Professor Howard and David attended the 84th Scientific Sessions of the American Diabetes Association (ADA). It was held from June 21 to 24 in Orlando, Florida, hosting experts in diabetes research from all over the world. The event brought together leading scientists, healthcare professionals, and stakeholders to discuss critical issues, including advancements in diabetes technology. It also showcased cutting-edge research and innovations in diabetes treatment and management, ranging from obesity and GLP-1 receptor agonists to autoantibody testing and early diabetes detection.

The event also provided a memorable venue for Prof. Howard and David, where they presented their work on “Developing Machine Learning Model for Predicting Acute Coronary Syndrome in Type 2 Diabetes Mellitus Patients through Substitution of Propensity Scores for Binary Variables”. During the poster presentation session, questions were asked and answered, ideas were exchanged, and constructive comments were offered. The event, along with the opportunity to present the work, paved the way for improving the study and provided a valuable experience to learn from world-renowned researchers.

CCADD attended the 2023 Fall Conference of the Korean Society of Medical Informatics (KoSMI) held at HIP(Healthcare Innovation Park) of Seoul National University Bundang Hospital, South Korea. The conference spanned three days from November 29th to December 1^st, both online and offline. Aligned with the theme "Beyond Data: Actionable Health AI", the conference featured 27 symposiums covering various topics, from artificial intelligence in the healthcare to standardization of medical data and digital health.

The first day was conducted online. Particularly, ”Symposium 6: Development of Predictive Models for Cardiovascular Diseases Using Medical Big Data” was noteworthy, where Prof. Howard Lee served as the session chair and speaker, attracting significant attention from the audience with the presentation on ”Improving the Performance of Machine Learning Models for Predicting Acute Coronary Syndrome in Type 2 Diabetes Patients through Substitution of Propensity Scores for Binary Variables”. Also, throughout the conference, the poster presentation was led by David Seung U Lee.

On the second day, each symposium delved into topics of medical data and artificial intelligence applications to the healthcare domain. Themes included "Strategies for the Activation and Commercialization of AI-Based Drug Development" and "Smart Curation of Medical Data: Approaches for Preparing for the Utilization of Medical AI." This encompassed insights into the industry's latest strategies for drug target exploration. In Symposium 9, Dr. Siun Kim delivered a presentation on ”Addressing the challenges of data scarcity and bias of AI-based drug development”. The discourse extensively covered specific manifestations of data scarcity and proposed strategies for mitigation within drug development.

During the final day, the symposiums provided an opportunity to approach the trends in the utilization and data processing methods of developing LLM. Participants delved into the practical approaches for utilizing Real-World Data (RWD) in regulatory decision-making, replicating Randomized Controlled Trials (RCT), and employing common data models. CCADD members exchanged ideas with fellow researchers studying similar research topics, offering a valuable opportunity to comprehend ongoing research trends. It was an insightful symposium for healthcare information researchers to share and discuss the latest trends in research.