Unlocking the Power of AI and Machine Learning in Life Sciences

Life sciences companies are putting artificial intelligence (AI) and machine learning (ML) into practice, realizing its potential to revolutionize adverse event detection, diagnostics, and more. For AI and ML to be truly effective, you need to give context to your data, teaching...

Sponsor Strategy for Controlling Content and Language Complexity

Modern clinical trials span multiple sites and locations, requiring intense communication, documentation, and data management. As a result, many trial sites operate under a vast constellation of vendors to address patient, process, and regulatory needs, yet the external support...

Omnichannel Marketing for the Pharmaceutical Industry

With rapid globalization and expanded marketing efforts, pharmaceutical organizations are discovering that pivoting from multichannel marketing to omnichannel marketing is key to revolutionizing patient engagement. Through tailored experiences across relevant channels, your teams...

Intelligent Automation for MDR & IVDR Content: Summary of Safety & Clinical Performance (SSCP), Summary of Performance (SSP), and Selected Labeling

Content requirements under the EU’s MDR and IVDR, including the translation of labeling, marketing, SSCPs, SSPs, and clinical communications, are set to dramatically increase. Currently, most device manufacturers use manual processes and document-based applications like Microsoft...