Advanced Therapy Medicinal Products Using Silicon Nano Drug BioCourier Optimized Using Deep Learning A.I,

使用深度学习人工智能优化的硅纳米药物 BioCourier 的先进治疗药物产品，

• 批准号: 65047
• 金额: $ 5.99万
• 依托单位: SISAF LTD
• 依托单位国家: 英国
• 项目类别: Responsive Strategy and Planning
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=65047
• 关键词: Advanced; Therapy; Medicinal; Products; Using

**Background.**It has emerged through the COVID-19 pandemic outbreak that there is a significant need to have disease control tools that can be rapidly deployed in an emergency situation and an increased need to be able to rapidly repurpose existing drugs for new indications for a disease syndrome that induces a range of disease outcomes from mild to very severe.**Drug delivery carrier technologies** can greatly enhance the performance of drugs, reduce the side effects of drugs, and allow less invasive drug delivery routes to be used (for example a tablet instead of an injection).As we are in the middle of a COVID-19 pandemic there is a vast amount of data being generated on the disease and the disease outcomes, trialling of different drugs and medical interventions. This makes interpretation of outcomes challenging and does not readily allow identificaiton of new disaese therapies. However artificial intelligence system can use algorithms to go through millions of data points to solve very specific problems.Therefore in this project, studies will employ **deep learning artificial intelligence** in combination with a very specialised **drug delivery technology** to rapidly assess vast amounts of data to identify new relations ships between disease, drug delivery and they types of drugs being trialled in order to determine new products to focus on for full clinical development for intervention therapy for future COVID and related disease treatments.**Main Areas of Focus**This will be related to optimising drug delivery and drug targeting for more effective and safe therapies

** 背景。** 2019冠状病毒病大流行爆发表明，非常需要能够在紧急情况下快速部署的疾病控制工具，并且越来越需要能够快速重新使用现有药物，用于治疗引起从轻度到非常严重的一系列疾病后果的疾病综合征的新适应症。药物输送载体技术 ** 可以大大提高药物的性能，减少药物的副作用，并允许使用侵入性更小的药物输送途径（例如片剂而不是注射剂）。由于我们正处于COVID-19大流行期间，因此产生了大量关于疾病和疾病后果的数据，试验了不同的药物和医疗干预措施。这使得对结果的解释具有挑战性，并且不容易识别新的疾病疗法。然而，人工智能系统可以使用算法通过数百万个数据点来解决非常具体的问题。因此，在这个项目中，研究将采用深度学习人工智能与非常专业的药物输送技术相结合，快速评估大量数据，以确定疾病之间的新关系，药物输送和正在试验的药物类型，以确定新产品，重点用于未来COVID和相关疾病治疗的干预疗法的全面临床开发。**主要关注领域 ** 这将涉及优化药物输送和药物靶向，以实现更有效和安全的治疗