Columbia Engineering researchers have introduced BeatProfiler, a groundbreaking software powered by artificial intelligence (AI) designed to streamline the analysis of heart cell function using video data. This innovative tool consolidates the evaluation of various indicators of heart function, such as contractility and calcium handling, into a single platform. By automating the analysis process, BeatProfiler significantly reduces processing time and minimizes the potential for errors, while also enabling swift differentiation between different diseases and assessing drug effects on heart function.
Dr. Gordana Vunjak-Novakovic, the project leader and a University Professor at Columbia, lauded BeatProfiler as a transformative tool, highlighting its speed, comprehensiveness, and compatibility across computer platforms. The team’s decision to offer the AI software as open-source reflects their commitment to fostering collaboration and feedback from a diverse range of users, including academic, clinical, and commercial labs, to continually refine and enhance its utility.
The genesis of BeatProfiler stemmed from the urgent need for accurate diagnosis of heart diseases. Over years of development, the team incorporated various features to create a tool capable of capturing the function of cardiac models, facilitating studies on cardiac diseases and drug testing. Lead author Youngbin Kim and his collaborators played a crucial role in crafting a user-friendly graphical interface, enabling biomedical researchers to analyze data seamlessly without coding expertise. With unprecedented analysis speed and reliability, BeatProfiler promises to revolutionize cardiac research by leveraging AI and machine learning to accelerate discovery and drive transformative advancements in cardiology.
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