AI-BioHealth 2022

Recent advanced techniques of artificial intelligence have been popularly applied for analyzing huge volumes of various data in healthcare and biomedical research. We launch an international workshop in IEEE BigComp to create opportunities to discuss the state-of-the-art studies on AI in Biomedicine and Healthcare and to provide opportunities for academic networking to researchers in this field. Topics of interest include:

• Machine learning for healthcare

• Data mining and big data analysis in biomedicine

• Intelligent computational medical imaging

• Artificial intelligence for precision medicine and drug discovery

• Machine learning in bioinformatics

• Data driven digital healthcare

• Biomedical text mining

• Data mining in quantitative biology and multi-omics

Program Schedule

Session 1

Chair: Giltae Song

13:30 – 14:00 (Invited talk) Toward fusion of ICT and healthcare

Presenter: Dongchul Cha (Naver Corp)

14:00 – 14:20 Multi-Scale Curriculum Learning For Efficient Automatic Whole Slide Image Segmentation

Dong Un Kang and Se Young Chun (Seoul National University)

14:20 – 14:40 Differentiating Parkinsonian Syndromes using Distinctive Brain Iron Accumulation Patterns in SWI

Yun Soo Kim, Jea Hyeok Lee, and Jin Kyu Gahm (Pusan National University)

14:40 – 15:00 Brain Volume Prediction from SNP network with Semi-Supervised Regression

Dong-gi Lee, Hyun Woong Roh, Myungjun Kim, Na-Rae Kim, Sang Joon Son, Chang Hyung Hong, and Hyunjung Shin (Ajou University)

15:00 – 15:20 Transformer-based embedding applied to classify bacterial species using sequencing reads

Ho-Jin Gwak and Mina Rho (Hanyang University)

Break (20 min)

Session 2

Chair: Mina Rho

15:40 – 16:00 Improved Binding Affinity Prediction Using Non-Covalent Interactions and Graph Integration

Junseok Choe, Keonwoo Kim, Minjae Ju, Sumin Lee, and Jaewoo Kang (Korea University)

16:00 – 16:30 (Invited talk) Large-scale Deep Learning for Electronic Health Record

Presenter: Edward Yoonjae Choi (KAIST)

16:30 – 16:50 Embedding of FDA Approved Drugs in Chemical Space Using Cascade Autoencoder with Metric Learning

Jungwoo Kim, Sangsoo Lim, Sangseon Lee, Changyun Cho, and Sun Kim (Seoul National University)

16:50 – 17:10 A denoised embedding space of genetic perturbation using Deep Metric Learning

Minjae Ju, Sanghoon Lee and Jaewoo Kang (Korea University)

17:10 – 17:30 Aptamer-protein interaction prediction using Transformer

Incheol Shin and Giltae Song (Pusan National University)

Paper Submission

All papers must be original and not simultaneously submitted to another journal or conference. Prospective authors are invited to submit their papers, 2-3 pages, in English according to the IEEE two-column format for conference proceedings. The author list may appear in the paper, but can be omitted if the authors want to. All submissions will be peer-reviewed by the Program Committee of the workshop. All accepted workshop papers will be published in the IEEE Xplore Digital Library as conference proceedings.

Direct link for paper submission: https://easychair.org/my/conference?conf=aibiohealth2022

Paper templates: https://sigai.or.kr/workshop/bigcomp/2022/iwds/templates/IEEE_MSWord_Template.doc

Key Dates

Submission for workshop papers: November 19, 2021 November 30, 2021

Notification of Paper Acceptance: December 3, 2021 December 10, 2021

Author Registration: December 19, 2021

Workshop: January 17, 2021 (tentative)

Organizing Committee

Sun Kim (Seoul National University, South Korea)

Giltae Song (Pusan National University, South Korea)

Program Committee

Dongchul Cha (Naver Healthcare Lab, South Korea)

Edward Yoonjae Choi (KAIST, South Korea)

Se Young Chun (Seoul National University, South Korea)

Jin Gyu Gahm (Pusan National University, South Korea)

Jaewoo Kang (Korea University, South Korea)

Dongil Kim (Chungnam National University, South Korea)

Jaebum Kim (Konkuk University, South Korea)

Sun Kim (Seoul National University, South Korea)

Yi Pan (Georgia State University)

Mina Rho (Hanyang University, South Korea)

Hyunjung Shin (Ajou University, South Korea)

Giltae Song (Pusan National University, South Korea)

May Wang (Georgia Tech, USA)

Byung-Jun Yoon (Texas A&M University)

Sungroh Yoon (Seoul National University, South Korea)