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.
Eliminating barriers to engage underrepresented populations.
By integrating real-world data more deeply into the process of clinical research, life sciences stakeholders can open up new possibilities for therapeutic development and the evidence-based treatment of hematologic cancers.
Reliable internet connection an integral part of movement to DCTs.
Unlocking the full potential of artificial intelligence requires these stakeholders to ensure their data are accessible and secure.
A top 5 sponsor turned to WCG to recruit expecting mothers for its Phase III RSV vaccine trial. WCG support covered multiple countries and contributed almost one third of overall randomizations in the supported countries, bringing the study in ahead of schedule despite delays due to COVID-19 impacts on RSV seasonality. The sponsor met study timeline past enrollment by continuing to work with WCG’s retention support.
A look at the future of clinical trial laboratory testing amid the emerging use of new devices at the point of care.
Outdated regulations and inflexible sponsor processes are hampering clinical trial recruitment, but empowering sites with modern, compliant marketing tools could turn the tide.
Strong collaboration critical as trial development advances.
The emergence of AI-powered simulants in improving study efficiency.
Case study highlights how clinical operations teams can overcome complex regulatory and operational hurdles to finish a trial on time and on budget.
eTMF-blockchain technology offers a myriad of application benefits to data quality and integrity while ensuring compliance to ethical standards.
As clinical research increasingly relies on RWD to enhance trial design and patient insights, tokenization has emerged as a critical solution for securely linking disparate datasets while protecting patient privacy.
Decentralized trials provide promise for lowering barriers in participation, but industry must continue to be proactive in patient centricity.
Evidence from a Phase III cancer trial points to notable advances in data-transfer tech.
Optimizing feasibility through increased data collection.
The diversified sources of the somatic cells call for additional oversight to prevent the introduction, transmission, and spread of communicable disease.
Exploring stat-based testing for variables that identify deliberate data manipulation in clinical trials.
Gabi Hanna, MD highlights the need for an effective therapy for acute pancreatitis.
With an increasing amount of diverse data that must now be collected and analyzed, the industry is faced with increasingly complex studies that present new challenges in data management.
Study seeks to understand how different forms of data meet the needs of researchers.
Clinical trial failure insurance is turning biotech’s most costly risk into a manageable asset, opening new pathways for funding and innovation.
Webinar Date/Time: Wed, Oct 30, 2024 11:00 AM EDT
Findings from the most recent Biopharma Confidence Index show that the pandemic has substantially influenced biopharma executives’ expectations in key areas like artificial intelligence/machine learning and real-world evidence.
Explore how natural language processing and social graph techniques help to tackle the challenge of patient and investigator recruitment and raise the success rate of clinical trials.
Patient-first trial design, based around the tenets of adaptability and personalization, has emerged as a key solution to increase diversity and improve trial outcomes for all.
Changing the expectations of the feasibility study can improve the process.