Using Technology and Talent to Unlock Value and Cost Savings in Patient Services

Artificial intelligence (AI) can improve risk assessment and decision-making in drug development by applying objective, data-driven criteria consistently. Companies should focus on the quality of data, selecting the right AI use cases, and leveraging external partners to maximize the potential of AI.

Explore the latest pharmaceutical validation developments with industry experts from Barry-Wehmiller Design Group, Kneat Solutions, and No Deviation. You’ll gain valuable data-driven insights and discover emerging trends from the State of Validation 2024 industry report that are shaping the validation landscape.

In the pharmaceutical industry, patient engagement should be centered in health education, communication, and strategy during drug discovery and throughout the product lifecycle. Cheryl Lubbert, CEO of Reverba, discusses the importance of a patient-first mindset in the industry.

Ecolab is looking to the future with new opportunities to partner with Pharma for critical solutions to support drug development and manufacturing.

As today’s labs continue to evolve, the software solutions that support them must too. Likewise, laboratory and organization leadership must be open to the advance¬ments available to them from modern technologies. In this white paper, learn how a SaaS-based LIMS modernization program optimizes data management, fosters collaboration, and improves decision-making to stay at the forefront of scientific innovation.

Innovation is the engine that powers a company’s growth and product development, and for enterprises with R&D laboratories, those lab environments are the greatest source of this innovation. In this white paper, learn how a platform approach to scientific data management, including semantic search, advanced analytics, and lab automation, leads to better enterprise decisions at the executive level, optimized lab performance, more discoveries, and stronger product pipelines.