Back to the program

Invited Paper Session

Advances in Generative AI and Machine Learning: Transforming Biomedicine

Wed, Aug 6, 2:00 PM - 3:50 PM Room CC-205C Music City Center

Huimin ChengOrganizerFatema Shafie KhorassaniOrganizerHuimin ChengChair

Section on Statistical Computing co: Section on Statistical Learning and Data Scienceco: Section on Statistics in Genomics and Genetics Applied

5 Presentations

Analyzing CITE-seq Data via a Quantum Algorithm

2:05 PM - 2:25 PM

Ping Ma (University of Georgia)

single-cell experiments quantum computing model selection Grover's algorithm quantum counting bioinformatics

CRISPR-GPT: An LLM Agent for Automated Design of Gene-Editing Experiments

2:25 PM - 2:45 PM

LLM, CRISPR-GPT, genome engineering

Double Generative Learning for Causal Inference

2:45 PM - 3:05 PM

Wenxuan Zhong (University of Georgia)

Average treatment effect; Observational study; Ignorability; Randomized controlled trials; Curse of dimensionality; Generative adversarial networks;

Matrix normal Graphical Model for inferring Gene Spatial co-expression

3:05 PM - 3:25 PM

Matrix normal Graphical Model Gene Spatial co-expression

Random Forest Clustering for Development of Clinical Phenotypes from Cohort Studies

3:25 PM - 3:45 PM

Michael LaValley (Boston University)

Unsupervised Learning Classification Trees Biomedical Data Osteoarthritis

↑