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 gave a talk at an invited symposium in association with the Annual Conference of the Korean Society of Medical Informatics (KoSMI), held both online and offline on November 29, 2023. The title of his presentation was ‘Performance Increase of the Machine Learning Model to Predict Acute Coronary Syndrome in Patients with Type 2 Diabetes Mellitus by Replacing Binary Variables with Propesnsity Score’. This presentation was a culmination of a research project with the same title supported by the Seokcheon Foundation, 2023, where the current and former CCADD graduate students, namely David Seung U Lee, Jung-Hyun Won, and YeSol Hong collectively contributed by proposing a new novel way to address the falseness of binary feature in the electronic medical records. Prof. Lee's speech was well received by the audience evidenced by 6 follow-up questions! The more detailed methodological aspect of Prof. Lee' talk was presented in an accepted poster led by David Seung U Lee.  

CCADD members attended the Annual Conference of the Korean Society for Clinical Pharmacology and Therapeutics (KSCPT), taking place at Sono Belle, Gyeongju, from November 16th to 17th. In this conference, approximately 300 participants shared their insights and findings in the translational pharmacometrics and new drug development realms. 

Representing CCADD, graduate students Tae Kyu and Yoona have delivered oral presentations on the latest advancements in clinical pharmacology and related scientific disciplines at the Conference.

Tae Kyu's oral presentation, centered around the research entitled "Comparison of Machine Learning and Population Pharmacokinetic Models for Predicting Antiepileptic Drug Concentrations Based on Therapeutic Drug Monitoring Records," acquired substantial attention, particularly from pharmacometricians. During the presentation and subsequent discussions, he shared insights on how the application of machine learning to clinical pharmacology holds the potential to revolutionize drug development, dosage optimization, and personalized medicine. 

Yoona also presented her research topic, entitled "Country Contribution of Investigators to Pivotal Clinical Trials and THeir Primary Publications of New Drugs Approved by the US Food and Drug Administration," emphasizing the need for Korean researchers to take an active leadership role in key clinical trials to secure opportunities to contribute as authors to primary publications. The audience also agreed with her suggestions and provided constructive feedback, e.g., why it is not easy to be the author in the primary publications. After her presentation, she commented that it was a valuable opportunity to gauge the interest of clinical pharmacologists in that subject matter. 

In this conference, Tae Kyu and Yoona were bestowed with the esteemed "Best Presentation Award," marking a significant achievement and recognition for their outstanding presentation skills. Out of around 50 accepted abstracts, only the 7 presentations were deemed worthy of the best presentation title. Tae Kyu and Yoona's work was further celebrated with a cash prize of 100,000 KRW.

After all the programmed sessions were over, attendants eagerly awaited the prize draw. In a moment of drawing for the first gift, Howard emerged as the fortunate recipient. With his jaws on the floor, Howard made his way to claim his prize, a Bluetooth Sony Headphone. The annual conference held by KSCPT was a stage to celebrate the lab's commitment to excellence and an opportunity to showcase our gratitute for the fortune we have experienced.

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.

CCADD had a year-end workshop on December 21st, 2022. This year, Prof. Howard Lee and the members of CCADD were joined by PMATCH (the tech start-up led by Prof. Howard) and Dr. Hyun-Ah Lee (our respected alumnus). The workshop was also delightful because some of Prof. Howard’s part-time students and Yujin (our student intern) were there too.

The first session gave a look back on 2022. Accomplishments—academic and otherwise—were shared and celebrated. Prof. Howard cheered the members for their effort and delivered a message of hope for the coming year. The following sessions laid out some concrete plans and goals for 2023, such as attending conferences domestic and abroad and streamlining journal club and book reading programs.

In the afternoon, PMATCH took us down memory lane about all the footsteps leading up to the development of its app, Battery, and its upcoming global debut at CES^® 2023, one of the world’s biggest tech event. Yoomin Jeon, the Chief Technology Officer of PMATCH, stitched all the key moments into a single narrative, which had been so far shared with CCADD in parts.

Perhaps, one of the most anticipated sessions was Dr. Hyun-Ah Lee’s talk about her career after graduation. She traced back her memory from the time when she was studying under Prof. Howard to where she is today. She admitted her life as a PhD student trying to be on par with the rigor and the expectation of Prof. Howard was never easy but definitely worth pursuing. More importantly, she urged us to hang in there as it will all pay off one day, and her sincerity resonated with all of us.

The day’s workshop closed with a special lecture by Prof. Howard. He proposed a vision for CCADD in 2023, exhorting us to recognize the need for honing the necessary skillsets and realigning our research area. Most importantly, Prof. Howard’s closing remark that CCADD should make a bigger leap forward in 2023 taking risks and facing challenges inspired us like nothing else.

Yesol Hong won the Excellent Research Award at the 30th Annual Conference of the Korean Society for Clinical Pharmacology & Therapeutics (KSCPT), December 1-3, 2022, held at Bexco, Busan, South Korea. The title of YeSol's presentation was "One-year follow-up of patients with COVID-19: Analysis of new-onset disease after COVID-19 diagnosis using Real-World Data". She discussed the results of an analysis of the occurrence of disease in patients with COVID-19 over a year using two different real-world data sets. One of her analysis results was a nation-wide study, which was significant in that it included the largest number of study subjects among the studies analyzing the post-COVID-19-condition in Korea. Jung Hyun Won equally contributed to this study with Professor Howard Lee serving as the principal investigator.

Additionally, Siun Kim, Yoona Choi, David Seung U Lee also presented their research through poster exhibition at the conference. 

Full presentations can be watched at the following YouTube links: 

YeSol had the honor to deliver oral presentation and won the Excellent Research Award at 2022 fall conference hosted by the Korean Society of Medical Informatics(KOSMI). YeSol has presented her work entitled "Effectiveness and safety of sodium-glucose cotransporter-2 inhibitors(SGLT2i) added to mono, dual or triple treatment in patients with type 2 diabetes mellitus(T2DM)". She discussed the additive efficacy in glycemic control and the tolerability of SGLT2i in T2DM patients when combined with other antihyperglycemic agents, such as metformin, sulfonylureas, and dipeptidyl peptidase-4 inhibitors using real-world data. Yoona Choi, TaeKyu Chung, and Yoomin Jeon also contributed to this study as co-researchers, with Professor Howard Lee serving as the principle investigator.

The conference was a three-day event (from Nov 23rd, 2022 to Nov 25th, 2022) and was held at The International Convention Center, Jeonbuk National University, Jeonju, Jeonbuk, South Korea. This conference, the host(KOSMI) organized the event around the theme, "The Power and Value of Healthcare Data Linkage". The conference was full of enlightening speeches that reflected the progress made in the field of medical informatics. With a total of 1,039 participants, this conference was held on the largest scale ever among KOSMI conferences. 

In the 8th Global Bio Conference sponsored by the Korea Ministry of Food and Drug Safety on September 6, 2022, Prof. Howard Lee emphasized the unique nature of biologics in comparison with conventional small-molecule drugs, particularly in terms of their clinical safety and accessibility. "The safety of biologics should be ascertained even after they are approved for marketing since they are way different from the traditional chemistry-based drugs", Prof. Lee argued. Prof. Lee further pointed out the uniqueness of biologics by saying "We have to be well prepared not only for the utility, but for the potential safety issues in every single biologic, which is anticipated to be more frequently used in a clinical setting." Prof. Lee also addressed the reimbursement for biologics because they are typically more expensive although their efficacy can be dramatic.

More details about Prof. Lee's presentation at the GBC can be found at the following online articles: 1 and 2.