BCE Program Shares Applications of AI and Coding to Improve Healthcare Solutions

biocomputational engineering

Solutions for today’s most pressing public health challenges lie at the interface of biology and computer science. Biocomputational engineering combines coding and advanced algorithms to improve global medicine and healthcare. This emerging field uses programming languages like Python, Matlab, C++, and tools such as FLOGO and medical imaging diagnostics to tackle complex problems in medicine. Through the integration of artificial intelligence and machine learning, the Fischell Department of Bioengineering's Biocomputational Engineering Program (BCE) is developing new solutions that can enhance diagnostics and treatment methods. Ariana Parra, a BCE graduate assistant, along with recent alumni Leonardo Buitrago and Severin Vihossi-Mahuto, provide an inside look into how these technologies are applied. They share how life sciences play a crucial role in the field and discuss the impact of their work on improving health outcomes worldwide.