数据科学 & 人工智能:
揭示新的科学见解
At AstraZeneca we harness data and technology to maximise time for the discovery and delivery of potential new medicines. 数据科学和人工智能(AI)嵌入澳门葡京赌博游戏的R&D to enable our scientists to push the boundaries of science to deliver life-changing medicines.
数据科学和人工智能正在改变R语言&D, helping us turn science into medicine more quickly and with a higher probability of success. 澳门葡京赌博游戏将人工智能应用于整个发现和开发过程, 从目标识别到临床试验, 发现新的见解来指导澳门葡京赌博游戏的药物发现和开发.
今天，澳门葡京赌博游戏正在生成和访问比以往任何时候都多的数据. 事实上, more data has been created in the past two years than in the entire previous history of the human race. But the value of this data can only be realised if we are able to analyse, interpret and apply it. 正好穿过R&D，澳门葡京赌博游戏正在使用人工智能来帮助澳门葡京赌博游戏解读这些丰富的信息，目的是:
•更好地了解澳门葡京赌博游戏想要治疗的疾病
•确定新药物的新靶点
•预测要制造哪些分子以及如何制造它们
•更好地预测临床成功
•在临床及其他领域开拓新方法
Our scientists are using AI to help redefine medical science in the quest for new and better ways to discover, 测试和加速未来的潜在药物. The following sections tell just some of the stories behind how data science and AI are starting to make a difference to our R&D的努力.
更好地了解澳门葡京赌博游戏想要治疗的疾病
澳门葡京赌博游戏决心提高对癌症等疾病的基本认识, 呼吸系统疾病和心脏, 肾脏和代谢疾病. 因为通过了解导致疾病的原因, 澳门葡京赌博游戏希望找到新的治疗方法, 预防甚至治愈它们.
使用图表将知识转化为见解
Knowledge graphs are networks of contextualised scientific data facts and the relationship between them. 澳门葡京赌博游戏的知识图谱整合了基因组, 疾病, 药物, 临床和安全信息, 有助于克服确认偏差，并将数据转化为见解. Machine learning and AI applications such as graph neural networks can then mine this data to uncover previously unknown patterns and make novel target predictions. In 2021, 澳门葡京赌博游戏选择了前两个人工智能生成的药物靶点进入澳门葡京赌博游戏的投资组合, 从澳门葡京赌博游戏与 BenevolentAI. 澳门葡京赌博游戏分享澳门葡京赌博游戏内部知识图谱的部分工作 GitHub.
解开澳门葡京赌博游戏基因内外的秘密
澳门葡京赌博游戏的基因组学研究中心正致力于分析 到2026年将达到200万个基因组. We use best-practice cloud environments to process and apply advanced data and AI tools to interpret the vast genomics data faster and more robustly than previously possible.
基因组之外是转录组的动态领域, proteome and metabolome – largely untapped repositories of 丰富的 information that if connected could tell us more about what is driving 疾病. 多组学是这些数据集的集成, 在机器学习和人工智能的帮助下, 能帮助澳门葡京赌博游戏更准确地预测药物分子在细胞中的作用吗.
预测下一步要制造什么分子以及如何制造它们
通过人工智能, 澳门葡京赌博游戏正在改变药物化学, augmenting traditional 药物 design with sophisticated computational methods to predict what molecules to make next and how to make them.
随着澳门葡京赌博游戏的发现努力确定新的目标, we must find more efficient ways to design traditional or novel therapeutics that affect those targets and can move through our pipeline successfully.
The traditional way of generating novel molecular ideas involves a lengthy and intensive period of optimisation cycles making and testing molecules, 以及手动审查大量的文献和数据.
今天，澳门葡京赌博游戏使用人工智能来帮助澳门葡京赌博游戏在最短的时间内推断出最好的分子, 在澳门葡京赌博游戏70%的小分子化学项目中.
AI is also helping us design and develop other therapeutic modalities including peptide or protein therapeutics, 基于核苷酸的治疗和基于细胞的治疗.
使用人工智能进行快速、准确的图像分析
每周，澳门葡京赌博游戏的病理学家都会分析来自澳门葡京赌博游戏研究的数百个组织样本. They check them for 疾病 and for biomarkers that may indicate patients most likely to respond to our medicines. It is very time consuming which is why we are training AI systems to assist pathologists in analysing samples accurately and more effortlessly. 这有可能将分析时间减少30%以上.
