« Meet the Pioneers
Karolis Šablauskas
33 · Vilnius, Lithuania

Karolis was part of the Lithuanian team that won the grand prize at the International Genetically Engineered Machine (iGEM) in 2017. He’s also a doctor and self-taught machine learning engineer.

Ligence: Automated heart ultrasound analysis with artificial intelligence
https://www.ligence.io
Karolis is creating Ligence, software that will analyze echocardiograms (heart ultrasounds) more efficiently. Currently, cardiologists spend a substantial amount of time measuring parameters for echocardiograms. The idea is to use machine learning to predict those values and vastly speed up the process. His goal is to integrate Ligence into hospitals’ information systems or the ultrasound machines themselves.
Demo Livestream Presentation