PHUSE2024·Connect·Data Science
AI Got the Power: Streamlining Clinical Test Data Creation ML14 EU · Strasbourg
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Conference Papers
13,885
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PHUSE2024·Connect·Data Science
Leveraging ‘Ensemble’ Machine Learning Models to Drive Automation of Specification Generation and Data Mapping in Clinical Trial Data Submission ML15 EU · Strasbourg
PHUSE2024·Connect·Data Science
Hi. I Am a Chatbot. How Can I Help You? Enhancing the Reliability and Traceability of Large Language Models ML18 EU · Strasbourg
PHUSE2024·Connect·Data Science
The Magical Trinity of TFL Automation: Digital Documents, Metadata and GenAI ML19 EU · Strasbourg
PHUSE2024·Connect·Drug Development
The Role of FHIR Resources in Testing and Validating an EHR to a Sponsor Data Pipeline RE01 US · Bethesda
PHUSE2024·Connect·Drug Development
Harmonisation and Interoperability Between OMOP CDM and CDISC SDTM RE01 EU · Strasbourg
PHUSE2024·Connect·Drug Development
Usage of OMOP-CDM along with CDISC in Clinical Trials: Challenges and Opportunities RE02 US · Bethesda
PHUSE2024·Connect·Drug Development
Synthesised Real-world Data: JSON and the Argonauts RE02 EU · Strasbourg
PHUSE2024·Connect·Drug Development
Future Clinical Data Submission Standards: CDISC, FHIR, OMOP, or Hybrid Model RE03 US · Bethesda
PHUSE2024·Connect·Drug Development
Considerations for the Submission of RWD Using CDISC, with Insights from HL7 FHIR and OMOP RE03 EU · Strasbourg
PHUSE2024·Connect·Drug Development
Comparing the Performance of Propensity Score Matching Algorithms from Multiple Programming Languages RE04 US · Bethesda
PHUSE2024·Connect·Drug Development
Ensuring Governance and Traceability of RWD from Source to Regulatory Submission: Use Case RE04 EU · Strasbourg
PHUSE2024·Connect·Drug Development
Mapping Real-World Data (RWD) to SDTM Samples for External Control Arm or Registry Studies RE05 US · Bethesda
PHUSE2024·Connect·Drug Development
Scaling ECAs from Projects to the Enterprise: Multicentre, Multisource Infrastructure for External Control Arms RE06 US · Bethesda
PHUSE2024·Connect·Drug Development
Automating Real-World Data Analysis Using R Packages and Shiny: A Three-Stage Workflow RE06 EU · Strasbourg
PHUSE2024·Connect·Drug Development
Incorporating Real-World Data in a Low-Interventional Study: Challenges and Considerations RE07 US · Bethesda
PHUSE2024·Connect·Drug Development
Future-Proofing Clinical Data Sciences: The Pivotal Role of Therapeutic Area Proficiency TA02 US · Bethesda
PHUSE2024·Connect·Drug Development
Confirmation and Cancellation – Best Strategies for Data Collection and Handling within Solid Tumor Studies Using RECIST 1.1 and iRECIST Guidelines TA03 US · Bethesda
PHUSE2024·Connect·Drug Development
Are Platform Trials the Need of the Hour for Oncology Trials? TA04 US · Bethesda
PHUSE2024·Connect·Drug Development
Programming Approaches for Integrated Summary of Efficacy (ISE) Development in Oncology TA05 US · Bethesda