This lunchtime lecture series blends innovation, expertise, and a relaxed atmosphere, offering an exploration of the latest applications and future advancements of artificial intelligence in digital medicine. While enjoying a delicious lunch, participants will gain cutting-edge insights into AI in medicine and engage in in-depth discussions with experts.
Speakers:
- Ping-Hsun Wu (Associate Professor, Division of Nephrology, Kaohsiung Medical University Chung-Ho Memorial Hospital)
Proteomics is an important and emerging research field that can reflect biological or physiological conditions and disease states in the human body in real time, leaving marks similar to biological fingerprints. In addition to mass spectrometry–based detection of proteomics, many high-throughput proteomics platforms have been developed. These platforms have been widely applied to many clinical databases, among which the most well-known is the UK Biobank. Many proteomic biomarkers have been discovered that can be used to predict disease occurrence and evaluate prognosis. Many proteins have also been found to have not only biomarker value but also pathophysiological significance. Through large-scale clinical studies analyzing proteomics, many new pathogenic mechanisms can be explored.
In addition, many studies are currently investigating research topics related to circadian rhythms and protein organ clocks. Of course, many of these large-scale analyses apply machine learning models (such as LASSO regression analysis, Elastic Net regression analysis, random forest, and deep learning). By combining machine learning models and even artificial intelligence analysis strategies with genetic data and Mendelian randomization analysis, potential targets for drug development in diseases can be identified, and these topics will also be discussed in this lecture.
Integrating the analysis of multi-omics biological data will inevitably become an important research trend in the future. This will enable a deeper understanding of human health and disease conditions. Proteomics is regarded as an important component of multi-omics research. Through this lecture, we can further understand the new developments of proteomics in clinical medical research.
We welcome all colleagues interested in AI and medical innovation to sign up and explore the limitless possibilities of smart medicine together!
【Lecture Information】
- Topic: The development of clinical AI cycle-from signal discovery to pragmatic trials and real-world deployment
- Date & Time: April 07, 2026 (Tue.) | 12:10-13:20
- Venue: Room IR630, 6th Floor, International Academic Research Building, Kaohsiung Medical University
- Registration Deadline: Until April 01, 2026 (Wed.) at 12:00 | Online registration required
- Registration Link: https://forms.gle/M8FFCehkJwkzmLS98
- Participation Mode: Hybrid (In-person: 60 participants; Online: Unlimited)
- Organizers: Biomedical Artificial Intelligence Academy of KMU, Department of Artificial Intelligence in Medicine of KMU, Medical AI Innovation and Application Center of KMUH
- Additional Info: Lunch will be provided for in-person attendees.
※ This lecture is eligible for KMU faculty growth credits. Participants must complete both sign-in/out and the satisfaction survey to receive credit points.
We look forward to your participation!
