Recent advances in computational biology
|
Organizer(s): |
Name:
|
Affiliation:
|
Country:
|
Jun Shen
|
University of Wollongong
|
Australia
|
Huaming Chen
|
The University of Sydney
|
Australia
|
Chih-Cheng Hung
|
Kennesaw State University
|
USA
|
|
|
|
|
|
|
|
|
Introduction:
| | This session provides a scientific forum for mathematicians, computer scientists and relevant stakeholders to present their cutting-edge theoretical works to the field of computational biology. We invite the researchers to come together and unravel the synergies between the emerging topics of artificial intelligence and computational biology, especially for the direction of AI for bioscience and large language model. The session will encompass a broad spectrum of topics, from leveraging advanced AI techniques for biological data analysis to developing mathematical models to explain and predict biological phenomena. This multidisciplinary forum will promote the exchange of ideas, foster cross-disciplinary collaboration, and encourage the application of cutting-edge AI and mathematical theories to complex biological problems. |
|
|
|
|
|
