AI for Biomaterials and Drug Design

AI Biomaterials and Drug Design

Call for Abstract - due September 13 »

Symposium Co-Chairs

Sarah Tao
Technology Lead
Sanofi

Payel Das
Principal Research Staff Member
IBM Thomas J Watson Research Center

Key Speakers

From atoms to emergent mechanisms with information bottleneck and diffusion probabilistic models
Pratyush Tiwary
Assistant Professor, University of Maryland

Deep Learning for Linking Chemical and Biological Space in Small Molecules and Macromolecules
Amarda Shehu
Professor, George Mason University

Advances in computational power coupled with big data analysis and innovations in machine learning, modeling and simulation approaches are enabling artificial intelligence to revolutionize the biomaterials and drug discovery and development process.

Submit your abstract and join researchers from around the world as we highlight the latest developments in this area.

Back to Top ↑ 2021 Symposium Sessions
	Tuesday October 19
1:30	AI for Biomedical Applications
	Wednesday October 20
8:30	AI Track Keynote

2021 Symposium Program
	Tuesday October 19

1:30	AI for Biomedical Applications	Baltimore 4
	Session chair: Armada Shehu, George Mason University & Sarah Tao, Sanofi
1:30	Machine Learning for Automated Hepatic Fat Quantification, pp. 105-108 H. Sagreiya, A. Akhbardeh, I. Durot, D.L. Rubin, University of Pennsylvania, US
1:55	Point-of-care serodiagnostic test using a multiplexed paper-based immunoassay and machine learning Z.S. Ballard, H-A Joung, A. Goncharov, J. Liang, K. Nugroho, J. Wu, D.K. Tseng, H. Teshome, L. Zhang, E.J. Horn, P.M. Arnaboldi, R.J. Dattwyler, O.B. Garner, D. Di Carlo, University of California, Los Angeles, US
2:15	Kidney Cancer Staging using Deep Learning Neural Network: Comparing Models Trained on Whole Kidney with Cancer and Only the Cancer, pp. 161-164 N. Hadjiyski, Ann Arbor Pioneer High School, US
2:35	Robust and Trustworthy AI for Brain Tumor Surveillance G. Rasool, Rowan University, US
2:55	Preventing Elderly Falling Through Machine Learning, pp. 111-113 P. Hardigan, Nova Southeastern University, US
	Wednesday October 20

8:30	AI Track Keynote	Woodrow Wilson D
	Session chair: Richard Ross, 3M Company & Peter Koenig, Procter & Gamble
8:30	Closed-loop autonomous combinatorial experimentation for streamlined materials discovery I. Takeuchi, University of Maryland, US
9:00	From atoms to emergent mechanisms with information bottleneck and diffusion probabilistic models P. Tiwary, University of Maryland, US
9:30	Deep Learning for Linking Chemical and Biological Space in Small Molecules and Macromolecules A. Shehu, George Mason University, US