Artificial Intelligence Machine Learning Pharmaceuticals Technical Review 
OTS Solutions
JUNE 3, 2022
Technology has proven important in maintaining the healthcare industry’s resilience in the face of so many obstacles. The healthcare business has embraced numerous technology-based solutions to increase productivity and streamline clinical procedures. The intelligence generated via Machine Learning.
CIO
SEPTEMBER 18, 2023
When the timing was right, Chavarin honed her skills to do training and coaching work and eventually got her first taste of technology as a member of Synchrony’s intelligent virtual assistant (IVA) team, writing human responses to the text-based questions posed to chatbots.
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CIO
AUGUST 11, 2023
Natural language processing definition Natural language processing (NLP) is the branch of artificial intelligence (AI) that deals with training computers to understand, process, and generate language. Search engines, machine translation services, and voice assistants are all powered by the technology. Amazon Comprehend.
CIO
NOVEMBER 11, 2022
Three years ago, Johnson & Johnson (J&J) set out to apply intelligent automation (IA) to every aspect of its business. By combining RPA with machine learning (ML) and artificial intelligence (AI), they sought to automate more complex tasks. But organizations like J&J wanted to take automation further.
N2Growth Blog
OCTOBER 23, 2023
With the constant advancements in technology and research, businesses in this sector require leaders who possess a deep understanding of the scientific landscape and the business acumen to drive growth and innovation. The life sciences industry is known for its unique challenges in recruiting and hiring.
AWS Machine Learning - AI
FEBRUARY 6, 2024
Bringing innovative new pharmaceuticals drugs to market is a long and stringent process. A key part of the submission process is authoring regulatory documents like the Common Technical Document (CTD), a comprehensive standard formatted document for submitting applications, amendments, supplements, and reports to the FDA.
TechCrunch
JUNE 22, 2021
The future of deep-reinforcement learning, our contemporary AI superhero. Although the IPF project has not been fully published in a peer-reviewed journal, a similar project published in Nature Biotechnology was. In that paper, Insilco’s deep learning model was able to identify potential compounds in just 21 days. .
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