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PHUSE Archive

All materials from PHUSE Events (e.g. Connect conferences, SDEs) can be found below. Using the filters will allow you to narrow down your search of our vast archive. In the interest of sharing knowledge, this section is open to everyone.

Please reach out to communications@phuse.global if you require further assistance finding what you need.

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EventYearRegionCityTitleAuthorCompanyCo-authorKeywordsLinks

Connect

2024

US

Bethesda

AR05: QTLs/Acceptable Ranges: How to Set Thresholds

Debra Jendrasek

Daiichi Sankyo

Marcus Muli

AR05; Analytics Risk-based Monitoring

SDE

2024

US

Boston

RWD Quality – Driving Factor for Efficient Application of AI

Parag Shiralkar

Sumptuous Data Sciences 

Connect

2024

US

Bethesda

AR06: Risk-Based Quality Management: It’s Embedded! (Or Is It?)

Michael Walega

Bristol Myers Squibb

Steven Gilbert

AR06; Analytics Risk-based Monitoring

SDE

2024

US

Boston

Generative AI: Some Practical Applications

Todd Case

Vertex 

Connect

2024

US

Bethesda

AS01: Applying Machine Learning for Predicting Potential Adverse Events from Real-World Data

Samiul Haque

SAS

AS01; Analytics & Statistics

SDE

2024

EU

Utrecht

The FDA’s Perspective on Buzzwords such as AI and ML in Drug Development

Fadi Glor

SAS

Connect

2024

US

Bethesda

AS02: From Stowaway to Admiral, a R-iveting Tale of a Hierarchical Composite Endpoint’s Journey from Idea to Dataset

Nicole Major

AstraZeneca

AS02; Analytics & Statistics

SDE

2024

EU

Utrecht

Extracting Public Health Benefits from AI in the Medicine’s Lifecycle

Florian Lasch

European Medicines Agency

Connect

2024

US

Bethesda

AS03: EOSS_MMRM V1.0: A Shiny Application for Estimand-Oriented Sample Size and Power Simulation Using MMRM Modelling

Xiaoli Kong

Wayne State University

Jing Dai

AS03; Analytics & Statistics

SDE

2024

EU

Utrecht

The Current State of Interpretable Machine Learning and its Usage in Clinical Research

Yann Féat

mainanalytics

Connect

2024

US

Bethesda

AS05: Spline Analysis to Understand the Non-linear Relationship in Clinical Research

Anwaya Joshi

Cytel

AS05; Analytics & Statistics

SDE

2024

EU

Utrecht

Clinical Trial-Specific LLM to Auto-Generate Protocols and SAPs

José Lacal

TrialTwin, VisionAI

Philip Göpfert

Connect

2024

US

Bethesda

AS06: Real-World Application of Natural Language Processing: More Than Just Sentiment Analyses

Scott McClain

SAS

AS06; Analytics & Statistics

SDE

2024

EU

Utrecht

Powering Medical Industry with AI: Automated Consistency Checks for Regulatory Documents with ML

Henning Pontoppidan Föh

Novo Nordisk, Aalborg University

Christian Fillip Pinderup Nielsen & Magnus Olesen

Connect

2024

US

Bethesda

AS07: SAS PROC MI: Your Impeccable Tool for Enhanced Data Analysis Through the Lens of Multiple Imputation

Anush Kurghinyan

Gurus

Shahrzad Talebian

AS07; Analytics & Statistics

SDE

2024

EU

Utrecht

Appropriate Use of Blood Cultures in the Emergency Department Through Machine Learning: a Randomised Controlled Trial

Noucka van der Zaag

Amsterdam University Medical Centre (UMC)

Sheena Bhagirath

Connect

2024

US

Bethesda

AS08: Data Designer: Empowering Data Mapping, Manipulation and Analysis for Advanced Insights and Decision-Making

Mukul Mittal

Sanofi

Andre Couturier

AS08; Analytics & Statistics

SDE

2024

EU

Utrecht

How Breakthroughs in AI Disrupt the Disrupters

Harro Stokman

Kepler Vision Technologies

Connect

2024

US

Bethesda

AS09: SPACE – GSK Biostatistics Continues its Journey to a New Frontier

Eileen Ching

GSK

AS09; Analytics & Statistics

SDE

2024

EU

Utrecht

Limitations of Using ChatGPT in Writing Statistical Programs in SAS for Clinical Trials

Jörn Bilow

Entimo

Shivoy Pandita

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