Crowne Plaza Geneva, Switzerland | 14 - 15 May 2025 | Booth #21
Agile and safe clinical trials are key to faster drug development
The need to synthesize data from different sources increases the risk of regulatory non-compliance for pharma companies. As a result, they face an exponential increase in clinical research and development costs, sub-optimal clinical trial execution, and delays in launching new, approved drugs. TCS ADD™ enables digital ecosystems, simplifies data complexity, and drives innovation in clinical trials to bring drugs to market faster.
Sites implemented globally
Clinical trials supported
Regulatory compliance
Efficiency improvement
Reduction in drug monitoring efforts
Quicker decision-making with real-time access to data
Faster drug registration with adaptive trial design
Improved data quality with advanced analytics
Unified platform for sites, patients, and regulators
A ready-to-use, interoperable metadata-driven AI platform that automates study build, enables robust governance, and rapidly transforms and generates submission-ready datasets
A one-stop, integrated, cloud-deployed, self-service solution that caters to all data management needs of pharma
Our AI-driven risk-based-quality-management (RBQM) platform is transforming clinical trials through comprehensive risk assessment, monitoring, and mitigation.
Read how TCS ADD™ Connected Clinical Trials, a decentralized clinical trials platform, makes trials patient-centric, site friendly, and digital by default.
TCS ADD™ Safety is an AI enabled system to automate PV case processing workflows with algorithm driven data extraction, coding, and duplicate search. By implementing the TCS system, our customers achieved accurate information resulting in significant efficiency improvements in the areas of case intake and data entry.
Read how the AI platform accelerates drug regulatory compliance that helps improve operational efficiencies and enables taking informed strategic decisions.
In order to accelerate clinical R&D and launch drugs faster to market, it is extremely important that science is complemented with easy-to-implement technology that is powered by artificial intelligence, data-driven smart analytics, and Internet of Things.
