DATA MANAGEMENT
From Data Overload to Trial Insight With AI
AI-enabled clinical trial technology enables faster processing of large data volumes, thereby enhancing workflows, easing the burden on busy trial teams, and protecting patients.
Digging Through The Hype: Can AI/ML Assist Clinical Development?
AI has great potential to enhance the efforts of your team members by accelerating data interactions. Watch this webinar and discover how AI can improve clinical trial outcomes and data management.
Improving Supply Chain: Accountability, Sustainability, Optimization
Watch as industry experts explore the advancements in drug accountability facilitated through IRT, encompassing innovative methods for managing site variations and sustainable supply chains.
What Is 'Fit For Use' In AI Models?
The data that you use to train AI models has to be “fit for use” according to the FDA. Tala Fakhouri explains what metrics the FDA uses to make this determination.
Utilizing Curated Data To Boost Your Urology Research And Innovation
Obtain robust data from a reputable source to boost your urology research and propel your life science company's innovation in the urology space.
Qdata From Verana Health For HEOR And Medical Affairs
Obtain real-world data on patient demographics, treatment patterns, and outcomes to help inform your future business decisions.
Modernizing Clinical Research With AI And Digital Data
Discover how ActiGraph is revolutionizing clinical trials with patient-focused digital data and cutting-edge technology that enhances trial efficiency across all phases.
The AI Paradox In Clinical Trials
AI is advancing the way clinical trial results are analyzed and interpreted. But those advancements still depend on the quality and reliability of the data generated during the trial itself.
Streamline The Clinical Trial Disclosure Process
Core Data simplifies the registry submission and approval process by consolidating data for multiple registries into one single form, promoting consistency across registries and saving time by minimizing data entry.
Reporting To ClinicalTrials.gov: Reflections And Challenges
Who can reflect better on this topic than Dr. Deborah Zarin, former director of ClinicalTrials.gov? Dr. Zarin, now with the MRCT Center, shared her experiences and advice at the recent EXTRA: TrialScope Transparency Experience.
Revolutionize Data Access With An AI Powered Custom Listing Generator
Clinical teams can now access trial insights in real time using natural language to streamline workflows and accelerate decisions. Discover how to bridge data gaps with AI-powered tools.
Beyond The Data Deluge: Immune Profiling In Early Immuno-Oncology Trials
This presentation explores how to design effective immune monitoring for early-phase immuno-oncology trials, focusing on strategic platform selection, cost, and operational feasibility.
Medidata Clinical Data Management
By automating complex tasks, Medidata Rave simplifies clinical data management and capture. This leads to cleaner, more reliable data, allowing for quicker analysis and results.
AI In Clinical Trials What's New And What's Hype
Our third Clinical Leader Live on AI will go beyond the buzzwords to focus on what’s actually working in clinical operations.
The New Era Of Evidence Generation In Clinical Trials
Learn how top pharmaceutical companies are using novel innovations to drive greater speed, scale, and access in clinical research than ever before in this webinar hosted by Musaddiq Khan, Vice President of DCT Solutions at Medable.
How Biotech Gets Built With Professor Justin Stebbing
Navigate the complexities of biotech innovation by exploring how AI, the GLP-1 revolution, and shifting global trial trends are redefining the path to safer, more effective patient treatments.
Manage Exponential Data Growth With Medidata Clinical Data Studio
Bring study teams together like never before for total data quality oversight.
Harnessing The Potential Of Patient-Level Data In Clinical Trials
Join our panel of industry leaders as they explore innovative methods and best practices for incorporating fully consented patient data in clinical trials.
Make Sense Of Unstructured Data In Neurology, Urology, and Ophthalmology
Transform your data and, ultimately, patient outcomes across three major therapeutic areas: Neurology, Urology, and Ophthalmology.
Accelerate Clinical Insights: From Data Deluge To Decisions In Minutes
Unlock clinical trial insights in minutes, not months. Discover a platform that streamlines data review with AI-powered listings and visualizations to empower faster, smarter decisions.
Combining De-Identified EHR And Claims Data
Learn how EHR+ Data can improve your understanding of the patient's journey in ophthalmology, urology, and neurology clinical trials.
Beyond Clinical Trial Disclosure – The Ethical And Business Demands For Clinical Trial Transparency
The COVID-19 pandemic brings to light the ethics of getting information out more quickly than strictly required by regulation, or more thoroughly, as medical professionals, media and the general public are all looking for effective and safe treatments.
Improving The Quality Of Submitted Studies To ClinicalTrials.gov
Want to reduce QC comments? Hear tips from Dr. Deborah Zarin, former director of ClinicalTrials.gov, now with the MRCT Center. Dr. Zarin was keynote speaker at the recent EXTRA: TrialScope Transparency Experience.
Simple Description Of Clinical Analytics
Without teamwork, the best solutions still fall short. Unlock your clinical data's potential and transform chaos into clarity by starting with clear questions, adapting to insights, and fostering collaboration.
Pairing AI With High-Quality Data Leads To Clinical Success
While artificial intelligence (AI) is already impacting clinical trial planning, pairing AI with trusted data makes it even more powerful. Experts reveal how AI is being used today across feasibility, site selection, and trial strategy.
TMF Migrations: Streamlining The Journey To An Inspection-Ready Result
Delve into several techniques designed to safeguard data precision and integrity throughout the TMF migration process, reducing compliance risks and conserving valuable time and effort.
Amplifying Evidence With Unified Clinical Trial Data Collection
In this presentation, we explore the transformative potential of integrating a unified clinical trial data collection platform with intelligent automation, challenging the inadequacies of the status quo.
Accelerating Clinical Data Review With Traceable Workflows
Discover how streamlined workflows and enhanced collaboration between data managers and medical reviewers can boost clinical trial efficiency, improve data quality, and ensure patient safety.
2 Of The Most Impressive AI Applications
Elena Sinclair reveals the only two (out of 12) applications of AI in clinical development that McKinsey identified as decreasing costs, improving timelines, and increasing probability of success.
The Importance Of Reliable Data To Clinical Trial Activation
Find an easier way to identify and enroll eligible patients for your clinical trials with quality data and site selection.