PHUSE2025·Connect·Industry StandardsBiomedical Concepts: What Are They and Why Should I Care? DS04 US · OrlandoSee metadata
PHUSE2025·Connect·Industry StandardsEnable and Automate: A Technical Roadmap Defining CDISC’s Path to End-to-End Automation DS05 US · OrlandoSee metadata
PHUSE2025·Connect·Industry StandardsNavigating the Complexities of AESI: A Centralised Approach to Molecule-Level Management DS06 US · OrlandoSee metadata
PHUSE2025·Connect·Industry StandardsCompeting on Products, Collaborating on Standards: An Approach to Harmonising Vaccine Regulatory Submissions DS07 US · OrlandoSee metadata
PHUSE2025·Connect·Industry StandardsEnd-to-End Therapeutic Area Data Standards Development and Governance – A Case Study Involving CRS and ICANS DS08 US · OrlandoSee metadata
PHUSE2025·Connect·Industry StandardsSelecting GeARS: Analysis Results Standard Implementation Options for Accelerated Analysis and TFL Automation DS09 US · OrlandoSee metadata
PHUSE2025·Connect·Industry StandardsYour SCE is Only as Good as Your Data: The Central Role of Information Governance in Clinical Research DS10 US · OrlandoSee metadata
PHUSE2025·Connect·Industry StandardsEvolution of Genomic Data Mapping from PF to GF in SDTM v3.4: Concepts, Challenges and Controlled Terminology with Genetic Variation Examples DS11 US · OrlandoSee metadata
PHUSE2025·Connect·Industry StandardsChallenges of Genomic Data in Clinical Trials DS12 US · OrlandoSee metadata
PHUSE2025·Connect·Industry StandardsInnovative Storage of SDTM Mappings as JSON: Boosting Efficiency and Data Consistency DS13 US · OrlandoSee metadata
PHUSE2025·Connect·Industry StandardsData Quality in Pooled Studies: Overcoming Challenges and Ensuring Accuracy DS14 US · OrlandoSee metadata
PHUSE2025·Connect·Industry StandardsFuture-Proofing Clinical Data Standards: Preparing for AI and Machine Learning DS16 US · OrlandoSee metadata
PHUSE2025·Connect·Industry StandardsStaying Out of the Ditch – How Governance Can Provide Your Team Guardrails DS17 US · OrlandoSee metadata
PHUSE2025·Connect·Industry StandardsOptimising SDTM and ADaM: Remediation Techniques for Data Accuracy DS18 US · OrlandoSee metadata
PHUSE2025·Connect·Industry StandardsHow Unique is it for the Subject Identifier in a Study To Have Multiple Screenings and Enrolments? DS19 US · OrlandoSee metadata
PHUSE2025·Connect·Job SkillsBuilding High-Performing Biometrics Teams: The SELF-REINFORCING LOOP and Leadership in Clinical Trials PD01 US · OrlandoSee metadata
PHUSE2025·Connect·Job SkillsLearning to Skate, Pedal and Drive – Change Leadership in the World of Agile Delivery PD02 US · OrlandoSee metadata
PHUSE2025·Connect·Job SkillsNeurodiverse Teams: Fostering Innovation and Inclusion PD03 US · OrlandoSee metadata
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