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  4. 2024 Scientific Computing Days - Poster Gallery
  1. News & Events for Human Drugs

2024 Scientific Computing Days - Poster Gallery

Poster Gallery

# Poster Title Authors Contact
1
1-2024_SCDT_Poster_DanLi.jpg
Enhancing Systematic Literature Review with Advanced AI: A Study on LLM-Based Screening Dan Li, Leihong Wu, Svitlana Shpyleva, Ting Li, Joshua Xu dan.li@fda.hhs.gov
2
2-2024_SCDT_Poster_BarbaraScott.jpg
Protecting Public Health Using (Quantitative) Structure-Activity Relationships and Expert Knowledge: Considerations for ICH M7 Class 4 Impurities Barbara Scott, Naomi Kruhlak, Jahan Cooper, Naomi SwederGold, Samuel Odebamowo barbara.scott@fda.hhs.gov
3
3-2024_SCDT_Poster_PaulRogers.jpg
AI-Driven Prediction of ICU Mortality Through Digital Processing of Vital Signs Paul Rogers, Dong Wang, Youjin Wang, Khalid Puthawala, Tariq Fahmi, Beverly Lyn-Cook, Wen Zou, Weida Tong paul.rogers@fda.hhs.gov
4
4-2024_SCDT_Poster_ThanjavuruTanav.jpg
PrecisionFDA: A Sandbox for Innovative and Collaborative Artificial Intelligence (AI) Solutions for Public Health Amy Gutierrez, Adrienne Phifer, Samuel Westreich, Ezekiel Maier, Gabrielle Kosoy, Melissa Moss, Tanav Thanjavuru, Omar Serang, Michael Morgan, Samir Lababidi, Elaine Johanson adrienne.phifer@fda.hhs.gov
5
5-2024_SCDT_Poster_YitongLiu.jpg
Evaluating pharmacokinetics and toxicity of botanical constituents by in silico methods Yitong Liu yitong.liu@fda.hhs.gov
6
6-2024_SCDT_Poster_GavinOBrien.jpg
Enhancing Public Health and Regulatory Efficiency with Microsoft’s Power Platform LaToya Crabbe, Gavin Obrien latoya.crabbe@fda.hhs.gov
7
7-2024_SCDT_Poster_JayantiDas.jpg
Low-resolution image reconstruction methodology using Generative Adversarial Network (GAN) to improve drug product quality assessment Jayanti Das, Theophilus Acquah, Yuan Zhang, Yang, Yang, Muhammad Ashraf, Geng Tian, Xiaoming Xu jayanti.das@fda.hhs.gov
8
8-2024_SCDT_Poster_EllyKonjkav.jpg
Forecasting Changes in Data Characteristics: A Case Study on Chest Radiograph Images Elham Konjkav, Ghada Zamzmi, Jana Delfino elham.konjkav@fda.hhs.gov
9
9-2024_SCDT_Poster_LeihongWu.jpg
AskFDALabel: Enhancing AE Detection, Profiling, Classification, and Monitoring Leihong Wu, Joshua Xu, Hong Fang, Weida Tong leihong.wu@fda.hhs.gov
10
10-2024_SCDT_Poster_AbouzarKaboudian.jpg
Design and development of digital phantoms to provide guidance for simulations of electrophysiological activity in tissue Aseem Milind Pradhan, Richard Gray, Abouzar Kaboudian abouzar.kaboudian@fda.hhs.gov
11
11-2024_SCDT_Poster_RebeccaKahn.jpg
Optimizing Applications for Expedited Risk Assessment on Amazon Web Services (AWS) at the FDA Hong Yang, Yin Huang, Rebecca Kahn, Mark Walderhaug, Jason Claeys, Richard Forshee rebecca.kahn@fda.hhs.gov
12
2024_SCDT_Poster_Xiangyi Dong
Application of AI/ML for risk assessments on Antisense Oligonucleotides (ASOs) aggregation Xiangyi Dong, Muhammad Ashraf, Haiou Qu, Deyi Zhang, Olen Stephens, Lawrence Perez, Maxwell Korang-Yeboah xiangyi.dong@fda.hhs.gov
13
13-2024_SCDT_Poster_ChaoWang.jpg
Use of Artificial Intelligence to Improve the Calculation of Percent Adhesion for Transdermal and Topical Delivery Systems Chao Wang, Caroline Strasinger, Yu-Ting Weng, Xutong Zhao chao.wang@fda.hhs.gov
14
14-2024_SCDT_Poster_TomasDrgon.jpg
Dataforward - Data Science Upskilling Program For FDA Staff Tomas Drgon tomas.drgon@fda.hhs.gov
15
15-2024_SCDT_Poster_AmirrezaNickkar.jpg
A Comparative Analysis of Statistical Methods for Detecting Emerging Chemical Signals Utilizing NIH Grant Data Amirreza Nickkar, Ernest Kwegyir-Afful amirreza.nickkar@fda.hhs.gov
16
16-2024_SCDT_Poster_JohnZoscak.jpg
Leveraging data standards and the QT technical specifications document to break down data silos, enable AI research, and advance regulatory science John Zoscak, Rejaul Karim, Lars Johannesen, Jose Vicente jose.vicenteruiz@fda.hhs.gov
17
17-2024_SCDT_Poster_JordanVeney.jpg
FDA Innovative Technologies and Advanced Manufacturing Hub Kirstie Snodderly, Jordan Veney, Jamie Elliott, C. Kent Jordan, Benjamin Jones, General Lee, James C. Coburn james.coburn@fda.hhs.gov
18
18-2024_SCDT_Poster_WeijieChen.jpg
