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Artificial Intelligence involves the science and engineering of developing intelligent machines
The manufacturing world is at a cusp of a new revolution that will redefine conventional business models
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Artificial intelligence (AI) can be used to streamline drug discovery and drug repurposing processes, helping in reducing the time to market, and subsequently reducing the cost. Using AI, informed, critical decision based on logical reasoning can be made autonomously without human intervention, at a very high speed. AI helps in developing deep and complex correlations between disease and biomolecules. In drug discovery, AI is used in identifying disease marker and for predicting the mechanism of action. A deep neural network can help in discovering novel lead molecules with the desirable efficacy and safety profile. In clinical trials, AI can be used to automate the drug safety process, helping in pharmacovigilance. AI is relevant for all therapeutic indications. This digital technology is indication agnostic. This edition of the Future Tech TOE highlights the latest advancements in AI technology arena that are empowering the pharma industry to innovate across every level of the value chain. The TOE provides an overview of the key trends, drivers, and challenges pertaining to the adoption of AI in pharma, status of AI in the pharmaceutical industry, key industry initiatives and funding landscape, major partnerships in the space, key innovations related to drug repositioning, drug discovery and clinical trial management. The study also offers analysis of patenting trends revolving around various geographics under the technology and key spending of top Pharma companies toward AI projects.The Future Tech TechVision Opportunity Engine (TOE) captures emerging innovations in research and development, or profile existing technologies which have seen a resurgence in terms of new markets and applications. It usually provides a technology overview, drivers, challenges, research and development, analyst insights and key patent information. In some cases, technology convergence scenarios and future growth opportunities are outlined. It covers innovations and technologies in a variety of industry spaces including manufacturing, sensors, electronics, information and communications technologies, networks, lighting technologies, healthcare, medical devices, materials and coatings, and developments in the energy sector that contribute toward a sustainable and greener world.TechVision Information & Communication Technology cluster provides global industry analysis, technology competitive analysis, and insights into game-changing technologies in the wireless communication and computing space. Innovations in ICT have deeply permeated various applications and markets. These innovations have profound impact on a range of business functions for computing, communications, business intelligence, data processing, information security, workflow automation, quality of service (QoS) measurements, simulations, customer relationship management, knowledge management functions and many more. Our global teams of industry experts continuously monitor technology areas such as big data, cloud computing, communication services, mobile & wireless communication space, IT applications & services, network security, and unified communications markets. In addition, we also closely look at vertical markets and connected industries to provide a holistic view of the ICT Industry.Keywords: Artificial intelligence for pharmaceutical, drug discovery, drug repositioning, drug target identification, clinical trial management, medicinal chemistry, biostatistic, computational chemistry, patient recruitment, biomarker, pre-clinical, immuno-oncology, natural language processing, machine learning, deep learning, cognitive computing
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