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  1. News & Events for Human Drugs

2023 Scientific Computing Days - Poster Gallery

Poster Gallery

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Bayesian Spatial Cluster Signal Learning with Application to Adverse Event (AE) Bayesian Spatial Cluster Signal Learning with Application to Adverse Event (AE) Hou-Cheng Yang Hou-Cheng.Yang@fda.hhs.gov
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Scalable Filtering of Chemical Substances on HPC Clusters Scalable Filtering of Chemical Substances on HPC Clusters Mike Mikailov, Yulia Borodina, Fu-Jyh Luo, Kenny Cha Mike.Mikailov@fda.hhs.gov
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Novel 2D QSAR Models for Prediction of Reversible and Time-Dependent Inhibition of Cytochrome P450 Enzymes by Small Molecules Novel 2D QSAR Models for Prediction of Reversible and Time-Dependent Inhibition of Cytochrome P450 Enzymes by Small Molecules Sadegh Faramarzi Ganj Abad, Lidiya Stavitskaya, Donna Volpe, Xinning Yang Sadegh.faramarziganjabad@fda.hhs.gov
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Using Information Theory to Find Codon and Codon Pair Bias Networks Using Information Theory to Find Codon and Codon Pair Bias Networks Nathan Clement, Nobuko Katagiri, Chava Kimchi-Sarfaty Chava.Kimchi-Sarfaty@fda.hhs.gov
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Evaluation of Near Infrared (NIR) for the Qualitative Detection of Low Dose Drugs Evaluation of Near Infrared (NIR) for the Qualitative Detection of Low Dose Drugs Scott Krull, Tao Ding, Xiaoming Xu Scott.Krull@fda.hhs.gov
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Towards Cognitive Human Digital Twins for Simulations and Collaborations on the Metaverse Towards Cognitive Human Digital Twins for Simulations and Collaborations on the Metaverse Tam Nguyen Tam.Nguyen@fda.hhs.gov
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Predicting Binding Between 55 Cannabinoids and 4799 Biological Targets by In Silico Methods Predicting Binding Between 55 Cannabinoids and 4799 Biological Targets by In Silico Methods Michael Santillo, Robert L. Michael.Santilla@fda.hhs.gov
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Calibrating a Charlson Comorbidity Index for the American Indian Population Using the Results from the Strong Heart Study Calibrating a Charlson Comorbidity Index for the American Indian Population Using the Results from the Strong Heart Study Paul Rogers, Christine Merenda, Richardae Araojo, Christine Lee, Milena Lolic, Dong Wang, Wen Zou, Joshua Xu Paul.Rogers@fda.hhs.gov
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TransOrGAN: An Artificial Intelligence Mapping of Rat Transcriptomic Profiles between Organs, Ages, and Sexes TransOrGAN: An Artificial Intelligence Mapping of Rat Transcriptomic Profiles between Organs, Ages, and Sexes Ting Li, Weida Tong Ting.Li@fda.hhs.gov
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Characterization of FVIII Binding Sites for LRP1 Using Hydrogen-Deuterium Exchange Mass Spectrometry and In Silico Docking Characterization of FVIII Binding Sites for LRP1 Using Hydrogen-Deuterium Exchange Mass Spectrometry and In Silico Docking Haarin Chun, Andrey Sarafanov Haarin.Chun@fda.hhs.gov
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Comparing the Accuracy of Diagnostic Tests in Studies with Extreme Verification Bias: A Bayesian Model and Gibbs Sampling Computing Algorithm Comparing the Accuracy of Diagnostic Tests in Studies with Extreme Verification Bias: A Bayesian Model and Gibbs Sampling Computing Algorithm Ty Ngoc Nguyen, Gene Pennello NgocTy.Nguyen@fda.hhs.gov
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AI-Assisted Tool to Improve the Quality and Assessment of PLGA Formulations AI-Assisted Tool to Improve the Quality and Assessment of PLGA Formulations Jayanti Das, Md Easin Hasan, William Smith, Qin Bin, Wang Yan, Tian Geng, Xiaoming Xu Jayanti.Das@fda.hhs.gov
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A Machine Learning Approach for Predicting Hemophilia A Severity A Machine Learning Approach for Predicting Hemophilia A Severity Atul Rawal, Christopher Kidchob, Ou (Kelly) Jiayi, Osman Yogurtcu, Hong Yang, Zuben Sauna Atul.Rawal@fda.hhs.gov
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Impact of Shear Rate on the Flocculation State and Dissolution of Injectable Suspensions: A Numerical Study Impact of Shear Rate on the Flocculation State and Dissolution of Injectable Suspensions: A Numerical Study Jianan Zhao, Geng Tian, William Smith, Xiaoming Xu Jianan.Zhao@fda.hhs.gov
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Developing Web Applications for Expedited Risk Assessment at the FDA Developing Web Applications for Expedited Risk Assessment at the FDA Hong Yang, Yin Huang, Rebecca Kahn, Jason Claeys, Mark O. Walderhaug, Wei Wang, Richard Forshee Rebecca.Kahn@fda.hhs.gov
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adaptIVPT an R-package for Assessing Bioequivalence of Topical, Dermatological Products via an Adaptive Design 'adaptIVPT' an R-package for Assessing Bioequivalence of Topical, Dermatological Products via an Adaptive Design Nam Hee Choi, Sungwoo Choi, Elena Rantou Elena.Rantou@fda.hhs.gov
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PrecisionFDA Crowdsourcing Addresses Veteran Health Needs While Advancing the Science of Real-World Data (RWD) PrecisionFDA Crowdsourcing Addresses Veteran Health Needs While Advancing the Science of Real-World Data (RWD) Anish Prasanna, Sarah Prezek, Vishal Thovarai, Ezekiel Maier, Adrienne Phifer, Elaine Johanson Anish.Prasanna@fda.hhs.gov