Performance Evaluation of Deep Learning-based Tumor-Infiltrating Lymphocyte Cell Detection Algorithms for Histopathology Whole Slide Images Arian Arab, Lakshyana KC, Seyed Kahaki, Weijie Chen weijie.chen@fda.hhs.gov
19
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Summarizing FAERS Narratives with Generative AI: Methods, Resource Requirements, and Quality Assessment Kate Dowdy, Anna Hoffman, Tyree Giles, David Kugele, Jacqueline Guill1, Isaac Chang, Gregory Jackson weijie.chen@fda.hhs.gov
20
20-2024_SCDT_Poster_EvgenyKiselev.jpg
Advancing CAPA analysis with NLP: unlocking organizational insights and drawing on past improvements Evgeny Kiselev, Danielle Larese, Selen Stromgren evgeny.kiselev@fda.hhs.gov
21
21-2024_SCDT_Poster_EckartBindewald.jpg
A Machine Learning Approach for Balancing Risk and Time For Evaluation of Import Entry Filers Revati Rajane, Eckart Bindewald, Lija Fellows, Indu Konduri, Tyler Poppenwimer, John Jackson, Serajus Salaheen, Robert Timmons, Isaac Garcia, Brandon Tao, Ben Duan, Faiad Rahaman, Precise Software Solutions, FDA Office of Regulatory Affairs eckart.bindewald@fda.hhs.gov
22
22-2024_SCDT_Poster_NikkiTirrell.jpg
ENLP-based biological cell type annotator scRAGAnnot for single-cell transcriptomics Nikki Tirrella, Rahul Paula, Alexander Murraya, Arya Eskandariana, Spyros Karaiskosa, Luis Santana-Quinteroa, Sreenivas Gannavaram nikki.tirrell@fda.hhs.gov
23
23-2024_SCD_Poster_AnnaHoffman.jpg
AI Assisted Tool for Regulatory Document Conformance Review - EIR Pilot Performance Anna Hoffman, Daniel Priver, Ian Baker, Brian Campbell, Leslie Jackanicz, Jaqueline Guill, Indu Konduri anna.hoffman@fda.hhs.gov
24
24-2024_SCDT_Poster_ManniMashaee.jpg
Analysis and Reporting Pipeline for Cardiac Ion Channel Pharmacology Data: HESI BAA case example Manni Mashaee, Claudia Alvarez-Baron, Donglin Guo, Wendy Wu, Jose Vicente Ruiz manni.mashaee@fda.hhs.gov
25
25-2024_SCDT_Poster_TingLi.jpg
Reproducibility in AI – a case study Ting Li, Kamel Mansouri, Weida Tong ting.li@fda.hhs.gov
26
26-2024_SCDT_Poster_OsmanYogurtcu.jpg
Proposed Assessment of Trends in Disarities in PAD Outcomes Osman Yogurtcu, Olamide Alabi, Misti Malone, Artur Belov, Orestis Panagiotou, Danica Marinac-Dabic, Gregory Pappas osman.yogurtcu@fda.hhs.gov
27
27-2024_SCDT_Poster_JunghiKim.jpg
Leveraging Machine Learning to Characterize Relationships Among Biosimilar Product Quality Attributes and Clinical Performance Kevin McCoy, Stella Grosser, Jinhui Zhang, Mack Shih, Xiaoming Xu, Junghi Kim junghi.kim@fda.hhs.gov
28
28-2024_SCDT_Poster_RaechelDavis.jpg
Improving Pattern Discovery in the FDA Adverse Event Reporting System (FAERS) with Network Analysis (NA) Raechel Davis, Oanh Dang, Suranjan De, Robert Ball raechel.davis@fda.hhs.gov
29
29-2024_SCDT_Poster_SeanSmith.jpg
Pathogen detection in human blood and plasma using long read sequencing Sean Smith, Moussa Kourout, Scott Espich, Carolyn Fisher, Irina Tiper, Anjan Purkayastha, Luis Santana-Quintero, Robert Duncan sean.smith@fda.hhs.gov
30
2024_SCDT_Poster_Shraddha Thakkar
OCS Analysis StudioV2: Cutting-Edge Tools for Detecting Safety Signals and Crafting Review-Ready Tables and Figures Shraddha Thakkar, Joy Li, Alan Shapiro, Justin Elfritz, Justin Gaskins, Genevieve Li, Thomas O’Neal, Vishnu Santosh Menon, Elizabeth Spingola shraddha.thakkar@fda.hhs.gov
31
31-2024_SCDT_Poster_ChetanPaul.jpg
FDA Insights: Simple interactive access to FDA information for public, industry, clinical research Using customized LLMs and RAG Chetan “Aryan” Paul, Ravichandran Sarangan, Ramprasad Venkatraman chetan.paul@fda.hhs.gov
32
2024_SCDT_Poster_Saul Sarria
Scalable Workflow for Genome Binning on HPC Clusters Saul Sarria, Mike Mikailov, Fu-Jyh Luo, Daniel Tadesse, Kenny Cha, Caitlin Welsh saul.sarria@fda.hhs.gov
33
2024_SCDT_Poster_Mike Mikailov
Scalable Assessment of Progression-Free Survival in Metastatic Breast Cancer using HPC Clusters Mike Mikailov, Subrata Mukherjee, Qian Cao, Fu-Jyh Luo, Kenny Cha mike.mikailov@fda.hhs.gov
34
2024_SCDT_Poster_RachelTownsley
Medical Device Demand Modeling for Supply Chain Analysis Rachel Townsley, Siddhartha Nambiar, Michael Vella, Alexandra Cha, Tammy Beckham rachel.townsley@fda.hhs.gov

 

 

 

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