Visiongain has published a new report on AI in Pharmaceuticals Market 2021-2031. Forecasts by Application (Drug Discovery, Precision Medicine, Medical Imaging & Diagnostics, Research), Technology (Machine Learning, Other Technologies), Offering (Hardware, Software, Services), Deployment (Cloud, On-Premises), by Region (North America, Europe, Asia Pacific, Latin America, Middle East & Africa), PLUS COVID-19 Recovery Scenarios.

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Key Questions Answered by this Report

Embracing Technology to Revolutionize Pharmaceutical IndustryThere are other fields where the R&D process can be influenced by AI and machine learning. Better approaches to predict chemicals' properties in order to reduce the number of substances that need to be synthesized is obviously an opportunity. This would allow for the consideration of a larger chemical universe and enrich the 'chemical palette' open to medicinal chemists. Another field where researchers are starting to use AI and machine learning is mining genomic, proteomic, and metabolic data for improved disease biomarkers and medication efficacy surrogate markers.

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For example, the time taken to examine cancer tumour scans or neurological condition brain scans may be drastically reduced. Further downstream, AI and deep learning are also used to evaluate real-world result data, wearable device data and other sensors. Predictive toxicology is already in its infancy and, potentially, businesses will still be able to detect any possible safety hazards with compounds even sooner by harnessing the true potential of AI. This advanced technology will also promote predictive medicine and better stratification of patients for clinical trials, and this can lead to an improvement in performance based on greater effectiveness in clinical trials since it is possible to better choose the most desirable patient pool.

What are the Opportunities for AI in Drug Discovery?AI is seen to give drug development a strategic edge, so it is expected to be introduced easily and generally. The implications of the market adjusting to accept the modern reality will eventually take place, and the strain to embrace the new ways of working will be felt by late adopters for fear of dropping out of the race. They would need to adapt or perish if any larger and more developed players are already lagging.

What is the Competitive Landscape?

Key market players featured in this report include:

Visiongains study is intended for everybody needing commercial analyses for the Global AI in Pharmaceuticals Market and leading companies. You will find data, trends, and predictions.

Find quantitative and qualitative analyses with independent predictions. Receive information that only our report contains, staying informed with this invaluablebusiness intelligence.

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About VisiongainVisiongain is one of the fastest growing and most innovative, independent, market intelligence around, the company publishes hundreds ofmarket research reportswhich it adds to its extensive portfolio each year. These reports offer in-depth analysis across 18 industries worldwide. The reports cover a 10-year forecast, are hundreds of pages long, with in depth market analysis and valuable competitive intelligence data. Visiongain works across a range of vertical markets, which currently can influence one another, these markets include automotive, aviation, chemicals, cyber, defense, energy, food & drink, materials, packaging, pharmaceutical and utilities sectors. Our customized and syndicated market research reports means that you can have a bespoke piece of market intelligence customized to your very own business needs.

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SOURCE Visiongain Limited.

Original post:

Artificial Intelligence in the Pharmaceutical market worth US$27156.1 Million in 2031. Visiongain Research Inc. - GlobeNewswire