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Step into the future of life sciences at the TCS Life Sciences Forum 2024 London.

Conference at a glance

The TCS Life Sciences Forum held on Sept 30, 2024 at London Pace Port™ brought together industry thought leaders, researchers, and innovators to explore the transformative impact of AI in clinical R&D and pharmacovigilance. The forum was not just a platform for collaboration; it was a celebration of our progress and a glimpse into the future of what we can accomplish together. Our shared goal was clear: to make industry processes more efficient, effective, and accessible to everyone around the world. The forum was hosted by TCS ADD™, a suite of AI-powered platforms that enables digital ecosystems, simplifies data complexity and provides faster access to new and effective medicines & therapies for patients in need.

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Key takeaways from the forum

Customer Speaking Session - The Future of PV – an Onward Journey

Innovation is transforming processes and technology, motivating all of us to think out of the box.
The current PV landscape has changed with the adoption of AI, LLMs, translation tools, PRLs, content guidelines, rule-based automation and RPA.

Customer Speaking Session - AI-driven Automation in PV: Present & Future

The question isn’t whether to implement AI automation, but how soon. The faster you adopt it, the quicker you’ll start seeing results.
Top pharmaceutical organizations has achieved measurable business results through optimized case processing automation and proactive signal detection, empowered by advanced digital solutions like the AI-based TCS ADD™ Platform.
As machine learning (ML) matures, it will enhance accuracy by using closed cases for model training, allowing the system to continuously improve over time.

Generative AI: The AI Powershift

Rapid evolution of technology and AI with the importance of prioritizing use cases objectively with a scoring framework.
Growing importance of Gen AI which is fundamentally about dealing with natural language.
TCS POV of AI first Business Architecture from tasks being predominantly human, to utilizing AI to assist, augment and transform employee roles and customer experience.
Enterprise AI (and specifically, LLMs, Gen AI) uses cases in life sciences value chain.

Key takeaways from Round tables

Round table 1 - PV & AI: Impact on Patient Safety & Case Processing

Use of AI in PV and the impact on the current operational models of companies that have adopted AI.
The use of GenAI and LLM models when processing safety data and compliance with GVP.
Challenges faced with AI adoption, scalability of PV platforms and developing LLM models for safety case intake.
Moving from pilot to production when implementing AI platform.
RoI implications.

Round table 2 – Reimagining Data Flow from Protocol to CSR with AI

AI-enabled acceleration of end-to-end data flow in the clinical trial lifecycle, illustrated with a case study.
GxP compliance of Gen AI models and Ontology use in drug discovery and insights.
Internal quality system challenges in moving the Gen AI POCs into production.
Other Gen AI use cases like patient education material creation, personalized products, focused campaigns and impact on drug discovery.

In Conclusion

AI requires strict human governance to ensure it operates within ethical boundaries, remains accountable, and minimizes risks to society.
AI has transformed daily life and work, making tasks easier and opening up new possibilities.
Reimagining business processes with technological support.
Successful customer stories through Pace Port™.

Thank You to All Participants

We’re grateful to the speakers and attendees whose contributions made the forum a success. Together, we are setting the foundation for a more intelligent, ethical, and efficient approach to drug development and patient safety.

For further details, please visit us on TCS ADD™ or contact us at add.platform@tcs.com.

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Step into the future of life sciences at the TCS Life Sciences Forum 2024 London.

Conference at a glance

Round table 1 - PV & AI: Impact on Patient Safety & Case Processing

Round table 2 – Reimagining Data Flow from Protocol to CSR with AI

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