Newsletter | March 3, 2023

03.03.23 -- 4 Pitfalls To Avoid When Starting Your AI/ML Journey

 
     
 
     
 
Trial Monitoring
     
Should We Build Or Break Skill Silos In Clinical Trials?
 
 

We tend to forget to talk about the knowledge and skill silos in clinical trials that we have built over the years. This article describes how the industry got to where we are with narrow specialization and recommends five strategies to break skill silos.

 
 
 
 
     
Risk Management For Biotech Companies In Clinical Trials
 
 
Alex Watt, global head for biotech integrated laboratory solutions, and Alan Wookey, the global head of companion diagnostics, discuss how to manage both scientific and operational risk in clinical trials for biotech companies.
 
     
Improving Sponsor Oversight Of The Trial Master File
 
 

In the face of increasing documentation requirements and trial complexity, discover how global biopharmaceutical company Chiesi and its CRO partners collaborated to ensure ongoing oversight compliance.

 
     
Quality Management Solutions
 
 
Configurable and connected quality management solutions securely track and manage incident and complaint logging, case investigations and processing, CAPAs, compliance documents, and audits.
 
     
     
 
Clinical Data Management & Analysis
     
4 Pitfalls To Avoid When Starting Your AI/ML Journey
 
 

With the transforming artificial intelligence (AI) landscape in conducting clinical trials, it is important your company take action to maximize your returns. Identify a small number of high-impact AI use cases and prioritize these use cases based on feasibility within each department to avoid these four key pitfalls.

 
 
 
 
     
The State Of Black Participation In Clinical Trials
 
 

The need to design trials enrolling more demographically diverse patients is widely recognized. Learn why implementing effective, sustainable, and scalable enrollment diversity strategies remains a challenge for biopharmaceutical companies.

 
     
Leveraging Machine-Learning For SDTM Mapping
 
 

The Clinical Data Interchange Standards Consortium (CDISC) Study Data Tabulation Model (SDTM) represents trial data in a standardized format for review, but could its preparation be automated?

 
     
Simplify Your Clinical Data Flow To Streamline And Automate Modern Data Review
 
 

Examine the three reasons why simplifying your clinical data flow can increase operational oversight, shorten data management cycle times, and reduce the manual burdens on data management teams.

 
     
Clinical Trial Biometrics
 
 

Our industry-leading clinical analytics experts build tools and solutions that efficiently facilitate data management and biometrics activities. By providing advanced services and automating technology, we're able to maximize efficiency, ease interpretation, and deliver actionable insights.

 
     
     
 
Choose Your Own Adventure
 
 

You're receiving the Friday edition of the Clinical Leader newsletter, focusing on Clinical Data Management & Analytics and Trial Monitoring. To make changes to your newsletter selections, update your topic preferences.

  • Clinical Sites | Patient Centricity | Patient Recruitment (Monday)
  • Clinical Trial Technology (Tuesday)
  • Decentralized Trials | Trial Management (Wednesday)
  • Outsourcing Models | Regulatory & Compliance (Thursday)
  • Clinical Data Management & Analytics | Trial Monitoring (Friday)

Learn more about our personalized newsletters here.