SOComputing Published 2020-10-06 17:33:16
The FDA Scientific Computing Board (SCB) in partnership with the Center for Drug Evaluation and Research (CDER) and the National Center for Toxicological Research (NCTR) is hosting the upcoming 8th Annual Scientific Computing Days (SCD) event on September 29 – 30, 2020, 9:00AM – 4:45PM.
This year’s Scientific Computing Days theme is Lowering Barriers to Data and Lifting the Weight of Real-World Evidence. The rapid progress in scientific computing which enable scientists to use previously unheard-of amounts of data has created unseen issues in how the data is used and shared. Similarly, Real-World Evidence is a new and important source of Data that only adds to the advancement of science. This year’s Scientific Computing Days symposium recognizes this Agency’s need to effectively collect, curate, analyze, and share large quantities of data to fulfill its public health mission.
Scientific Computing Days is an opportunity for FDA science and regulatory staff to share their knowledge and scientific computing capabilities with an audience interested in evolving information technologies to better accomplish the FDA’s mission of protecting and promoting the public health.
The meeting:
With the sesion TOP 39:
| 1 | A Comprehensive Simulation Analysis of TMB Estimation by Targeted Oncology Panels | Dan Li, Binsheng Gong, Yifan Zhang, Joshua Xu |
| 2 | A General Statistical Framework for Exploring FAERS | Wang Dong, Zhiyuan Lu |
| 3 | A Novel Natural Language Processing and Machine Learning Classifier that Streamlines Extracting Drug-Adverse Event Data from Literature Reports | Alfred Sorbello, Rashed Hasan, Henry Francis, Isaac Chang, Mitra Ahadpour, Max Laponsky, Jeremy Walsh, Caroline Trier |
| 4 | A Showcase of HIVE RNAseq Pipeline - Identifying Molecular Features of Neural Stem Cells in Varied Differentiation Stages | Sydney Fenstermaker, Ge Ma, Viswanadham Sridhara, Wei-Lun Alterovitz, Ilya Mazo, Luis Santana-Quintero, Brent McCright |
| 5 | An Automated AI Tool for the Analyses of Phase I, II, III Clinical Trials to Identify Pharmacokinetics Anomaly | Md Nayeem Hossain, Gunjan Gugale, Le Wang, Peter Lee. |
| 6 | An Overview of the Office of Computational Science Core DataFitness Service | Tejas Patel, David Jacobs, Qingying Lu, Kathryn Matto, Jamal Horne, Janie Ma |
| 7 | Characterization of the Immune-Driven Drug Hypersensitivity by Single-Cell RNA Sequencing Technologies | Masahide Yano, Marco Cardone, Krizia Chambers, Viswanadham Sridhara, Mike Mikailov, Montserrat Puig, Michael Norcross |
| 8 | CIRDS: CTP Integrated Research Data System | Mark Gingrass, Vibha Kumar, Christine Wang, Wei Chen, Geetha Potluri, Alex Abramson, Nirmala Uralikrishna, Wei Wu |
| 9 | Computational Pipeline Engine in FDA HIVE: Adventitious Agent Detection from NGS Data | Ilya Mazo, Alexander Lukyanov, Anton Golikov, Luis Santana- Quintero |
| 10 | Data Scaling for Efficient Processing on HPC Clusters | Mike Mikailov, Weijie Chen, Weizhe Li, Nicholas Petrick, Fu-Jyh Luo, Stuart Barkley, Dillip Emmanuel, Rusif Eyvazli |
| 11 | Developing Risk Assessment Applications at the FDA using AWS (Amazon Web Services) | Hong Yang, Yin Huang, Richard Forshee, Mark Walderhaug, Jason Claeys, Rebecca Kahn, Leslie Eberhardt, Guangfan Zhang |
| 12 | D-VIDE: A Dashboard for Visualizing Infectious Disease Epidemiology and its Applications to COVID-19 for Local Counties | Osman N. Yogurtcu, Artur A. Belov, Richard A. Forshee, Carolyn A Wilson |
| 13 | Elucidating Interactions Between SARS-CoV-2 Trimeric Spike Protein and ACE2 Using Homology Modeling and Molecular Dynamics Simulations | Sugunadevi Sakkiah, Huixiao Hong |
| 14 | Enterprise Business Data Analytics (EBDA) Platform – FDA’s Multifaceted Shared Federated Analytical Ecosystem | Swati Kulkarni, Will Stevenson |
| 15 | Evaluating the Utility of Computational and Cheminformatic Analyses to Screen for Potential Toxicological Hazard of Flavor Compounds Relevant to Tobacco Products | Reema Goel, Luis G. Valerio, Jr. |
| 16 | Exploring the Application of Informatics Tools to Visualize the Chemical Space of Compounds Released from Medical Devices | Candice J. Gordon, Keaton Nahan, Diego Rua, Robert M. Elder |
| 17 | Genome Analysis Toolkit (GATK) Pipeline Programming Platform on HPC Cluster | Xiaoqing (Janet) He, Pamela Callier, Elvia Butler |
| 18 | geoMapr : An Analytic Dashboard for Prescription Drug Utilization with Geographically Referenced Data Enrichment and Machine Learning | Meilan Chen, Jaejoon Song, Yueqin Zhao, Yong Ma, Rose Radin, Grace Chai, Shekhar Mehta, Travis Ready, Corinne Woods, Saranrat Wittayanukorn |
