The Role of AI in Clinical Research: Opportunities and Ethical Challenges
Artificial intelligence (AI) is rapidly transforming multiple industries, including clinical research. While AI offers enormous potential to improve processes
Artificial intelligence (AI) is rapidly transforming multiple industries, including clinical research. While AI offers enormous potential to improve processes
In the evolving landscape of healthcare, the role of the patient has shifted from a passive recipient of care
Navigating research compliance often means addressing unseen challenges. Explore strategies to identify blind spots and strengthen oversight frameworks.
In 2022, clinical research evolves with lessons from COVID-19, leading to new study designs, participant engagement, and decentralized trial technologies.
Learn what events need to be reported to the IRB after study approval and explore scenarios to help evaluate potentially reportable events.
Switching from paper to eSource in clinical trials enhances data accuracy, reduces errors, and boosts organization, offering more efficient study management.
Decentralized clinical trials (DCTs) are transforming clinical research by allowing data collection from participants outside traditional settings, such as
Navigating research compliance often means addressing unseen challenges. Explore strategies to identify blind spots and strengthen oversight frameworks.
In the evolving landscape of clinical research, increasing diversity, equity, and access has become a pressing priority. A Clinical
Key ROI metrics—like publications, staff impact, and core contributions—provide insight into research value and support institutional growth.
In the fast-evolving landscape of clinical research, data collection and performance metrics are indispensable tools for enhancing the efficiency
Clinical trials play a critical role in the development of new drugs and devices, ensuring they are both safe