INSIGHTS ON CLINICAL TRIAL TECHNOLOGIES

• Reducing Complexity In Lupus Clinical Studies

  Lupus is a complicated disease, characterized by an aggregation of symptoms, which can vary from patient to patient and makes diagnosis difficult. For clinical research, this variability in the manifestation of the disease also increases complexity of data collection. Documentation requirements for a lupus research study are extensive – far more than a typical patient medical chart. And data variability can obscure the ability to detect improvement in disease activity.

• What Level Of Evidence Is Needed To Evaluate Biomarkers And Measurements?

  During this virtual presentation from the 2020 Digital Biomarkers & Digital Measurements Summit, industry thought leaders from ActiGraph, Atlantic Council, Elektra Labs, and NeuroLogica answer key questions around the evaluation and evidence required to select digital clinical measures.

• Understanding International Data Transfer’s Impact

  The landscape of data privacy is certainly dynamic and, at times, imposing. In particular, transferring data across borders can be difficult to navigate. Does your journey to responsible and compliant data governance seem daunting? This blog post explores some of the data privacy implications and their impact on research.

• Objective Scratch Assessments Using Digital Health Technologies (DHTs)

  This white paper explores how an objective scratch measure is now achievable through the use of wrist-worn wearable technology that is both non-invasive and easy to implement.

• In Lockdown: Are We Accounting For Changes In Patients' Mental Health In Global Patient Data Collection?

  11/9/2020

  Research shows that data collected from a patient in a clinical trial can be impacted by mood. The purpose of this blog post is to explore the tools we currently have and uncover the hidden complexities of a patient’s environment that may not have been considered before. We will suggest new strategies and tools to augment and amplify the patient’s voice during this pandemic.

• Top 10 Things To Look For In A Data & Analytics CRO Partner

  1/10/2022

  Here's a list of questions and considerations that can help in making the award decision and preparing to work with a data and analytics CRO specialist.

• 5 Reasons Life Science Companies Are Moving To The Cloud

  9/30/2021

  Many life science companies, especially in the pre-revenue startup phase, think that ERP is too costly, or too complex for a business of their size. But the real question is, why should life sciences companies move to the cloud at all? 

• Leveraging Clinical Trial Data In Real Time To Effect Change And Mitigate Risk

  1/19/2022

  Learn how clinical trial data gathering, contextualization, and analysis can all benefit from existing — but underutilized — technologies and resources.

• Expanding The Life Sciences Territory With AI

  9/20/2021

  Life sciences companies are rapidly adopting artificial intelligence (AI) and machine learning to become more agile and insight-driven. With today’s cloud software systems and AI applications, you can benefit from AI to deliver research results sooner and with greater confidence. Sikich life sciences technology and expertise helps make this happen.