Intelligent Breast Cancer DiagnOsis and MonItoring Therapeutic Response Training Network (CanDoIt)

智能乳腺癌诊断和监测治疗反应训练网络(CanDoIt)

基本信息

  • 批准号:
    EP/Y03693X/1
  • 负责人:
  • 金额:
    $ 66.43万
  • 依托单位:
  • 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

项目摘要

CanDoIt will show how a smart multimodal multi-physic sensor array associated with DNA oligonucleotides and their peptide nucleic acid (PNAs) analogues dedicated for liquid biopsies analysis has the potential for more accurate diagnostic and treatment monitoring of BC through the study of cutting-edge technologies in bio/nanomaterials, sensors and transducers design, fluidics systems, and artificial intelligence. The CanDoIt objectives are to: (1) Train the excellent next generation researchers for interdisciplinary careers in basic, applied and especially translational BC research and with "raising awareness" on social issues; (2) Develop cutting-edge technologies for BC diagnosis and monitoring therapeutic response by bringing together eminent experts from both industry and academia, including engineers, computational scientists, chemists, physicists, and clinicians; (3) Pursue key biological targets through intelligent methods, all the way from early stage to preclinical and clinical investigation; (4) In addition to respond to the BC issue, the intelligent biosystems proposed will be a real technological advance (breakthrough), thanks to the association of different transducers to go towards a multimodal platform, the association of structured nanomaterials inspired by living world and an implementation of intelligent algorithms for optimal analysis; (5) Build a high-impact structure ensuring multi-level dissemination and exploitation of all results.
CanDoIt将展示用于液体活检分析的与DNA寡核苷酸及其肽核酸(PNAs)类似物相关的智能多模态多物理传感器阵列如何通过研究生物/纳米材料、传感器和传感器设计、流体系统和人工智能方面的前沿技术,具有更准确诊断和治疗BC的潜力。CanDoIt的目标是:(1)培养优秀的下一代研究人员,从事基础,应用,特别是转化BC研究的跨学科职业,并“提高对社会问题的认识”;(2)通过汇集业界和学术界的知名专家,包括工程师、计算科学家、化学家、物理学家和临床医生,开发BC诊断和监测治疗反应的前沿技术;(3)通过智能方法追求关键生物学靶点,从早期到临床前和临床研究;(4)除了应对BC问题外,所提出的智能生物系统将是一个真正的技术进步(突破),这要归功于不同传感器的联合走向多模态平台,受生活世界启发的结构化纳米材料的联合以及智能算法的实施进行优化分析;(5)构建高影响力结构,确保所有成果的多层次传播和利用。

项目成果

期刊论文数量(0)
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Hadi Heidari其他文献

Modelling and Fabrication of Wide Temperature Range Al0.24Ga0.76AsGaAs Hall Magnetic Sensors
宽温度范围 Al0.24Ga0.76AsGaAs 霍尔磁传感器的建模和制造
  • DOI:
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    5.1
  • 作者:
    Hua Fan;Huichao Yue;Jiangmin Mao;Ting Peng;Siming Zuo;Quanyuan Feng;Qi Wei;Hadi Heidari
  • 通讯作者:
    Hadi Heidari
Cholesteric Liquid Crystal Based Reconfigurable Optical Combiner for Head-Mounted Display Application
用于头戴式显示器应用的基于胆甾型液晶的可重构光学组合器
Electronic skins with a global attraction
具有全球吸引力的电子皮肤
  • DOI:
    10.1038/s41928-018-0165-2
  • 发表时间:
    2018-11-12
  • 期刊:
  • 影响因子:
    40.900
  • 作者:
    Hadi Heidari
  • 通讯作者:
    Hadi Heidari
Towards Highly Linear High Resolution SAR ADCs Using Capacitor Re-configuring Method for the Internet of Things
使用物联网电容器重新配置方法实现高线性高分辨率 SAR ADC
  • DOI:
  • 发表时间:
    2017
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Hua Fan;Yang Liu;Jingtao Li;Franco Maloberti;Quanyuan Feng;Dagang Li;Daqian Hu;Yuanjun Cen;Hadi Heidari
  • 通讯作者:
    Hadi Heidari
Impact of Receiver Thermal Noise and PLL RMS Jitter in Radar Measurements
雷达测量中接收器热噪声和 PLL RMS 抖动的影响

Hadi Heidari的其他文献

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{{ truncateString('Hadi Heidari', 18)}}的其他基金

SUPer-REsolution non-invasive Muscle measurements with miniaturised magnetIc SEnsors (SUPREMISE)
使用微型磁性传感器 (SUPREMISE) 进行超分辨率非侵入性肌肉测量
  • 批准号:
    EP/X031950/1
  • 财政年份:
    2024
  • 资助金额:
    $ 66.43万
  • 项目类别:
    Fellowship
SNOW: Wearable Nano-Opto-electro-mechanic Systems
SNOW:可穿戴纳米光电机械系统
  • 批准号:
    EP/X034690/1
  • 财政年份:
    2023
  • 资助金额:
    $ 66.43万
  • 项目类别:
    Research Grant
Dielectrophoretic roll system for high performance electronics using contactless selective assembly of nanostructures on large areas
用于高性能电子产品的介电泳辊系统,采用大面积非接触式选择性组装纳米结构
  • 批准号:
    EP/W025752/1
  • 财政年份:
    2023
  • 资助金额:
    $ 66.43万
  • 项目类别:
    Research Grant

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从单细胞转录组到单细胞通量组:表征乳腺癌亚型分类的代谢失调
  • 批准号:
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225Ac 标记的抗 nectin-4 放射免疫缀合物,有/没有免疫检查点阻断治疗三阴性乳腺癌。
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确定参与促进乳腺癌休眠逃逸的分子和环境因素。
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