ABOUT THOUGHTSPHERE
At ThoughtSphere our mission is to provide a holistic AI-driven data platform to maximize clinical discoveries and bring effective and safe treatments to patients quicker. We offer technology solutions to address two of the biggest challenges in clinical trial operations: integrating disparate data and making that data accessible for cross functional end-users in a collaborative and automated environment.
Our omni-user platform streamlines the execution of clinical trials by using AI to harmonize data, automate processes, and perform data surveillance, resulting in increased efficiency, compliance, and quality of clinical trial delivery. Regardless of the trial design or the diversity of data sources utilized, ThoughtSphere provides a 360º data view and a “one-stop-shop” for cross-functional end-users. Additionally, our flexible platform allows organizations the option to use all our solutions in concert or to pick specific solution(s) to fit their needs. Founded in 2015 by Life Science IT experts, see why 25+ customers have successfully used our clinical data platform to conduct over 160 trials.
FEATURED CONTENT
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R&D Life Science Predictions: Exciting Trends To Watch For In 2024
From AI's broad operational impact to the adoption of innovative franchise models with SaaS providers, take a look at a few trends that could define life sciences in the coming year.
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Real Solutions To Simplify The Digital Data Flow
An efficient flow of complex data is critical for timely, informed decision-making during clinical trials. Explore four key strategies to simplify your digital data flow.
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Growing Pains: The Real Story Behind Gen AI Development In Clinical Trial Ops
As Gen AI develops and reaches advanced stages it introduces risks such as model hallucinations, which can affect trial accuracy and reliability. Explore how to address these challenges.
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Navigating The Pitfalls Of AI In Clinical Drug Development
AI promises faster drug development, but challenges like the Black Box Dilemma, data bias, and over-reliance on automation threaten its potential.
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Dear Clinical Data Reviewer, Listing Reviews Don't Have to Be Painful.
Struggling with cumbersome listing reviews? Discover how modern SaaS tech and collaborative workflows streamline data consistency for Medical Monitors and Data Managers.
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Leveraging Large Language Models For Business Automation
Unlocking the full potential of Large Language Models (LLMs) for operational workflows requires strategic selection and meaningful prompts. Let’s explore their application in business automation.
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Clinical Technology: Were You Sold A Ferrari When You Actually Need A Crossover?
Just as SUV crossovers have become popular for their practicality, the life sciences industry is adopting integrated clinical data platforms to enhance efficiency, collaboration, and cost-effectiveness.
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Efficient Data Aggregation And Oversight: A CRO Success Story
Explore how a full-service CRO and tech-driven life sciences provider streamlined data aggregation and clinical trial oversight, yielding significant time and cost savings.
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Breaking The Mold: How R Is Revolutionizing CSR Generation
The open-source statistical programming language R is becoming more popular in the life sciences sector for clinical study report submissions due to its cost-effectiveness, inclusivity, and collaboration.
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Emerging Biotechs: Clinical Data Platform Considerations To Lessen CRO Reliance
Explore the crucial factors necessary to evaluate clinical data platforms, leading to more streamlined and effective management of clinical trials.
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DCTs: Balancing Patient Accessibility With Data Reliability
Discover why ongoing dialogue and scrutiny are essential to strike a balance between patient-centered initiatives and the methodological rigor necessary for credible and reliable results.
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Implementing ICH E6 (R3) In A Risk Averse Culture
Get several pointers on how to facilitate a transition to an agile, multi-faceted, and continuous risk and issue management approach aligned with the Statistical Analysis Plan.
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Deciphering Fiction From Reality In The Technology B2B Sell Cycle
Gain insight from someone who has worked on both sides of B2B sales about choosing a technology partner and what you should look for in a vendor.
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Applied AI For Enhanced Clinical Data Operations
Explore AI use cases and practical applications to accelerate and advance clinical trial operations through data interoperability, automation, and data surveillance.
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Maximizing Clinical Data Interoperability And Accelerating Trials
Observe how meta-data-driven systems yield fresh data insights and empower seamless synchronization and automation of data review workflows, redefining the landscape of clinical research.
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FDA Covariate Adjustment Guide: What Non-Statisticians Should Know
Non-statistical team members are encouraged to read this summary regarding the FDA’s guidance to better understand and support covariate adjustments applied in clinical trials.
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The Evolution From Data Integrity To Data Quality
Consider these three factors when transitioning to a more robust and quality-driven data cleaning and central monitoring strategy.
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Are You Aiming For The Bullseye Or Just The Target?
Learn what this author has to say about focusing on a clinical trial's outcome when developing Risk-Based Quality Management strategies.
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Closing the Gap Between C-Suite Vision And Operational Reality
Unearth how biopharma companies are bridging the gap between C-suite members and clinical operations with these scalable and practical solutions.
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Implementing And Scaling Data Platforms For Streamlined Delivery
Dive into this three-stage execution plan established by a CRO that allowed organizational and process changes to occur in lockstep with a risk-based quality management platform rollout.
CONTACT INFORMATION
ThoughtSphere
99 S Almaden Blvd. Suite 600
San Jose, CA 95113
UNITED STATES
FEATURED SOLUTIONS
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Stop spending thousands of man-hours on SDTM, ADaM and TFL generation and accelerate the delivery of clinical discoveries to patients. Transform your biostatistics deliveries with ThoughtSphere.
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ThoughtSphere’s data orchestration platform provides an end-to-end trial execution solution to take you from the ingestion of data to the creation of submission datasets the platform uses AI.
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Unleash the power of unified data and processes with a solution that allows data ingestion automation, applies AI-driven analytics, synchronizes cross-functional review cycles, and generates data faster.
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Discover why AI-driven data transformation and process automation are essential for biostatisticians to efficiently standardize data, generate analysis datasets, and streamline regulatory submissions.
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Revolutionize your clinical data management with AI-driven efficiency, advanced data integration, and streamlined workflows for faster submissions and cost savings.
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Unlock the full potential of clinical data with ThoughtSphere's MAP module. Integrate real-time and historical data seamlessly for advanced AI/ML modeling and dynamic statistical analysis.
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Check out this all-encompassing module that simplifies and automates the medical review process, allowing medical monitors to prioritize the most crucial aspect – patient safety.
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Uncover how this approach ensures timely actions and escalations when needed, fostering a streamlined and proactive approach to trial management.
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Empower teams to streamline manual processes, boost efficiency, and enhance the speed and precision of safety case reporting through the automation of synchronization and reconciliation.
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Discover how ThoughtSphere’s SPACE solution can cultivate these important partnerships by accelerating payment cycles, reducing financial errors, and enhancing relationships through collaboration, transparency, and more.
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Discover how organizations can better visualize, analyze, and distribute aggregated and harmonized data to support study oversight, data analyses, and clinical reporting needs.
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Learn how ThoughtSphere’s comprehensive RBQM facilitates the complete risk lifecycle from risk identification through issue resolution with automated triggers and configurable user workflows.
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Built for clinical data management professionals, our data quality management workbench ensures data quality and facilitates data management activities through AI and automation.
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This AI/ML-powered data lakehouse is ideal for sponsors and CROs seeking to gather and synchronize clinical and operational data across studies and accelerate digital transformation.