Welcome to MINDS!
Established in 2020, POSTECH Mathematical Institute for Data Science (MINDS) is the community of researchers in the areas of fundamental data science, machine learning, artificial intelligence, scientific computing, and humanitarian data science. MINDS mission is to provide a platform for collaboration among researchers and to provide various opportunities for students in data science. MINDS also aims to use our data science research to serve our local and global communities pursuing humanitarian data science.
News
🌟 DACON Ranker Special Lecture: Winning Strategies for AI Competitions 🌟
2023.11.30
3nd POSTECH&Peking SIAM Student Chapter Joint Conference
2023.11.01
2023 PSSC Summer Camp
2023.10.04
[POSTECH(포항공과대학교) 수리 데이터과학 연구소 연구계약직 공고]-상시모집
2023.07.25
[POSTECH(포항공과대학교) 수리 데이터과학 연구소 연구계약직 공고]
2023.07.14
[POSTECH(포항공과대학교) 수리 데이터과학 연구소 연구교수 채용 공고]
2023.06.12
Seminar | Joint seminar for probability and mathematical biology
2023.05.02
[POSTECH(포항공과대학교) 수리 데이터과학 연구소 연구계약직 공고]
2023.02.15
Upcoming Events
Schedule
MINDS SEMINAR
MINDS Seminar Series | Ha, Joon (Howard University) - Identifying the most common pathway to diabetes in Koreans with a mathematical model and a k-means clustering
MINDS SEMINAR
period : 2024-05-07 ~ 2024-05-07
time : 17:00:00 ~ 18:00:00
개최 장소 : Math Bldg 404 & Online streaming (Zoom)
Topic : Identifying the most common pathway to diabetes in Koreans with a mathematical model and a k-means clustering
개요
Date | 2024-05-07 ~ 2024-05-07 | Time | 17:00:00 ~ 18:00:00 |
Speaker | Ha, Joon | Affiliation | Howard University |
Place | Math Bldg 404 & Online streaming (Zoom) | Streaming link | ID : 688 896 1076 / PW : 54321 |
Topic | Identifying the most common pathway to diabetes in Koreans with a mathematical model and a k-means clustering | ||
Contents | The most common form of diabetes, type 2 diabetes (T2D) is a failure of insulin-secreting pancreatic beta-cells to increase insulin to the level required to maintain normal blood glucose. Thus, identifying beta-cell function (BCF) and insulin sensitivity (SI) in those who are at high risk is crucial to preventing and delaying the disease. An oral glucose tolerance test (OGTT) is routinely used under clinical settings. Conventional metabolic parameters during OGTTs have been utilized in research fields and patient care. However, the parameters are calculated with algebraic formulae rather than the whole data profiles. Thus, we have developed a mathematical model and an algorithm to fie the model to OGTTs to estimate the metabolic parameters (Ha et al. AJP 2024, Ha and Sherman AJP 2020, Ha et al. Endocrinology 2016). Recently, we have extensively worked on clinical applications of the model-derived parameters to identify the most common pathways to T2D in Koreans. Specifically, we fitted a 10-year longitudinal data set of Korean Genome and Epidemiology Study (KoGES) (N=2683, age=50.5±7.7 years; BMI, 24.9±3.0 kg/m2, non-diabetes at baseline) to estimate mathematical model-derived insulin sensitivity and beta-cell function indices were used as metabolic surrogates. Then, a k-means clustering algorithm was applied to the indices to classify six metabolically distinct non-diabetes subgroups. The most common pathway in Korean is low beta-cell function at baseline and worsening insulin sensitivity over the course of the disease progression. Thus, we conclude that Koreans have limited ability to increase insulin secretion, so they are at risk for T2D with even a small drop in insulin sensitivity. |
MinDS
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2024-04-29 08:22 ·
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POSTECH SIAM Student Chapter
🌟 DACON Ranker Special Lecture: Winning Strategies for AI Competitions 🌟
2023 POSTECH & Peking SIAM Student Chapter Joint Conference
2023 PSSC Summer Camp
2022 PSSC Summer Camp
2022 POSTECH & Peking SIAM Student Chapter Joint Conference
MINDS-MoNET-ISE Workshop
Information, Network & Topological Data Analysis
2021 POSTECH MINDS WORKSHOP
Recent Progress in Data Science and Applications
- Nov. 19(Fri) ~ Nov. 20(Sat) 2021 (1 Night 2 Days)
- Workshop homepage
Fall 2021 Seminar Series
MINDS Seminar Series on Data Science, Machine Learning, and Scientific Computing
Every Tuesdays 05:00 PM
ILJU POSTECH MINDS Workshop on TDA and ML
July 6 ~ July 9
Registration is required (please register here)