Search results for: 'pace to point learning platform'

A major challenge in drug discovery is the limited number of gene targets that can be targeted for the development of a drug molecule. Only close to 400 genes are proven targets for US FDA-approved drugs. 80% of human genes are unexplored as targets, and some are considered undruggable. The identification and the selection of novel drug targets (p...

This Frost & Sullivan research service analyzes the impact of Industrial Internet of Things (IIoT) technologies on Manufacturing Execution Systems (MES). This research also identifies some visionary companies that have developed best-in-class IIoT-enabled MES solutions. The manufacturing sector is shifting towards the execution of production operat...

This edition of the Life Science, Health & Wellness Technology Opportunity Engine (TOE) provides a comprehensive overview of breakthrough innovations reshaping diagnostics, therapeutics, and clinical workflows across infectious diseases, women’s health, metabolic disorders, neurodegeneration, oncology, rare diseases, and musculoskeletal care. It hi...

Regulators around the world have become stricter in their compliance and processes. Rising levels of regulation and challenging regulatory expectations are having significant operational impacts on financial services companies as they require talent, processes, and innovative solutions. RegTech solutions have the potential to make compliance more e...

17 May 2024  |  Global  |  Market Research

Growth Opportunities in US and European Hospital Workflow Digital Platforms and Solutions in Acute Care, Forecast to 2028

Integration of Clinical and Operational Solutions to Improve Patient and Provider Experience

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The COVID-19 pandemic exposed cracks in healthcare s clinical, financial, and operational processes. Efficiency has become a major focus as hospital systems strive to stitch healthcare networks together. From simple technological or software solutions to complex AI-driven predictive algorithms, healthcare institutions aim to improve automation and ...

09 May 2016  |  North America  |  Market Research

Automotive Voice Recognition Market, Forecast to 2022

Voice Biometrics, Virtual Assistant and Deep Learning Emerge as Major Market Disruptors

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Voice Recognition (VR) technology is primarily focused only on infotainment use cases. However, Original Equipment manufacturers (OEMs) and Tier-I suppliers are significantly investing in biometric and machine learning technologies. Even though OEM’s are trying to adopt cloud-based and hybrid solutions, they are still dependent on embedded solution...

The Internet of Things (IoT) extends Internet connectivity beyond traditional devices like desktop and laptop computers, smartphones, and tablets, to other devices that use embedded technology to communicate and interact over the Internet. IoT platforms are the building blocks of IoT solutions, offering multiple services such as application enable...

Manufacturers across verticals are confronting a skilled labor shortage. As they try to find a solution to this problem, augmented connected worker (ACW) platforms can be a key ally to train the new workforce and strengthen employee retention through comprehensive upskilling capabilities, skills management tools, and assistance throughout their shi...

Clinical decision support systems (CDSS) provide actionable information for improving the decision making abilities of the health professionals. However, the traditional CDSS platforms have drawbacks such as alert fatigue, diagnostic errors, workflow disruptions that can have detrimental effect on patients health outcomes as well as healthcare prov...