October 13-14, 2025 | Loews Nashville at Vanderbilt Plaza, Tennessee, United States
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13 Oct 2025 TCS at 2025 CDISC + TMF US InterchangeView all29 Sep 2025 TCS BaNCS and Quartz at SIBOS 2025, Frankfurt -
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Products and Platforms
TCS ADD™
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TCS ADD™: A Suite of Modern and Open Technology Platforms
TCS ADD™ is a suite of modern and open technology platforms for clinical research and drug development that helps make clinical trials more agile and safe.
Related Insights
Join us at the event and know how TCS’ AI/ML-driven platform digitizes clinical research and automates the clinical value chain from protocol to data collection.
Events
13 Oct 2025
Connect with our PV experts to know how our purpose-built AI-driven PV platform helps life sciences organizations drive efficiency and enhance patient safety.
Events
04 Nov 2025
Join us at the life sciences event to learn how AI and generative AI can accelerate next-gen clinical R&D and enhance patient safety. Register now for the event.
Events
07 Aug 2024
Score seamless clinical data flow with AI-led TCS ADD™ Metadata Repository platform: From protocol to CSR
The 2025 CDISC + TMF US Interchange is a premier industry event bringing together global sciences professionals, including leading pharmaceutical companies, regulatory agencies, and technology providers.
TCS is participating as a Ruby sponsor at the 2025 CDISC + TMF US Interchange. You can explore how we automate the clinical value chain from protocol and data collection to submission with the TCS ADD™ Metadata Repository platform at the booth 15.
TCS expert sessions:
Sponsored speaking session:
October 13, 2025 | 13:30 – 13:45 ET | Session 3: Track C - AI innovation challenge
AI/ML-driven platform that advances the digitization and automation of clinical research using CDISC standards.
Expert speaking session:
October 13 | 16:00 – 16:30 ET | Session 4A: Digital study design
Session title: Accelerating digital data flow through connected standards-driven automation and AI
Diving into the vital role of metadata governance for seamless, and digitally empowered clinical trials and unveiling how AI and ML redefine metadata management. This is accomplished by automating standards creation, enabling precise traceability, and preserving lineage across clinical data standards transforming the complexities of data into a manageable, streamlined flow.
Speakers:
Mayank Bhatia
Head, TCS ADD Metadata Repository, TCS
Mayank Bhatia has over 22 years of clinical experience and is the Head of Product Strategy and Management in the TCS ADD™ Metadata Repository. His expertise spans building products and platforms, leading cross-functional teams, achieving operational excellence, and driving change for transformational programs. He has successfully led and delivered many large-scale and critical transformational programs. He holds a bachelor’s degree in computer science and is PMP-certified.
Prasoon Sangwan
Delivery Manager, Lifesciences, TCS
Prasoon Sangwan is a Business consultant for the TCS ADD™ Life Sciences Platform. She has over 18 years of experience and leads major clinical transformation programs, including risk-based dynamic monitoring, central lab modernization, MDR implementation, SDTM automation, and protocol digitization initiatives. Prasoon has authored a book on SAS Grid and published multiple papers in the clinical and SAS space. She also holds a patent on a high-performance computing environment.
What’s in store
This year’s program will feature critical discussions on AI-driven automation, regulatory compliance, the evolving landscape of clinical data standards in the European clinical research landscape, digital data flow, ADaM dataset optimization, ARS, and advancements in trial master file (TMF) management.
To schedule a meeting with our product experts, write to us @add.platform@tcs.com or meet us at our booth 15 at the 2025 CDISC + TMF US Interchange.
About us
TCS ADD™ Metadata Repository is a groundbreaking platform, a first for the industry to address challenges in metadata management and clinical study setup for the pharmaceutical domain. The platform optimizes workflows, enhances data quality, ensures compliance with industry standards, and accelerates study timelines. Key elements encompass end-to-end clinical metadata management (from data collection to tables, listings, and figures (TLF), intuitive mappings, real-time data accessibility, and AI-driven automation for generating submission-ready SDTM (study data tabulation model) and ADaM (analysis data model) datasets.
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