| 19 | Project Description and Pilot Study for a Pathologist-Annotated AI/ML Validation Dataset | Sarah N Dudgeon, Si Wen, Matthew Hanna, Rajendra Gupta,Mohamed Amgad,Manasi Sheth,Hetal Marble,Richard Huang,Cliff Szu,Darick Tong,Bruce Werness,Denis Larsimont,Anant Madabhushi,Evangelos Hytopoulos,Raj Singh,Steven Hart,Joel Saltz,Roberto Salgado,Brandon D Gallas |
| 20 | How the Office of Innovation Supports Scientists | Federico Grau, Nacinader Melo, Irving Reeves, Eric Reinhold, Rilwan Sogbesan, John Spafford, Rebecca Thomas, Allen Vuong |
| 21 | Crowdsourcing Advances Reproducibility Standards and Biomarker Development | Holly Stephens, Elaine Johanson, Emily Boja, Yuriy Gusev, Krithika Bhuvaneshwar, Subha Madhavan, Jonathon Keeney, Hadley King, Janisha Patel, Raja Mazumder, Sean Watford, Ezekiel Maier |
| 22 | Power Analysis and Data Augmentation for Real World Evidence with Uncertain Genetic Information |
Wei (Vivian) Zhuang, Joshua Xu |
| 23 | Preliminary Investigative Analysis of Flavor Compounds Crossing Blood-Brain Barrier Using Computational Models | Kim Stratford, Sheila Healy, Alex Tu, Luis G. Valerio Jr. |
| 24 | Novel Statistical Approaches for Leveraging Real-World Data to Support Regulatory Decisions | Wei-Chen Chen, Heng Li, Nelson Lu, Changhong Song, Ram Tiwari, Chenguang Wang, Yunling Xu, Lilly Yue |
| 25 | Real-World Evidence Synthesis on the Sex-related Modifying Effects on Development of Periprosthetic Osteolysis in Hip Arthroplasty | Wei-Lun Alterovitz, John Dougherty, Elaine Thompson, Hussein Ezzeldin, Luis Santana- Quintero, Mark O Walderhaug, Richard Forshee, Yelizaveta Torosyan |
| 26 | RNA-seq Differential Expression (DE) Toolkit | Alexis Norris, Mamatha Garige, Fu-Jyh Luo, Mike Mikailov, Nicholas Petrick, Heather Lombardi, Mayumi Miller |
| 27 | Scalnet: Scalable Network Estimation with L0 Penalty | Junghi Kim, Hongtu Zhu, Xiao Wang, Kim-Anh Do |
| 28 | Secure Platforms for Distributed RWE-based Clinical Studies | Ryan Weil, Magizhan Tamilarasu, Angela Carrigan, Chetan Paul |
| 29 | Single Cell RNA-Seq Analyses to Investigate Sub-Populations of Bone-Marrow and Adipose Derived Multipotential Stromal Cells (MSCs) from Three Donors | Furtak Vyacheslav, Viswanadham Sridhara, Malcolm Moos |
| 30 | Statistical Comparisons of Product Quality Comparability | Michael Daniel Lucagbo, Tianjiao Dai, Yixin Ren, Meiyu Shen, Yi Tsong |
| 31 | The Global Substance Registration System (GSRS): An Agency-Wide System for Organizing Scientific and Regulatory Data within the FDA and Throughout the World | Lawrence Callahan, Tyler Peryea, Frank Switzer, Elaine Johanson, Samir Lababidi, Archana Newatia, Niko Anderson Daniel Katzel, Noel Southall, Sarah Stemann |
| 32 | The National Evaluation System for Health Technology Coordinating Center (NESTcc) – Key Learnings in Enhancing the Access to Generate Real-World Evidence (RWE) for Medical Devices | Dure Kim, Keondae Ervin, Tiffany Abushaikha, Daniel A. Caños, Jose (Pablo) Morales, Flora S. Siami, Robbert Zusterzeel |
| 33 | Towards Automated Species Identification of Food Contaminating Beetles Through Elytral Pattern Recognition | Tanmay Bera, Leihong Wu, Hongjian Ding, Halil Bisgin, Zhichao Liu, Amy Barnes, Monica Pava-Ripoll, Himansu Vyas, Weida Tong, Joshua Xu |
| 34 | Potential Blood Transfusion Adverse Events Can be Found in Unstructured Text in Electronic Health Records Using Natural Language Processing Tools | Roselie A Bright, Summer K Rankin, Katherine Dowdy, Serge Blok, Susan J. Bright-Ponte, Lee Anne Palmer |
| 35 | New and Increasing Rates of Adverse Events Can be Found in Unstructured Text in Electronic Health Records using Natural Language Processing Tools | Roselie A Bright, Katherine Dowdy, Summer K Rankin, Serge Blok, Lee Anne Palmer, Susan J. Bright-Ponte |
| 36 | Use of Ontologies, Such as UNII, to Link Within and Across Data Sources | David Milward, Matt Garber, Nicolas Joannin, Qais Hatim |
| 37 | Visualizing Historical Changes to the Bacteriological Analytical Manual (BAM) | Pamela Mesite |
| 38 | Using Gibbs Sampling and Data Augmentation to Compare Diagnostic Tests in RWE Studies with Extreme Verification Bias | Gene Pennello, Qin Li |
| 39 | Using Machine Learning on ICD-10 Data to Enhance an Expert Anaphylaxis Case Definition | Kamil Can Kural, Ilya Mazo, Mark Walderhaug, Lei Huang, Luis Santana-Quintero and Ravi Goud |
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