Research can reveal vital information about treatments in the long run.
2020 Tufts CSDD study examines relationship between investigative site personnel diversity and study participant diversity.
Evidence from a Phase III cancer trial points to notable advances in data-transfer tech.
Study evaluates the use of AI-supported medical coding module.
Advancing risk-based auditing one step further by identifying the underlying process deficiencies to enable improved corrective and preventive actions.
Fully-integrated, component-based CDMS offers flexibility, customization, and efficiency.
There's no one-size-fits-all approach during the COVID-19 pandemic
Lessons from six months of conducting clinical trials during the COVID-19 pandemic
Recent study results highlight need for new metrics in ECOG scoring to mitigate variability.
Regulations that apply across geographic borders can provide researchers and patients a firmer foundation on data protection.
As clinical research continues to globalize and grow at pace, there is a risk that global greenhouse gas emissions will escalate unless mitigation strategies are actively included in corporate strategies.
COVID-19 forces life sciences industry to make long overdue changes.
Teams must work together with technology solutions and optimize integration to unlock their full potential.
Wearable sensors and remote monitoring technology can help HCPs monitor and manage COPD more effectively.
Bayesian methods bring flexibility and speed to clinical trial design and analysis, and with increased access to the necessary computational power, are transforming today’s clinical research.
Concept of flexibility acting as driving force behind industry’s swift response to COVID-19.
How cognitive evaluations can aid in meeting the growing demand for more comprehensive safety profiles.
Three key considerations for deploying technology to help increase diversity in trials.
At ASCO 2025, clinical operations leaders gained critical insights into how AI tools, bispecific antibodies, and evolving treatment paradigms are reshaping trial design, endpoint selection, and patient stratification.
Optimizing feasibility through increased data collection.
Trials that address multiple questions simultaneously using a master protocol can be operationally complicated. These complexities can be managed, even in studies used to support a marketing application.
Key takeaways from a survey of 250 oncology patients measuring COVID-19’s impact on patient willingness to participate in clinical trials.
Distinguishing CAR-T and CPI approaches and the clinical trial challenges and complexities associated with each.
This eBook will discuss three key ways that researchers can implement AI to address data challenges, improve patient safety and outcomes, and accelerate processes.
With close collaboration between sponsors, CROs, and regulators, this emerging technology has the potential to greatly improve the lives of patients.
2020 Tufts CSDD study examines relationship between investigative site personnel diversity and study participant diversity.
Alleviating sponsor and investigator concerns around sharing of remote-assessment data in accordance with GCP and GDPR standards.