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Sudeep Pattnaik, CEO & FounderAll the ThoughtSphere’s platforms work based on their inbuilt algorithms to interpret the unstructured, semi-structured or structured data and amalgamate them. To do so, the company has designed their data platform ‘ClinDAP’ that accommodates the volume, veracity, and velocity of the data for drug R&D by using machine learning and deep learning algorithms. ThoughtSphere has also built an oversight analytics platform—ClinACT— to monitor and manage drug R&D risks. This platform provides quality insight into the drug development studies along with monitoring and managing the risks associated with drug clinical trials. Additionally, ClinACT’s eager learning and fuzzy distance algorithms enable the platform to learn from every drug research it has been used for and apply its knowledge to newer studies in similar therapeutic areas, based on the prior learning experience.
ThoughtSphere also offers a life science R&D financial lifecycle management platform— SPACE—that performs budget planning and automates payment cycles for clinical trials along with the agreement execution between pharma companies and sites/investigators.
Technology itself cannot solve all the challenges that arise in the pharma industry; it can only act as an enabler to do the same, and we have developed our services around that fact
“Our platforms–SPACE and ClinACT—can be combined to deliver a distinct payment service in the pharma market. This union allows data quality triggered auto payments for Sites/Investigators if site maintains an appropriate level of quality and timeliness of the data,” explains Pattnaik.
Furthermore, to automate numerous manual activities involved in clinical trial data management, ThoughtSphere provides its customers a data science-driven workbench, DMSphere. This tool addresses the discrepancies that arise when disjointed data from various data collection systems and platforms are integrated for various clinical research activities. Moreover, ThoughtSphere has developed a Business Intelligence (BI) tool to offer users the ability to slice and dice data in near real time. This tool can be further integrated with ClinACT to provide ad-hoc reporting and ad-hoc analytics to the end users.
With its flexible approach toward managing clinical researches, ThoughtSphere assisted one its clients to reduce their study oversight and monitoring related expenses by 30 percent. Along with that, the client also observed a 55 percent gain in faster start-up time for the R&D process of the study data for early issue detection with the help of ThoughtSphere.
ThoughtSphere invests majority of its capital in product development and further envisions working toward the development of machine learning, natural language processing, and AI-driven automated clinical study build. “Our goal is to be among the best Vertical Cloud BI Solution to power Data Driven Decisions and improve Clinical R&D Outcome using Artificial Intelligence, Machine Learning & Data Science” concludes Pattnaik.
ThoughtSphere Takes Next Step Toward End-to-End Delivery of Clinical Data Operations
Wednesday, February 14, 2024
ThoughtSphere, a leader in clinical data AI solutions, announces the release of several new features including its first-in-class ADaM Package Generator.
SAN JOSE - ThoughtSphere is pleased to announce the launch of several new and improved features on its platform, marking a significant stride toward its goal of becoming the premier AI-enabled Data Operations Platform for clinical trial execution.
The latest enhancements include a groundbreaking ADaM Submission Package Generator and a user-friendly Drag and Drop TFL Designer, aiming to transform the landscape of data delivery. In conjunction with the platform's existing capabilities (outlined below), these additions establish a collaborative and efficient end-to-end ecosystem for the execution of clinical trials.
• Integration with leading data capture platforms
• Automated cross-study data aggregation
• AI/ML SDTM generation and data standardization
• Role-based data visualizations and dashboards
• Workflows for medical data review
• Safety data reconciliation
• Query management generated by AI/ML
• RBQM capabilities with flexible end-user options
“Expanding our biostatistics and data delivery capabilities was the next progression of the product suite to support end-to-end clinical trial data operations,” said Barinder Marhok, Chief Commercial Officer, ThoughtSphere. “For years the industry has dealt with delays and high costs in specification & dataset generation. Despite significant investments to automate the processes of SDTM, SDTM Define, ADaM and TLF generation, limited success has been achieved due to various obstacles. Our platform removes those obstacles and uses the power of Gen-AI to provide a streamlined and cost-effective approach for dataset generation. By leveraging integrated open-source programming languages, and the platform’s unparalleled data transformation engine, organizations can see a 40% increase in efficiency and a significant reduction in technology costs.”
Additional new features and improvements now accessible include:
• Analytics builder & oncology report package
• Auto-detect query generation
• Incremental listing review & collaboration workflow
• Automated clean patient tracking
• Outbound data configurator
ThoughtSphere is leading the way in a novel approach to drug development, breaking away from isolated systems and offering a fully integrated, AI-enabled collaborative platform to support project teams presently and lay the groundwork for profound AI learning in the future. Pankaj Manon, Chief Technology Officer at ThoughtSphere, emphasizes, "Incorporating AI into clinical trial processes is crucial for optimizing therapeutic area insights, protocol design, study oversight, and the subsequent clinical data review and processing tasks."
“We are leveraging cutting-edge Generative AI technology to provide game-changing automation capabilities that will accelerate clinical trial processes. We are enthusiastic about the transformative impact this advancement will have on drug development and ultimately the patients.”
If you are curious about discovering how an AI-enabled technology platform can expedite data operations within your organization, explore the content below to gain insights into the ThoughtSphere integrated clinical data platform and explore its comprehensive array of end-user modules.
Company
ThoughtSphere
Management
Sudeep Pattnaik, CEO & Founder
Description
Helps pharmaceutical companies and CROs reduce their development costs and identify risk in clinical trials
