2022年第三季度用于药物发现的人工智能景观概述(附下载)

本篇报告共 135 页,为保障社群会员权益,仅展示前 68 页;成为会员后可无限制下载原报告与历史更新报告,以及每日更新100+。目前已累积更新80000+。

这是全行业报告圈的第1176期分享
来源 / DEEP PHARMA INTELLIGENCE

本篇摘要
This 135page "Artificial Intelligence for Drug Discovery Landscape Overview Q3 2022"report represents the eleventh issue of market analytics focused on the Artificial Intelligence(Al) application in the pharmaceutical research industry.
The primary goal of this series of reports is to give a complete picture of the industry environment in terms of Al usage in drug discovery, clinical research, and other elements of pharmaceutical research and development.
This overview highlights recent trends and insights in the form of helpful mind maps and infographics and gauges the performance of prominent players who shape the industry's space and relationships.
It can help the reader comprehend what is going on in the sector and potentially predict what will happen next Since the last edition, data has been significantly updated to reflect the fast-paced market dynamics and an overall increase in pharmaceutical Al investment and business development activities.
The listings of Al-biotech businesses, biotech investors, and pharmaceutical organizations have been expanded to reflect the pharmaceutical industry's rising interest in sophisticated data analytics technology.
Alongside investment and business trends, the report also provides technical insights into some of the latest Al applications and research achievements.

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