澳门葡京赌博游戏的一个人工智能系统, 澳门葡京赌博游戏实施了一种方法，灵感来自于一些自动驾驶汽车如何理解周围环境. 澳门葡京赌博游戏训练人工智能系统对肿瘤细胞和免疫细胞进行生物标记, 叫PD-L1, 哪些可能有助于膀胱癌基于免疫疗法的治疗决策.
癌症并不是成像和人工智能正在改变研究的唯一疾病. Recently one of our biopharmaceuticals research teams undertook an ambitious project to train deep neural networks to predict 疾病 risk and related biomarkers from retinal fundus images.
通过数据科学和人工智能加速临床试验
Randomised Clinical Trials (RCTs) are currently the method of choice for pharma when it comes to assessing potential new medicines. 然而，公布的数据显示，随着时间的推移，它们变得越来越昂贵和复杂.
数据科学的进步可以帮助澳门葡京赌博游戏重新思考临床试验, enhancing current practice and finding new ways to discover and develop potential new medicines.
例如, 高质量电子健康记录(EHRs)的迅速采用代表了一个巨大的, 丰富的, and highly relevant data source that has a huge potential to improve clinical trial implementation.
Federated EHR technology is unlocking new opportunities to enhance clinical research and transform the way we do clinical trials. The technology has the potential to refine or replace many clinical trial processes including patient identification, 选择, 试验进行, 获取数据.
We are also employing AI and machine learning tools to glean more value from clinical trial data. 从历史上看, 澳门葡京赌博游戏已经熟练使用试验数据进行分析, 解释并报告试验药物的安全性和有效性. 但澳门葡京赌博游戏希望将澳门葡京赌博游戏已经收集到的数据的价值最大化.
机器学习和人工智能也被应用 临床试验中的事件判定 to enable us to optimise the process at different stages with the intent of reducing the time overall.
数据重用可以帮助澳门葡京赌博游戏更好地设计澳门葡京赌博游戏的药物开发战略和规划. 这可以帮助澳门葡京赌博游戏设计更智能的试验, 加强科学发现, 并最终, 在未来, 有可能帮助澳门葡京赌博游戏的病人得到最好的治疗吗.
构建正确的数据骨干
今天，澳门葡京赌博游戏正在生成和访问比以往任何时候都多的数据. 数据和分析有可能改变澳门葡京赌博游戏的业务, 但科学数据的真正价值只有在它是“公平的”——可找到的情况下才能实现, 可访问的, 可互操作和可重用.
澳门葡京网赌游戏的R&D and IT groups are working closely together to create an industry-leading enterprise data and AI architecture. This will help us answer key business questions and enhance our ability to harness new tools and technologies, 比如人工智能和机器学习, 无论是现在还是将来.
澳门葡京赌博游戏还动员了一个数据科学家团队, bioinformaticians, data engineers and machine learning experts from across the company to ensure we are collecting, 以最佳方式组织和使用正确的数据.
澳门葡京网赌游戏的伦理数据和人工智能原则
人工智能技术的快速发展将澳门葡京赌博游戏带入了一个未知的领域, 企业和监管机构必须共同努力，迎接新挑战. Our principles will empower us and our partners to navigate this new environment safely and effectively. 通过鼓励创新和发展，同时保持澳门葡京赌博游戏的价值观, 它们为维护澳门葡京赌博游戏的人工智能治理提供了长期的道德基础.
在2020年, we engaged a diverse range of experts both inside and outside AstraZeneca to develop principles for ethical data and AI, 符合澳门葡京赌博游戏的道德准则和价值观. These values work for patients and employees and enable AstraZeneca to make a positive contribution to society.
通过人工智能技术突破科学的界限
合作帮助回答人工智能领域的重大问题
澳门葡京赌博游戏在全球范围内合作，共同创新，建立一个将外部引入的生态系统.
澳门葡京赌博游戏从需要解决的挑战和确定最佳合作伙伴开始, 是否学术, 科技或工业, 所有这些都是为了推动科学发现和发展.
澳门葡京赌博游戏的合作者包括:
Veeva ID: Z4-43404
筹备日期:2022年3月