AI-powered Solutions to Create an Ecosystem of Connected Laboratories for Superior Collaborations and Efficiencies

Frost & Sullivan's latest article, The Pharmaceutical Research and Development Laboratory of the Future, explores strategies to integrate digital and automated systems in research and development (R&D) laboratories and their impact. The article also highlights the role of artificial intelligence (AI) solutions to enable a smart laboratory ecosystem. Frost & Sullivan's latest article, The Pharmaceutical Research and Development Laboratory of the Future , explores strategies to integrate...

Frost & Sullivan's latest article, The Pharmaceutical Research and Development Laboratory of the Future, explores strategies to integrate digital and automated systems in research and development (R&D) laboratories and their impact. The article also highlights the role of artificial intelligence (AI) solutions to enable a smart laboratory ecosystem.

To download the complimentary article, please visit: http://frost.ly/652                 

"Connected laboratories have increased access to global scientific experts and highlight the need for pharmaceutical companies to reskill or upskill their own workforces to maximize the value of each resource," said Dennis Kimmel, Senior Consultant, Healthcare at Frost & Sullivan. "With greater use of AI-powered solutions, laboratories can foster more effective collaboration, increase the number of new candidates entering the pipeline, and offer better flexibility of staffing assignments. This digitalization, in line with Industry 4.0, can enhance transparency, quality, and safety and enable more intelligent approaches to pharmaceutical development and manufacturing."

" Thermo Fisher is exploring the role AI can play in enabling smarter, connected scientific instruments to close the skilled personnel gap," noted Andreas Huhmer, Senior Director Global Vertical Marketing at Thermo Fisher Scientific. "Building a laboratory ecosystem that connects people, instruments, and software will require the right capabilities and tools. This means enabling scientists to manage their analytical data and workflows, perform analysis on data from multiple instruments within a single system, and maintain data integrity."

To tap into the "Laboratory of the Future" growth opportunities, market players should:

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