Foundation Models for
Bioinformatics and Biomedicine
Dec 5-8, 2024
Foundation models like large language models and vision-language models have been pivotal in the transformation of artificial intelligence. Trained on vast datasets, these models exhibit extraordinary abilities in understanding and generating natural language and analyzing visual content. Their success across general domains has fueled exploration into specialized applications within bioinformatics and biomedicine—fields deeply entrenched in complex data.
Bioinformatics and biomedicine leverage computational power to decipher intricate biological and medical data. Integrating foundation models into these areas promises substantial advancements in research and healthcare outcomes. Applications range from biomedical image analysis and drug discovery to protein design and personalized medicine, exploiting the abundance of data to foster novel discoveries and enhance decision-making processes.
This workshop is dedicated to unveiling the potential of foundation models within bioinformatics and biomedicine. We aim to bring together a diverse group of researchers and industry experts to foster collaboration, share cutting-edge solutions, and discuss both the opportunities and challenges of applying foundation models in critical biomedical sectors. Join us as we delve into the transformative capabilities of these models in driving forward the future of medicine and healthcare technology.
The work is held in conjuction with IEEE International Conference on Bioinformatics and Biomedicine (BIBM, CCF rank B). Accepted paper will be including in the BIBM proceedings.
The workshop will be conducted in a fully virtual format. The organizers will arrange Zoom as the virtual meeting platform to facilitate seamless interaction, presentations, and discussions among the participants.
| Date | Event |
|---|---|
| Jun 1, 2024 | Workshop website open and send out call for papers |
| Aug 1, 2024 | Submission open |
Nov 2, 2024 (No more extension) |
Due date for full workshop papers submission |
| Notification of paper acceptance to authors | |
| Nov 14, 2024 | Camera-ready of accepted papers |
| 11.30am - 12.30pm Standard China Time, Dec 4, 2024 (10.30pm - 11.30pm EST, Dec 3, 2024) |
Workshops (Online: Zoom) |
Sorting by Strip Swaps Using Cycle Graphs
Authors: Asai Asaithambi, Harsh Bhakharia, Swapnoneel Roy
LLM-based Multi-Agent Framework for Protein Engineering
Authors: Zan Chen, Yungeng Liu, Yu Guang Wang, Yiqing Shen
Neural Oscillation-dependent EEG Microstates
Authors: Kunbo Cui, Mingqi Zhao, Zhongqing Wu, et al.
Enhanced Multiple Correction Method with Limited Independent Effective SNPs
Authors: Xin Lai, Xiaohai Yang, Jiayin Wang, et al.
RMComBat: Batch Effect Correction Algorithm
Authors: Yuqian Liu, Zhaoxing Wei, Jiayin Wang, et al.
TourSynbio-Search: LLM Driven Agent Framework
Authors: Yungeng Liu, Zan Chen, Yuguang Wang, Yiqing Shen
Correction of Read Biases Using GMM
Authors: Xuwen Wang, Zhili Chang, Shenjie Wang, et al.
FalconProtein: Finetuning Falcon for Protein Engineering
Authors: Wenjun Yang, Yiqing Shen, Zehong Wang, et al.
DED-SAM: Data-Efficient Distillation for Medical SAM
Authors: Jingkun Yue, Siqi Zhang, Huihuan Xu, et al.
PAIR: protein-aptamer interaction prediction
Authors: Jun Zhang, Zhiqiang Yan, Hao Zeng, Zexuan Zhu
