our adaptable partnership frameworks, which allowed us to integrate seamlessly with each client’s unique needs.
Revolutionizing Diagnostics: AI-Powered Capsule Endoscopy Analysis
For an innovative medtech company, we developed an AI solution to automate the review of capsule endoscopy images, dramatically reducing analysis time while ensuring high diagnostic accuracy. This project was delivered by specialists from BioCam, a company specializing in AI for gastrointestinal diagnostics.
- Challenge: Each capsule endoscopy exam generates 50,000 to 70,000 images, creating a massive data bottleneck. This led to prolonged review times, clinician fatigue, and potential diagnostic errors.
- Solution: We built an advanced system using convolutional neural networks (CNNs) to automatically detect 11 classes of pathology, assess image quality, and intelligently filter non-informative frames from the review queue.
- Result:
- The AI automatically filters over 80% of non-informative images.
- It retains over 90% of frames containing pathological findings, significantly accelerating the diagnostic process.
Read the full case study here.
Enhancing Microbiology: Deep Learning for Accurate Bacteria Detection
For a client providing automation solutions to a top-10 global pharmaceutical company, an existing analysis system was producing too many false positives. Our deep learning solution delivered the accuracy needed to fully automate the process.
- Challenge: A legacy computer vision system was misidentifying artifacts like air bubbles as bacterial colonies. This forced costly manual review of every sample and created significant operational delays.
- Solution: We designed and integrated a new deep learning image analysis module. The AI was trained to distinguish true bacterial colonies from common artifacts with high precision, eliminating the need for expensive hardware upgrades.
- Result:
- Fully automated the sample review process, eliminating a critical bottleneck.
- Delivered significant operational cost savings by removing the need for specialist intervention.
- Accelerated analysis times and improved process repeatability for consistent quality at scale.
Read the full case study here.
Accelerating Research: Rapid Bacterial Strain Recognition with AI
A research and diagnostic organization needed to overcome the severe limitations of traditional bacterial identification methods, which were slow, costly, and required highly specialized personnel.
- Challenge: The client’s research was constrained by traditional methods that created a seven-day data latency, hindering rapid discovery and decision-making.
- Solution: We created a novel system using a dedicated optical device to capture unique Fresnel patterns of bacterial colonies. An AI/ML model was then trained to analyze these patterns and identify dozens of different bacterial species.
- Result:
- Reduced analysis time from 7 days to a maximum of 24 hours.
- Achieved an identification accuracy of over 96%, confirmed by an independent certified laboratory.
Read the full case study here.
Improving Patient Safety: Predictive AI for Hypoglycemia Risk in Diabetics
A medical facility sought an accessible way to protect diabetic patients from hypoglycemia without relying on expensive continuous glucose monitoring (CGM) systems.
- Challenge: Providing timely care required a medical team to manually analyze patient data, a process that created dangerous delays in intervention.
- Solution: We developed a mobile AI/ML system that analyzes data from standard glucometers to predict hypoglycemia episodes. We created a flexible ML pipeline and tuned the model to achieve the optimal balance between sensitivity (detecting true events) and specificity (avoiding false alarms).
- Result:
- The system delivers effective, automated prediction of hypoglycemia risk.
- It empowers patients to take preventive action via mobile alerts, significantly improving their safety and quality of life.
Read the full case study here.
De-Risking Complex Systems: Prototyping a National Medical Quality Registry
Sano Science International Research Institute needed to develop sophisticated tools for managing massive amounts of patient data to improve treatment through medical quality registries.
- Challenge: The project required a deep understanding of complex clinical workflows to create a system capable of analyzing vast patient datasets, migrating to the cloud, and ensuring robust data privacy.
- Solution: Through intensive product discovery workshops, we mapped user needs and business processes to create comprehensive project documentation and a functional prototype of a key registry editor module.
- Result:
- The client received a fully functional prototype that de-risked the project and validated the technical approach before full-scale development.
- The final product is now slated for introduction into Polish hospitals, with plans for international licensing.
“The quality of services provided was at the highest possible level. Innovation and proactivity were noticeable throughout the cooperation. The team was competent and professional, which contributed significantly to the successful course of the project.”
— Maciej Malawski, Director of Sano
Read the full case study here.
Advancing Telehealth: Face-Scanning Technology for Health Monitoring
A Swedish start-up aimed to create a convenient, mobile-first solution for monitoring key health parameters, turning a standard smartphone into a powerful diagnostic tool.
- Challenge: Develop a mobile app capable of accurately measuring basic bloodstream parameters—like oxygen saturation and blood pressure—using only a smartphone’s camera.
- Solution: We developed a solution that analyzes ballistocardiography signals from a two-minute video of a user’s face to predict key health metrics.
- Result:
- Achieved an oxygen saturation prediction accuracy of over 97%.
- Confirmed the feasibility of predicting systolic and diastolic blood pressure from the same recordings.
Streamlining Clinic Operations: A Modern Billing App for Psychotherapy
For the German company ergosoft, we modernized a legacy application to improve usability and simplify complex billing processes for psychotherapy practices.
- Challenge: The client’s application, in use since 1999, needed a more intuitive design and a streamlined workflow for processing payments with Germany’s national health insurance.
- Solution: Our team redesigned the user experience (UX) from the ground up and developed “AMBO,” a new, dedicated web application for billing services built with a modern tech stack (C#, .NET, React.js).
- Result:
- The new application successfully simplified and organized complex clinic processes.
- The project provided the modern, scalable foundation necessary to expand the client’s entire healthcare product portfolio.
“In addition to their technological capabilities, we were impressed by the open corporate culture and internationality.”
— Fabian Gundlach, CEO, ergosoft GmbH
Read the full case study here.
Your Partner in Digital Health Innovation
In a sector defined by rapid innovation and regulatory complexity, success demands more than just technology; it requires a strategic partner who understands the nuances of life sciences and healthcare.
Our partnership network is more than a software vendor—we are a dedicated team of experts with proven experience delivering high-impact solutions that solve real-world problems. We combine deep industry knowledge with technological excellence to build custom solutions that improve diagnostics, accelerate research, and enhance patient care.
By offering flexible engagement models, we ensure our collaboration is perfectly aligned with your strategic goals. We are committed to a partnership built on transparency, expertise, and a shared drive to push the boundaries of what’s possible.
Ready to see how our expertise can help you achieve your goals?
Book a complimentary consultation with our team today.
