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7 Burning Questions from Life Sciences Companies on Using AI Agents

HIT Consultant

Each day life science companies respond to numerous medical information inquires – many of which are similar in nature or can be simply addressed. It also seamlessly combines the human and AI-enabled agent workflows to deliver a powerful customer experience – one which is based on speed and quality of engagement and self-service.

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Nectar Opens First Brick-and-Mortar Allergy Clinic in NYC

HIT Consultant

What You Should Know: Nectar Life Sciences, the trusted health technology company behind the first hybrid, vertically-integrated allergy care platform, today announced the grand opening of its flagship Nectar Allergy Center, located in New York City. Nectar Life Sciences has appointed Dr. Shyam Joshi, M.D.,

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Reproducibility, Trust, and the Digital Laboratory

HIT Consultant

However, quality control of these instruments is generally done manually. That is certainly true when it comes to life science laboratories. George Plopper, Senior Lead Technologist: George Plopper is a leader in Booz Allen’s healthcare business. temperature, pH, flow rate).

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Use of Artificial Intelligence in Healthcare Industry in Mainland China

Triage Health Law

With breakthroughs in artificial intelligence (“AI”), the healthcare industry has experienced rapid development. These policies encourage and guide the integration of AI, such as natural language processing and machine learning, with various aspects of the medical and healthcare industry.

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The Self-Driving Clinical Trial: Optimizing Research with AI and ML

HIT Consultant

The power and potential of artificial intelligence (AI) and machine learning (ML) in the healthcare industry are unparalleled. Technologies like optical character recognition (OCR), natural language processing (NLP) and deep neural networks are used to help format data easily.

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How Intelligent Document Processing (IDP) Revolutionizes Clinical Trials

HIT Consultant

Gary Shorter – Head, AI and Data Science, IQVIA Technologies In the healthcare ecosystem, automation and data intelligence continue to gain momentum as artificial intelligence (AI) and machine learning (ML) are integrated to streamline and accelerate processes. This will speed up data collection and quality control processes.