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Scientific Review Alignment and Knowledge Gap Analysis in Data Multiverse Scientific Review Alignment and Knowledge Gap Analysis in Data Multiverse Chetan Paul Chetan.paul@fda.hhs.gov
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Comparison of Interlaboratory Computational Simulations of Flow and Blood Damage in the FDA Benchmark Blood Pump Comparison of Interlaboratory Computational Simulations of Flow and Blood Damage in the FDA Benchmark Blood Pump Sailahari Ponnaluri, Prasanna Hariharan, Luke H. Herbertson, Richard A. Malinauskas, Brent Craven Sailahari.Ponnaluri@fda.hhs.gov
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Add Conscience to a Generative AI Platform, Achieving Responsible AI for Clinical R&D Ider Add Conscience to a Generative AI Platform, Achieving Responsible AI for Clinical R&D Ider Peter Lee, Le Wang, Gunjan Gugale, Urvashi Somani, Md Nayeem Hossain Ider.Lee@fda.hhs.gov
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Enhancing Biologics Adverse Event Surveillance via Scalable, FHIR-based Infrastructure: Pilot Enhancing Biologics Adverse Event Surveillance via Scalable, FHIR-based Infrastructure: Pilot Hussein Ezzeldin, Matthew Deady, Steven Anderson, Lance Jones, Aaron Walerysiak, Sofia Aschettino Hussein.Ezzeldin@fda.hhs.gov
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A Systematic Analysis and Data Mining of Opioid-Related Adverse Events Submitted to the FAERS Database A Systematic Analysis and Data Mining of Opioid-Related Adverse Events Submitted to the FAERS Database Wen Zou, Huyen Le, Ru Chen, Beverly Lyn-Cook, Huixiao Hong, Paul Rogers, Weigong Ge, Weida Tong Wen.Zou@fda.hhs.gov
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AI-guided Experimental Summarization and Sentiment Analysis of Docket Comments AI-guided Experimental Summarization and Sentiment Analysis of Docket Comments Rahul Paul, Arya Eskandarian, Luis Santana-Quintero, Kevin Kho, Harinder Chahal Rahul.Paul@fda.hhs.gov
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Leveraging FDA’s GenomeTrakr Data with Visualization Dashboards Leveraging FDA’s GenomeTrakr Data with Visualization Dashboards Maria Balkey, Marc Allard, Tina Pfefer, Candace Bias, Ruth Timme Maria.Balkey@fda.hhs.gov
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Dashboard for Interactive Analysis of Mycotoxin Occurrence in Human Foods Data: Streamlining Annual Report Generation and Data-Sharing Dashboard for Interactive Analysis of Mycotoxin Occurrence in Human Foods Data: Streamlining Annual Report Generation and Data-Sharing Tabitha Miller, Anthony Adeuya, Ernest Kwegyir-Afful, Lauren (Posnick) Robin Tabitha.Miller@fda.hhs.gov
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Evaluation of Digital Biomarkers in Nonclinical Research: Barriers to Information Sharing and Collaboration Evaluation of Digital Biomarkers in Nonclinical Research: Barriers to Information Sharing and Collaboration John Dennis John.Dennis@fda.hhs.gov
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bettercallsal: Better Calling of Salmonella Serotypes from Enrichment Cultures Using Shotgun Metagenomic Profiling and its Application in an Outbreak Setting bettercallsal: Better Calling of Salmonella Serotypes from Enrichment Cultures Using Shotgun Metagenomic Profiling and its Application in an Outbreak Setting Padmini Ramachandran Padmini.Ramachandran@fda.hhs.gov
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In-silico Study of the Effect of Including Lactose Fines in Modeling Dry Powder Inhaler Performance In-silico Study of the Effect of Including Lactose Fines in Modeling Dry Powder Inhaler Performance Jae Lee Jae.Lee@fda.hhs.gov
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Data Central: Accelerating CDER’s Regulatory Review Process by Providing Quality Study Data at the Right Time, in the Right Place, in the Right Format Data Central: Accelerating CDER’s Regulatory Review Process by Providing Quality Study Data at the Right Time, in the Right Place, in the Right Format Slyvester Ezeani, Maren Savignano, James Wedge, Matthew Wiley, Ketan Deopujari, Omolola Ajala, Matthew Robinson, Austin Ford, Jack Slattery, Sofiya Bandura, Sabrina Baldassarre, Christine Cushwa James.Wedge@fda.hhs.gov
Automating Active Surveillance of Online Health Fraud using Artificial Intelligence
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Automating Active Surveillance of Online Health Fraud using Artificial Intelligence Automating Active Surveillance of Online Health Fraud using Artificial Intelligence Benjamin Ballintyn Benjamin.Ballintyn@fda.hhs.gov
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Updates to BioCompute Tools and Guidelines for Use Updates to BioCompute Tools and Guidelines for Use Charles King Charles.King@fda.hhs.gov
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OCS Analysis Studio OCS Analysis Studio Shraddha Thakkar Shraddha.Thakkar@fda.hhs.gov
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Governing the Multiverse: Implementing Data Governance to Enhance Data Sharing and Collaboration in the Evolving and Expanding Landscape of CTP’s Data Multiverse Governing the Multiverse: Implementing Data Governance to Enhance Data Sharing and Collaboration in the Evolving and Expanding Landscape of CTP’s Data Multiverse Jack Slattery John.Slattery@fda.hhs.gov

 

 
 
 
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