CASE STUDY: Applying Fractional Prediction to Drive Clinical Supply Efficiency
Join Calyx’s Sylvain Berthelot in this presentation about usual site stock management lacks efficiency and how fractional prediction works. Gain insight into how it addresses protocol-specific challenges, resulting in a more efficient clinical supply chain.
Wednesday, October 20, 9:15 AM – 9:45 AM EST
Live Virtual Networking Hub and Roundtable Session on Regulatory Expectations on IRT Data Ownership
Join Calyx’s Craig Mooney for this immersive roundtable session where thought-leaders will share their insights, knowledge and discuss:
- Regulatory changes that emphasize site ownership of the IRT data they collect
- Interpreting the regulations for data
- Reviewing vendor and sponsor progress in this area
Wednesday, October 20, 11:15 AM – 11:45 PM EST
WHEN
October 19, 2021
October 20, 2021
Speakers
Sylvain Berthelot
Sr. Dir. Voice of Customer & Strategy
Sylvain has acquired extensive experience in IRT through various roles within Calyx over his 10+ years in the company. It allows him to grasp where IRT can make a difference based on the protocol design, and accordingly advise clinical trial teams what solution is the most suitable for each trial. Sylvain is a key member of the Calyx IRT product core team, acting as an advocate for end-users, as well as sharing his vision with the team to push the boundaries of IRT.
Craig Mooney
Vice President, Scientific E-tech Enabled Services, Calyx
Craig Mooney has nearly 30 years’ experience in the clinical development industry, with concentrated focus on optimizing IRT to improve clinical trial efficiencies. Craig brings a unique understanding of IRT from both a delivery and user perspective, having served as the Director of IRT at Bristol-Myers Squibb for most of the past decade and having held roles in clinical operations, IMP packaging, and labeling & logistics. He is considered an industry expert and has been a featured speaker at numerous IRT conferences including positions as Conference Chairman.
