datafoundry, Author at Leading Cloud-Based AI for Life Sciences | AI for Healthcare - Page 2 of 4 Leading Cloud-Based AI for Life Sciences | AI for Healthcare
Apr 24th, 2024

Addressing Challenges in Safety Signal Management

Safety concerns associated with therapeutic intervention(s) and immunizations can be detected, analyzed, and minimized only through early identification and having proper risk minimization measures throughout the life cycle of a…

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Mar 18th, 2024

AI can revolutionize Multi-vigilance for Enhanced Patient Safety 

The healthcare landscape is a dynamic ecosystem, constantly growing with new drugs, cosmetics, nutraceuticals, and […]

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Feb 15th, 2024

Use of AI in Pharmacovigilance Automation 

  In the past few years, the domain of Pharmacovigilance (PV) (incl. Cosmetovigilance and Materiovigilance) […]

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Feb 8th, 2024

Five Reasons to Adopt an AI-Powered Literature Surveillance Solution for Pharmacovigilance 

In the rapidly evolving landscape of pharmacovigilance (PV), ensuring patient safety and health outcomes is non-negotiable. With the surge in…

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Jan 16th, 2024

The need for a Safety Vigilance BPaaS Model 

The challenges of Safety Vigilance in Pharma, Cosmetics, Devices, Vaccines and Nutraceuticals are creating a […]

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Dec 15th, 2023

Understanding and Harnessing the Exponential Growth of Life Sciences Data  

Navigating the Tsunami of Data According to a recent report by Arcadia Approximately 30% of […]

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Nov 29th, 2023

Power your Literature Surveillance with AI-driven Automation 

In the highly regulated landscape of pharmacovigilance (PV), ensuring patient safety and health outcomes is paramount. With increasing focus on…

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Sep 14th, 2023

Mastering PV Literature Surveillance: How Datafoundry’s Literature Monitor Tackles the Complexity of Adverse Event Identification  

Identifying adverse events from medical literature is one of the key tasks in pharmacovigilance (PV). It is also one of…

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Aug 24th, 2023

Optimizing Pharmacovigilance Literature Search: Automated Multi-Source Articles Import 

In the fast-evolving landscape of pharmacovigilance, staying ahead of potential adverse events (AEs) and ensuring patient safety is paramount. Manual…

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