A feature of the presented tool for predictive analysis of Real-World Data (RWD) is the ability to collect and analyze data on different patient cohorts. Machine algorithms collect information about patients from medical records received from prevention and treatment facilities, pharmaceutical companies, and researchers in 29 regions of the Russian Federation.
As a result, pharmaceutical and biotech companies will have a legally compliant provider of RWD derived from millions of EHRs. This will aim to contribute to the overall knowledge base on drugs efficacy and safety, including those of vaccines.
Including Women of Childbearing Age in Clinical Research
March 26th 2024In recognition of International Women's Month, we're featuring this recent talk between Associate Editor Miranda Schmalfuhs and Marie Teil, Global Head of UCB’s Women of Childbearing Age Program. They speak about the specific challenges women with chronic illnesses face when accessing appropriate treatment and participating in clinical trials, UCB's Women of Childbearing Age Program and it’s most successful strategies, and much more.
Improving Engagement While Maintaining Data Integrity & Validity
March 19th 2024In recognition of Women's Health Month, we're featuring this recent talk between Associate Editor Miranda Schmalfuhs and uMotif's Chief Product Officer, Julia Lakeland, discuss new technologies improving patient engagement and reducing the emotional and logistical burdens of participation, ethical considerations that should be addressed when implementing those technologies, while ensuring patient privacy, and much more.