InTarget: An intelligent signature for magnetic control

InTarget：磁力控制的智能签名

• 批准号: EP/X039056/1
• 负责人: Ali Kafash Hoshiar
• 金额: $ 39.96万
• 依托单位: University of Essex
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2024
• 资助国家: 英国
• 起止时间: 2024 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FX039056%2F1
• 关键词: InTarget; intelligent; signature; magnetic; control

Cancer will claim 27.5 million lives worldwide annually by 2040 (cancerresearchuk.org). Current cancer treatment options include surgical intervention, chemotherapy, radiation therapy or a combination of these options. With Da Vinci surgical robots, which, amount other things, are used for minimally invasive tumour removal (6000 units in clinical use worldwide, wchh.onlinelibrary.wiley.com), robotics-assisted interventions have reached a maturity level to play an instrumental role in the fight against cancer. The current trend in medical robotics is toward device miniaturization. This is achieved by wireless transmission of power. Last few years, miniaturized robots (micro/nanoscale) performed endovascular interventions like drug delivery (e. g. microswarms with 200-micrometre lengths). Although magnetic actuation is one of the favoured wireless power transmission methods, the magnetic field affects all microrobots simultaneously. As the microrobots receive the same actuation input, individual or collective steering is challenging.In many applications, including targeted drug/stem cell delivery for cancer treatment, we need to steer a microswarm - that is, a collection of drug carriers (e.g., drug-coated magnetic nanoparticles (MNPs)). A magnetic field affecting all magnetic particles in the microswarm simultaneously makes precise capturing and steering of the microrobots challenging. We will develop a robotics architecture to control the magnetic field in multi-domains (controlling fields in different areas) within a region of interest using an intelligent magnetic field (designed based on a data-driven approach). Therefore, the microrobots can be controlled individually, which makes collective control possible. We will also demonstrate the adaptation of this technology to microswarm capturing applications (InTarget). Capturing microswarm can lead to deep region targeting within the body (e.g. targeting inoperable brain tumours).

到2040年，癌症每年将在全球享有2750万人的寿命（cancerresearchuk.org）。当前的癌症治疗选择包括手术干预，化学疗法，放射治疗或这些选择的组合。借助Da Vinci手术机器人，其他物体用于微创肿瘤的清除（全球临床使用中的6000个单位，wchh.onlinelibrary.wiley.com），机器人辅助的干预措施已经达到了成熟水平，在对抗癌症的斗争中起着重要作用。医学机器人技术的当前趋势是用于设备小型化。这是通过无线传输功率来实现的。最近几年，微型机器人（微型/纳米级）进行了血管内干预措施，例如药物输送（例如，具有200毫米长度的微疗法）。尽管磁性致动是最受欢迎的无线功率传输方法之一，但磁场同时影响所有微型机器人。由于微型机器人接受相同的致动输入，因此个人或集体转向都具有挑战性。在许多应用中，包括靶向药物/干细胞输送癌症治疗，我们需要引导微功能疗法 - 即，药物载体的集合（例如，药物涂覆的磁性纳米颗粒（MNPS））。同时影响微功能的所有磁颗粒的磁场使微型机器人的精确捕获和转向具有挑战性。我们将使用智能磁场（基于数据驱动的方法设计）来开发一种机器人架构，以控制感兴趣区域内多域（不同区域中的控制场）中的磁场。因此，可以单独控制微型机器人，这使集体控制成为可能。我们还将演示该技术对微功能捕获应用程序（IntArget）的改编。捕获微功能可以导致体内的深部区域靶向（例如，靶向无法手术的脑肿瘤）。