Central Laboratories White Papers & Articles
-
Improve Site Selection And Identify Your Ideal Patient With AI Insights
2/1/2024
As AI sprouts seemingly everywhere across the clinical trial space, the growing alliance between tech and biopharma requires extensive collaboration, ample testing, and greater understanding across the board.
-
Overcoming Real-World Data Capture Challenges In Phase 4 Trials
1/29/2024
As the demand for real-world insights continues to grow, learn why navigating challenges and leveraging emerging opportunities becomes crucial for advancing clinical research in the real-world setting.
-
Defining ‘Evidence Generation' Within Modern Clinical Trials
1/26/2024
Learn how this distinctive approach centered on enabling clinical trial sponsors to gather data and generate evidence ensures the successful acquisition of diverse information.
-
The Pharmaceutical Industry: 2024 (And Beyond) Predictions
1/24/2024
DCTs, RWD, IRA … our industry predictions for 2024 are filled with acronyms. As we delve into 2024, explore what trends are hot ― and not ― for the coming year, and their impact on the industry.
-
Diversity In Clinical Trials: How Companies Are Tackling The Issue
1/24/2024
Experts from Genentech, Moderna, and Patientory share how collaborative approaches involving technology and multiple resources can improve health outcomes and increase diversity in clinical trials.
-
Digital Advancements In Clinical Development - What’s Next?
1/17/2024
Review this year's predictions for improving digital biomarkers and data analytics, bettering endpoint sensitivity and specificity, and reducing timelines and costs of clinical development.
-
Flexible Technologies, Category Expertise Is Key In Cardiovascular Research
1/17/2024
Developing life-saving heart health treatments requires an understanding of the unique requirements of cardiovascular studies, along with flexible eClinical and electronic data capture solutions.
-
2024 Safety And Regulatory Compliance Trends And Predictions
12/26/2023
The introduction of artificial intelligence and machine learning into pharmacovigilance, safety, and regulatory workflows stands to have a major impact on process efficiency and employee workloads.
-
NIH 2023 Data Management And Sharing Policy FAQs
12/19/2023
Uncover how the DMS policy intends to promote transparency, collaboration, and the rapid transformation of research outcomes into tangible advancements for the betterment of human health.
-
Harnessing Clinical Data With An Integrated Infrastructure
12/19/2023
Discover why it’s never too early to start integrating clinical data sources regardless of company size and how to get buy-in across the organization on the process.