AMS Sectional Meeting AMS Special Session
Current as of Sunday, April 14, 2024 03:30:04
2024 Spring Eastern Sectional Meeting
- Howard University, Washington, DC
- April 6-7, 2024 (Saturday - Sunday)
- Meeting #1194
Associate Secretary for the AMS Scientific Program:
Steven H Weintraub, Lehigh University shw2@lehigh.edu
Special Session on Computational and Machine Learning Methods for Modeling Biological Systems
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Saturday April 6, 2024, 8:00 a.m.-11:00 a.m.
Special Session on Computational and Machine Learning Methods for Modeling Biological Systems, I
LKD 2114, Lewis Downing Building
Organizers:
Christopher Kim, National Institutes of Health chrismkkim@gmail.com
Vipul Periwal, National Institutes of Health
Manu Aggarwal, National Institutes of Health
Xiaoyu Duan, National Institutes of Health
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8:00 a.m.
Physiological Modeling and Parameter Inference with Deep Learning: A Lipolysis Example
Xiaoyu Duan*, National Institutes of Health
Vipul Periwal, National Institutes of Health
(1194-92-35276) -
8:30 a.m.
Neural dynamics of reversal learning in the prefrontal cortex
Christopher Kim*, National Institutes of Health
(1194-92-35202) -
9:00 a.m.
Evolutionary Decision Trees in Sepsis Point-of-Care Device Development
Joost Brandsma, Austere environments Consortium for Enhanced Sepsis Outcomes (ACESO), The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, Maryland, USA.
Josh Chenoweth, Austere environments Consortium for Enhanced Sepsis Outcomes (ACESO), The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc.
Elizabeth Chiyka, Austere environments Consortium for Enhanced Sepsis Outcomes (ACESO), The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, Maryland, USA.
Danielle V Clark, Austere environments Consortium for Enhanced Sepsis Outcomes (ACESO), The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc.
Subramaniam Krishnan, Austere environments Consortium for Enhanced Sepsis Outcomes (ACESO), The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, Maryland, USA.
Kevin L Schully, Austere environments Consortium for Enhanced Sepsis Outcomes (ACESO), Biological Defense Research Directorate, Naval Medical Research Command-Frederick, Ft. Detrick, Maryland, USA.
Deborah Anne Striegel*, Austere environments Consortium for Enhanced Sepsis Outcomes (ACESO), The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc.
(1194-92-35522) -
9:30 a.m.
Inferring clinically relevant cancer cell states through nucleus morphology
Pierre-Antoine Absil, University of Louvain
Vishaka Gopalan*, National Cancer Institute
Sridhar Hannenhalli, National Cancer Institute
Shashwat Kumar, University of Virginia
(1194-92-35079) -
10:00 a.m.
Loss of CDK4/6 signaling in S/G2 phase leads to cell cycle reversal
Marwa Afifi, National Cancer Institute, National Institutes of Health
Ruhul Amin, National Cancer Institute, National Institutes of Health
Steven Cappell, National Cancer Institute, National Institutes of Health
James Cornwell*, National Cancer Institute, National Institutes of Health
Adrijana Crncec, National Cancer Institute, National Institutes of Health
Kristina Tang, National Cancer Institute, National Institutes of Health
(1194-92-35512) -
10:30 a.m.
Network computations underlying learning from symbolic reinforcers in macaques
Bruno Averbeck, National Institute of Mental Health
Ramon Bartolo, National Eye Institute
Hua Tang*, National Institute of Mental Health
(1194-92-35306)
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8:00 a.m.
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Saturday April 6, 2024, 3:00 p.m.-5:00 p.m.
Special Session on Computational and Machine Learning Methods for Modeling Biological Systems, II
LKD 2114, Lewis Downing Building
Organizers:
Christopher Kim, National Institutes of Health chrismkkim@gmail.com
Vipul Periwal, National Institutes of Health
Manu Aggarwal, National Institutes of Health
Xiaoyu Duan, National Institutes of Health
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3:00 p.m.
Interpretable Meta-Factorization: Uncovering Transdiagnostic Symptom Dimensions in Psychopathology
Ka Chun Lam*, NIH/NIMH
(1194-15-35427) -
3:30 p.m.
Attractor dynamics underlying value-based decision-making in macaque prefrontal cortex
Bruno Averbeck, National Institute of Mental Health
Siyu Wang*, NIMH
(1194-92-35223) -
4:00 p.m.
Modeling Mechanisms of Il12b Gene Regulation by NF-B Dimers in Macrophages
Mohammad Aqdas, National Institute on Aging, National Institutes of Health
Yeuran Oh*, National Institute on Aging, National Institutes of Health
Shah Md Toufiqur Rahman, National Institute on Aging, National Institutes of Health
Myong-Hee Sung, National Institute on Aging, National Institutes of Health
(1194-92-35210) -
4:30 p.m.
Unraveling longitudinal gene expression patterns in sepsis using machine learning and mathematical modeling
Danett K Bishop, Naval Medical Research Command
Josh Chenoweth, Austere environments Consortium for Enhanced Sepsis Outcomes (ACESO), The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc.
Danielle V Clark, Austere environments Consortium for Enhanced Sepsis Outcomes (ACESO), The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc.
