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Real World Evidence Community Forum
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October Webinar Wednesday
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EU Connect 2024
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Career Journeys & Insights: Interview Series – Saritha Chamarthi

Saritha Chamarthi is a computer science postgraduate and an IIMB alumna with 18+ years of experience. She has spent 16+ years managing global studies in supplying solutions for end-to-end clinical programming and analytics. Saritha has been Director – Global Clinical Programming & Analytics at Fortrea for six years, leading a global team of 150 technical clinical professionals who work on end-to-end deliverables with technologies which include programming, analytics, and testing teams.

Category: All Things PHUSE

PHUSE Data Transparency Autumn Event 2024 Summary

The Data Transparency Autumn Event 2024 was a resounding success, with 539 attendees joining us from across the industry. We had the largest registration numbers ever received for a PHUSE Data Transparency event, and the level of engagement throughout all three days was incredible! Continue reading for reflections from our Data Transparency Leads. For those who missed any sessions or would like to revisit key discussions, all recordings are now available on the PHUSE Advance Hub.

Category: Events Across the Globe

Welcome to Strasbourg! The Host City of the EU Connect 2024

Strasbourg is the capital city of the Grand Est region, formerly Alsace, in northeastern France. Known as the ‘city of roads’ in ancient German, it lies at the border of the Roman and Germanic worlds. This location adds to the wealth of its past, for better and worse. After the turbulent periods of war, Strasbourg has regained peace and calm, earning its title as the ‘capital of a reconciled Europe’.

Category: Events Across the Globe

A Story from the Novartis Hackathon: Industry Acceptance of the CAMIS Project

The CAMIS (Comparing Analysis Method Implementations in Software) Working Group project is a cross-industry initiative run in collaboration with members from PHUSE, PSI and the ASA. Several discrepancies have been discovered in statistical analysis results between programming languages, even in fully qualified statistical computing environments. The goal of CAMIS is to investigate and document the source of these discrepancies to reinstate confidence in reliability.

Category: Working Groups News

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