Artificial intelligence (AI) is profoundly impacting the development and paradigm shifts in research on life sciences, providing new methods for life process exploration.

The essence of life processes is manifested in bio macromolecular languages. The composition, structure, expression, localization, activity and dynamic interactions of biomacromolecules determine the physiological and pathological processes of cells, tissues, organs, individuals and populations, highlighting the importance of molecular languages. Traditional computational and experimental techniques struggle to elucidate dynamic and complex molecular languages, whereas AI technologies offer a solution.

This session, focusing on AI analysis and applications of molecular languages in life processes, discusses AI for biology and shares the latest research advancements.

Chairs

Zhang Chenyu

Professor, Nanjing University

Chen Luonan

Researcher, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences (CAS)

Invited speakers & reports

Chen Luonan

Researcher, Shanghai Institutes for Biological Sciences, CAS

Report: AI-based dynamic inference of omics data

Shang Xuequn

Professor, Northwestern Polytechnical University

Report: Identification of novel tumor antigens

Gao Ge

Researcher, Peking University (PKU)

Report: Rational AI model design-based computational decoding of cellular regulatory maps

Ye Kai

Professor, Xi'an Jiaotong University

Report: Sequence-image transform-based genome sequence analysis

Zhao Xingming

Professor, Fudan University

Report: Data-driven exploration of brain diseases

Li Tingting

Researcher, School of Basic Medical Sciences, PKU

Report: Intelligent analysis and applications of biomolecular phase separation