Biotech, Pharmaceutical, and Life Sciences companies face significant challenges in integrating data from a variety of sources. Drug research and testing is one of the biggest data producers and the inability to ingest, structure, and search data from labs, CROs, and the field make data interpretation a highly inefficient process.
Aventior’s DRIP uses a combination of complex machine learning (ML) and rule-based algorithms to automate the data ingestion, integration, and formatting. Using proprietary pattern recognition algorithms and metadata comprehension, DRIP builds a consolidated database of research data and lab results. Irrespective of the nature of the source data (structured or unstructured) DRIP is capable of transforming the source data into a usable format while maintaining strict control over the quality of data transformation. The platform also enables data visualization and exploration using its own extension, that can be hosted on cloud platforms.
DRIP also supports integration with some of the leading data visualization platforms such as TIBCO Spotfire and Tableau or custom R/Shiny applications.
Market research report published by MarektsandMarkets "AI in Computer Vision Market analyzes the AI in Computer Vision Market by Component (Hardware, Software), Vertical (Automotive, Sports & Entertainment, Consumer, Robotics & Machine Vision, Healthcare, Security & Surveillance, Agriculture), and Region - Global Forecast to 2023", the AI in computer vision market is expected to be valued at USD 3.62 Billion in 2018 and is expected to reach USD 25.32 Billion by 2023, at a CAGR of 47.54% between 2018 and 2023.The increasing demand for computer vision systems in non-traditional and emerging applications and growing demand for edge computing in mobile devices are among the factors driving the growth of the market.With the increasing labor cost in the security market and use of robotics in the healthcare industry, AI-based computer vision systems are being used for many applications.
Hardware expected to grow at a high rate during the forecast periodThe key factor driving the growth of hardware in the AI based computer vision market is the growing penetration of AI-capable processors in mobile devices, such as smartphones, drones, automotive, and consumer electronics devices.
The major focus is to overcome challenges faced by industrial drones in terms of reliability, safety, and autonomy.
Major players operating in the AI in computer vision market includeNVIDIA (US), Intel (US), Qualcomm (US), Apple (US), Alphabet (US), Microsoft (US), Facebook (US), Wikitude (Austria), Xilinx (California), Basler (Germany), Teledyne Technologies (US), Cognex (US), General Electric (US), and Avigilon (Canada).
The company continues to lead in the development of new products for the AI in computer vision market.
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Apart from cancer, it has the potential to treat other diseases caused due to genetic disorders.
Such changes are known as genetic mutations and can also be passed on to future generations.
In the case of gene therapy, new genes are introduced, or existing defective genes are replaced or inactivated within the cell.
Scientists are exploring the different aspects of the therapy, its efficiency, and the risk involved.
For the commercialization of cell and gene therapy, we need to consider regulatory guidelines, manufacturing, patient education, logistics, and more.
A shift to automated processes to reduce operator handling will reduce the risk of contamination.
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