Lou Dutko

From wearable sensors and patient monitors to insulin pumps and surgical robots, embedded software lies at the core of today’s healthcare technology trends. It ensures patient safety, reliable

Being in the agriculture industry means dealing with uncertainty, laborious tasks, and decisions that influence production. How can artificial intelligence make this work easier? In this article, you

What’s next for healthcare tech market? Dive into the upcoming trends that will change the industry in 2025

Most software projects fail – yours doesn’t have to. Get the insights to keep your project on track.

Explore healthcare standards and regulations for medical device development in the USA and learn why you need to consider them for your project.

5 most widespread IoT security risks in healthcare and how to prevent them in your medical software development.

Discover a simple guide to understanding the EU AI Act's impact on your healthcare development.

Discover your responsibilities, what to do, and what to consider to navigate the shifting AI landscape successfully.

Learn how DiGa certification affects healthcare app development and when you must comply.

Learn the benefits of ISO 13485:2016 certification for your business in our article.

Lemberg Solutions signs data processing agreements to ensure information security with clients and to protect their data. Learn all about them from our recent article by Lemberg Solutions CTO, Lyubomyr Dutko.

Hiring for startups is tough, especially on a tight budget. Learn what startup engineering team structure is a match and how to maintain a healthy balance between in-house and dedicated engineering teams.

Farmers continuously monitor livestock for signs of issues in behavior and appearance. This helps ensure that the animals are healthy and well taken care of. With computer vision, you can build solutions that automatically assess the livestock appearance and behavior with an accuracy practically unattainable through manual assessment.

Successful AI development requires large amounts of training data. Learn about selecting, collecting, and preparing training data for AI.

There are two major ways to cooperate with a software or hardware development company: a dedicated team or a fixed-cost project. In this article we will explain when it’s more reasonable to go with a dedicated team model, how it might look, pros and cons, and how you can make this model more (and less) effective.

Learn what mobile app development approach suits your project the best - hybrid or native.

If you want to create an activity tracking application like iPhone Health or Google Fit, you probably know that they use data science to detect people’s motions throughout the day. Creating a brand-new app equals developing algorithms from scratch, and this is a stage where many businesses struggle. Therefore, we’ve decided to share our experience of launching HorseAnalytics, an application that uses data science algorithms to recognize and evaluate the activity of horses.