Our team published a new paper on Federated Learning!
The newly published FedDeepInsight framework represents a significant advancement in medical data analysis, particularly relevant to our burn injury research. By transforming tabular medical data into image format, we can now leverage powerful convolutional neural networks (CNNs) while maintaining strict patient privacy through federated learning principles.
Roland V. Bumbuc Presented at International Conference on Burns
Roland presented his groundbreaking work on a new burns model that uses human burns data to better understand how scars form after burns, advancing our knowledge in burn treatment and recovery.
Upcoming Thesis Fair 2025
Our team will be there just like last year to answer potential questions regarding our projects from students. We look forward to meeting you there!
SEEDBiomed presence at Microbiome Friday @ IAS - Xiaoqing Han
Xiaoqing's presentation showcased a sophisticated computational approach to understanding oral microbiome dynamics and their role in dental caries formation. Her research combines cutting-edge bioinformatics techniques with advanced mathematical modeling to provide unprecedented insights into bacterial behavior in the oral cavity. The work represents a major step forward in computational microbiology, offering new perspectives on how bacterial communities interact within the complex environment of the human mouth and contribute to dental disease progression.