기초과학연구원 의생명수학그룹
On Oct 20, 2023, Tetsuya J. Kobayashi from the University of Tokyo gave an online talk at the IBS Biomedical Mathematics Colloquium. The title of his talk was “Optimality of Biological Information Processing.”
On October 20th, 2023, Hyeontae Jo gave a talk on “AutoScore: A Machine Learning–Based Automatic Clinical Score Generator and Its Application to Mortality Prediction Using Electronic Health Records”
From Oct 8th to 12th, members of BIMAG had the privilege of the ICSB 2023 held at the Connecticut Convention Center in Hartford, USA. Throughout the conference, each member delivered exceptional presentations, engaging with outstanding researchers in the Systems Biology field.
10월 8일부터 12일까지 BIMAG 멤버들이 미국 하트포드 코네티컷 컨벤션 센터에서 열린 ICSB 2023 행사에 참석했습니다. 참석한 모든 멤버들이 진행중인 연구에 대해 발표를 진행하고, 뛰어난 Systems Biology 분야의 연구자들과 교류하는 시간을 가졌습니다.
We are thrilled to announce the upcoming launch of our cutting-edge mobile application, SleepWake, tailored to optimize sleep patterns, along with our groundbreaking AI algorithm designed to detect sleep disorders. This noteworthy achievement has attracted the attention of JTBC News, a prestigious news outlet in Korea, which has showcased our AI algorithm and the SleepWake application.
On October 6th, 2023, Olive Cawiding gave a talk on “Power spectral estimate for discrete data”
On September 22, 2023, Yun Min Song gave a talk on “A data-driven approach for timescale decomposition of biochemical reaction networks”
On September 19th, 2023, Balazs Erdos from Maastricht University gave a talk at the IBS Biomedical Mathematics Seminar. The title of his talk was “Quantifying the dynamics of postmeal metabolism: Inference from challenge test data.”
On Sep 20, 2023, Sebastian Walcher from Mathematik A, RWTH Aachen gave an online talk at the IBS Biomedical Mathematics Colloquium. The title of his talk was “eaction networks: Reduction of dimension and critical parameters.”
He shared the talk slides. You can download the slides here.
We are delighted to announce that our groundbreaking AI algorithm, meticulously designed to forecast the risk of sleep disorders, has received the esteemed Innovation Award from MEDITEK. This accolade not only highlights BIMAG’s exceptional contributions to the healthcare realm but also underscores the algorithm’s potential to usher in a transformative era in our approach to addressing sleep disorders.
The algorithm is the fruit of extensive research conducted by Ha et al., with their paper titled “A Machine Learning-Based Simple Questionnaire for Predicting the Risk of Sleep Disorders” currently pending publication.