Carlo Colantuoni, Department of Neurology, Johns Hopkins School of Medicine
Mehran Fazli*, Austere environments Consortium for Enhanced Sepsis Outcomes (ACESO), The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc.
Deborah Anne Striegel, Austere environments Consortium for Enhanced Sepsis Outcomes (ACESO), The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc.
(1194-92-34672)
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3:00 p.m.
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Sunday April 7, 2024, 8:00 a.m.-11:00 a.m.
Special Session on Computational and Machine Learning Methods for Modeling Biological Systems, III
LKD 2114, Lewis Downing Building
Organizers:
Christopher Kim, National Institutes of Health chrismkkim@gmail.com
Vipul Periwal, National Institutes of Health
Manu Aggarwal, National Institutes of Health
Xiaoyu Duan, National Institutes of Health
-
8:00 a.m.
Functional significance of topological features from large-scale biological networks
Manu Aggarwal*, National Institutes of Health
Vipul Periwal, National Institutes of Health
(1194-92-35129) -
8:30 a.m.
The effects of CD4+ T cell reduction on the human skin microbiome
Jungmin Han*, NIAMS, NIH
Heidi H Kong, NIAMS, NIH
Andrea Lisco, NIAID, NIH
Julia A Segre, NHGRI, NIH
Irini Sereti, NIAID, NIH
(1194-92-35530) -
9:00 a.m.
Transition Network Model for Exploring Tumor-Normal Cross-Talk in Cancer
Bayarbaatar Amgalan*, NCBI/NIH
Chi-Ping Day, Associate Scientist, NCI/NIH
Teresa Przytycka, Senior Investigator, NCBI/NIH
(1194-92-35104) -
9:30 a.m.
Understanding Liver Regeneration Dynamics: Insights from Mathematical Modeling
Suvankar Halder*, National Institutes of Health
Vipul Periwal, National Institutes of Health
(1194-92-35342) -
10:00 a.m.
Reverse-engineering the neural computation underlying population dynamics
Yuan Zhao*, National Institute of Mental Health
(1194-92-34736) -
10:30 a.m.
Selective filtering of sequences of input by the recurrent network of the cerebral cortex
Ciana E Deveau, NIH/NIMH
Mark H Histed*, NIH / NIMH
Zhishang Zhou, NIH/NIMH
(1194-92-35535)
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8:00 a.m.
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Sunday April 7, 2024, 2:00 p.m.-5:30 p.m.
Special Session on Computational and Machine Learning Methods for Modeling Biological Systems, IV
LKD 2114, Lewis Downing Building
Organizers:
Christopher Kim, National Institutes of Health chrismkkim@gmail.com
Vipul Periwal, National Institutes of Health
Manu Aggarwal, National Institutes of Health
Xiaoyu Duan, National Institutes of Health
-
2:00 p.m.
States as goal-directed concepts: an epistemic approach to state-representation learning
Nadav Amir*, Princeton University & NIMH
Angela Langdon, NIMH
Yael Niv, Princeton University
(1194-92-34939) -
2:30 p.m.
Recurrent connections drive sequence-dependent response dynamics in cortical circuits
Nicolas Brunel, Duke University School of Medicine
Ciana E Deveau, NIH/NIMH
Mark H Histed, NIH / NIMH
Jonathan F O'Rawe, NIH/NIMH
Remy A Yovanno*, NIH/NIMH
Zhishang Zhou, NIH/NIMH
(1194-92-35561) -
3:00 p.m.
Single-particle stochastic spatially resolved modeling of reaction-diffusion processes at cell-cell contacts
Martin Meier-Schellersheim, Computational Systems Biology Section, Laboratory of Immune System Biology (LISB), National Institute of Allergy and Infectious Diseases, National Institutes of Health
Thorsten Prüstel*, Computational Systems Biology Section, Laboratory of Immune System Biology (LISB), National Institute of Allergy and Infectious Diseases, National Institutes of Health
(1194-92-35471) -
3:30 p.m.
AlphaFold2 has more to learn about protein energy landscapes
Devlina Chakravarty*, National Center for Biotechnology Information
Ethan A Chen, National Library of Medicine
Lauren L Porter, Biochemistry and Biophysics Center, National Heart, Lung, and Blood Institute
Joseph W Schafer, National Library of Medicine
Joseph R Thole, National Center for Biotechnology Information
(1194-92-35327) -
4:00 p.m.
Evolutionary selection of proteins with two folds
Lauren L. Porter, NIH - NLM
Joseph W. Schafer*, NIH - NLM
(1194-92-35307) -
4:30 p.m.
Recurrent spiking network with nonspecific connectivity for modeling mice posterior parietal cortex neural data during decision-making task.
Sarah Kebaish*, NIDDK
(1194-92-35468) -
5:00 p.m.
Encoding molecular interactions for deterministic and stochastic spatially resolved modeling of cellular signaling pathways
Martin Meier-Schellersheim*, Computational Systems Biology Section, Laboratory of Immune System Biology (LISB), National Institute of Allergy and Infectious Diseases, National Institutes of Health
Thorsten Prustel, LISB, NIAID, NIH
Fengkai Zhang, LISB, NIAID, NIH
(1194-92-35544)
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2:00 p.m.
Inquiries: meet@ams.org