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TCS is here to make a difference through technology.
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Industries
Life Sciences
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Patient-centered Care Models Taking Center Stage in Life Sciences
Read how patient-centric care models and pharma innovation are ushering new trends in life sciences to improve patient outcomes and enrich lives.
Related Insights
Our regulatory affairs services encompass regulatory authoring, RIM, regulatory intelligence, and more to deliver high-quality submissions to health authorities.
Solution
23 Jul 2024
Join us at the forum to learn about generative AI in life sciences and how an AI-first mindset can reimagine the future of knowledge work. Register now.
Events
30 May 2024
In an interview with Newsweek, Debashis Ghosh of TCS explains how AI and digital twin are changing the future of drug discovery, development, and delivery.
Article
16 Jul 2024
Healthcare
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Patient-centered Care: Health and Wellness Redefined
TCS’ research and innovation enable healthcare firms to focus on patients’ health and wellness, and provide high-quality personalized, value-based care.
Related Insights
Read the importance of cybersecurity in healthcare and how organizations can safeguard their network and data against these evolving threats and data breaches
White Paper
25 Sep 2020
TCS helps in the cloud adoption & transformation in healthcare & built the new Inventory management solution to enhance AmerisourceBergen’s UX. Read more.
Case Studies
16 Aug 2022
Solutions
TCS TwinX™
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Enterprise Digital Twin Platform for Risk-Free Business Experiments
TCS TwinX platform helps organizations to build their enterprise digital twins by modelling key enterprise entities for a seamless customer journey. Learn how.
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TCS and TM Forum are developing a Decision Intelligence framework to help communication service providers make faster, more accurate decisions and improve CX.
Blog
26 Oct 2023
Future technology will be based on digital twin technology. Learn how digital twin platforms can create positive transformation in both business and society.
Blog
15 May 2023
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.
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TCS’ End-To-End Offering for Decentralized Trials, TCS ADD™ Connected Clinical Trials Cited as a Key Strength
Press Releases
25 Oct 2022
Discover how Rule-based Automation and Machine Learning are combined to enhance PV efficiencies in the processing of pharmacovigilance data safety.
White Paper
18 Aug 2023
Join our Virtual Event, where experts from Merck, Schreiner and TCS discuss on implementable smart medication solutions in clinical trials backed by real life examples
Events
25 May 2021
An interview with Debashis Ghosh, President, Business Group Head, TCS
The confluence of technology and science is transforming the healthcare industry. The use of AI-powered digital twin technology has the potential to revolutionize healthcare by delivering precise and reproducible care without intrusion or risk. The shift toward in-silico methods, including digital twins and Generative AI (GenAI), is revolutionizing how we approach drug research and development.
GenAI facilitates knowledge synthesis, molecule design, and clinical trials, enhancing efficiency and accuracy. GenAI's impact is evident in expedited market entry, cost-effectiveness, and personalized treatment, paving the way for a more responsive, affordable, and tailored healthcare system in line with the emerging trends in precision medicine.
Streamlined processes, accurate drug design, and support for knowledge synthesis have accelerated the journey from discovery to development. GenAI is becoming a foundational technology for organizations which can be applied broadly across the healthcare value chain. TCS is investing strategically in GenAI and contributing to client success in healthcare research and development.
Debashis Ghosh
President, Life Sciences, Healthcare, Energy, Resources, and Utilities, TCS
GenAI holds immense potential to transform drug discovery from trial-and-error to a more predictable, efficient, and personalized approach. It can significantly reduce the time and cost of bringing new drugs to market by making clinical trial outcomes more predictable.
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