Yura Choi is currently an undergraduate researcher at CCADD after successfully completing the 2024 Winter Internship Program. She is majoring in Chemistry at Kyung Hee University. During her internship, she participated in developing a deep learning-based Drug-Drug Interaction (DDI) prediction model, utilizing protein information to enhance model performance. Through this project, she gained hands-on experience in data processing, programming, and predictive modeling. She continues to explore various approaches to DDI prediction modeling and has a growing interest in ADMET prediction and PK/PD modeling. She aims to apply AI-powered data analysis to contribute to novel drug development strategies and innovations. 

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.

Prof. Howard Lee gave a talk at the 17th JSCPT-KSCPT Joint Symposium, Kobe, Japan, on December 15, 2023. In his presentation entitled 'Real-World Data Analysis as a Clinical Pharmacologist: Experience and Some Thoughts', Prof. Lee. introduce the audience to the RWD research works CCADD has performed for the past 3 or so years, all of which have been published in reputable journals or under review shown below. Prof. Lee stressed, "With RWD landscape fast growing, clinical pharmacologists should leverage the potentials of RWD/RWE in drug development by furthering its scientific innovation!" 

Prof. Lee's speech was well received by the audience followed by a welcome reception by JSCPT colleagues, whom he and other delegates have not seen in person for the past three years because of the COVID-19 pandemic. The night was full of talking, drinking, and singing! Both teams promised to meet again next year in Jeju, Korea, for the Spring Conference of 2024 KSCPT. 

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.

Prof. Howard Lee emphasized the willingness to pay for innovation from the whole societal perspective for South Korea. In a forum organized by Hankyung TV to commemorate the 2023 Korean Biopharmaceutical Award, Prof. Lee discussed what South Korea has to equip itself with to become one of the countries that can not only develop, but market innovative new drugs on a global scale. He listed the following conditions: nationwide control center, training and education, megafunds, advanced drug regulatory science, and willingness to pay for innovation as a society. The following YouTube clip captures the 5th condition.

CCADD was honored to participate in the joint symposium organized by Seoul National University (SNU) and Kyushu University (KYU) on September 14th. This marks the fourth year of the annual symposium, which was established to foster research collaboration between SNU and KYU.

This year's symposium focused on the theme of “Navigating the Artificial Intelligence (AI) Frontier: A Collaboration.” The discussions were categorized under three sub-themes:

AI for a Sustainable Future: Advancements and Challenges

AI and Human-Centric Innovation: Shaping the Future Together

AI Ethics and Responsible Innovation: Shaping a Trustworthy Future

Under the second sub-theme, David Seung U Lee represented CCADD and presented on “Predicting the efficacy of investigational drugs using real-world data.” This sparked subsequent discussions exploring avenues for further collaboration among the participants.

CCADD attended this year's highly anticipated biennial conference hosted by the Korean Society of Medical Informatics (KOSMI). Held at Keimyung University Dongsan Hospital in Daegu, South Korea, the conference spanned two insightful days, supplemented by a three-hour tutorial program.

Under the theme of "Revolution and Innovation in Smart Healthcare," the event delved into an array of captivating topics. Attendees had the privilege of exploring groundbreaking subjects, including the "Application of Large Language Models in Healthcare" and the "Utilization of ChatGPT and Natural Language Processing Models in Medical Research."

Throughout the conference, CCADD seized every moment to absorb valuable lessons. The gathering also served as a catalyst for expanding perspectives and engaging in constructive discussions at this pivotal juncture in the realm of medicine and healthcare. With powerful technologies like ChatGPT emerging, the field is undoubtedly experiencing a wind of change, and KOSMI's conference provided a unique platform to address the challenges and opportunities presented by these advancements.

 In a gathering of brilliant minds from around the world, Professor Howard and his team attended Conference on Health, Inference, and Learning (CHIL) 2023. The three-day event, held from June 22nd to 24th in Cambridge, Massachusetts, provided a platform for cutting-edge research and discussions on the intersection of artificial intelligence (AI) and healthcare.

Prof. Howard, along with his students Jung Hyun and David, as well as his former student, Siun, were among the select few from South Korea to be invited to this renowned conference. Their attendance was further bolstered by the acceptance of their research paper, titled "Revisiting Machine-Learning Based Drug Repurposing: Drug Indications Are Not a Right Prediction Target," which they presented during the first day's poster session. The team explained the significance and implications of their study, actively engaging with fellow participants and answering questions. More information about the paper can be found here.

The conference encompassed an extensive array of topics, all of which were essential for researchers navigating the rapidly evolving field of AI in healthcare. Attendees were treated to enlightening talks and exciting ideas that spanned innovation, equity, and generalizability in machine learning for health. Discussions included "innovation in machine learning for health," "sharing health data in an age of generative AI: risks, limitations and solutions," "equity implications of machine learning in health: how technology could help or hurt," and "generalizability in machine learning for health: critical for robustness or a distraction from specific validation."

Every moment of the conference proved to be an eye-opening experience. It served as an extraordinary opportunity to broaden their perspectives, push boundaries, and venture beyond their comfort zones.

The 2023 Winter Internship at CCADD has begun. For this year’s internship, CCADD has Jaeho Hyun, who will study and experience the on-going research projects at CCADD.

Jaeho Hyun is a senior in biomedical engineering at Korea University. He studied mechanical system design engineering at Hongik University until the second year in college before he transferred to Korea University starting his junior year. His motivation for transfer was his interest in finding engineering solutions to solve problems in the medical field. Prior to this internship, he studied artificial intelligence (AI) technology in Seoul Information and communication technology (ICT) innovation square in the summer 2022. The program deepened his interest in applying technical knowledge to addressing real world problems pertaining to healthcare and medicine. During the internship at CCADD, he intends to expand his knowledge and explore various applications of real-world data analysis and AI technology in drug development sciences.