ARTICLES, APP NOTES, CASE STUDIES, & WHITE PAPERS

• 10 Questions To Ask When Looking For An eClinical Platform

  Stakeholders should ask these questions when aiming to enhance the integrity and efficiency of their clinical trials while minimizing risks associated with inadequate eClinical solutions.

• Optimizing Data Capture From Protocol Design To Efficacy Endpoints

  The shift to digital trials favors the 11-point NRS over the traditional VAS to reduce data noise, improve elderly patient compliance, and ensure statistical power across mobile devices.

• How Long Is Your RTSM Risk Mitigation List?

  While RTSM systems help reduce many of the risks in clinical trials, each trial’s unique setup necessitates a risk analysis to identify trial-specific challenges.

• Emerging Biopharm Rapidly Sets Up Phase 1 Oncology Trial

  Uncover how an emerging biopharmaceutical company was able to expedite the initiation of a Phase 1 oncology trial for a novel treatment targeting relapsed/refractory multiple myeloma.

• Cytokine Release Syndrome Monitoring

  Here we introduce an innovative risk-monitoring solution aimed at mitigating Cytokine Release Syndrome (CRS), a critical complication in immunotherapy that often leads to prolonged hospitalization.

• eISF In European Clinical Trials And How eBinders Can Help

  By addressing the unique hurdles tied to regulations in European clinical trials, eBinders offer a streamlined approach to managing electronic trial documentation.

• FDA Guidance Has Implications For EDC And EHR eSource Capabilities

  Gain insight from an eSource study observing digitally received data as far back as 2007 to just before initial guidance was released by the U.S. FDA in 2013.

• A New Take On The Evolving Role Of AI In Clinical Trials

  Artificial intelligence is shifting from promise to practice in biopharma. Zhong Lu, director of data science and AI at Novartis, outlines how AI is evolving the clinical trials process end-to-end.

• From Data Silos To Unified Insights: The Power Of AI In Clinical Trials

  AI tools like TrialKit AI revolutionize clinical trials by integrating diverse data sources, including wearables, breaking silos, enhancing insights, and enabling smarter, more patient-centered research.

• Study, Not Software: Aligning RTSM To The Protocol

  How can RTSM platforms improve your clinical trial and how do they integrate with your crucial trial systems?