|
Canada-0-LABORATORIES 公司名錄
|
公司新聞:
- Machine-learning-assisted single-vessel analysis of nanoparticle . . .
Using nano-ISML, >67,000 individual blood vessels from 32 tumour models were quantified, revealing highly heterogenous vascular permeability of protein-based nanoparticles
- Machine-learning-assisted single-vessel analysis of nanoparticle . . .
The central dogma that nanoparticle delivery to tumours requires enhanced leakiness of vasculatures is a topic of debate To address this, we propose a single-vessel quantitative analysis method by taking advantage of protein-based nanoprobes and image-segmentation-based machine learning (nano-ISML) …
- Machine-learning-assisted single-vessel analysis of . . .
The central dogma that nanoparticle delivery to tumours requires enhanced leakiness of vasculatures is a topic of debate To address this, we propose a single-vessel quantitative analysis method by taking advantage of protein-based nanoprobes and image-segmentation-based machine learning (nano-ISML)
- Machine-learning-assisted single-vessel analysis of . . .
The central dogma that nanoparticle delivery to tumours requires enhanced leakiness of vasculatures is a topic of debate To address this, we propose a single-vessel quantitative analysis method by taking advantage of protein-based nanoprobes and image-segmentation-based machine learning (nano-ISML)
- Nature Nanotech | 黄兴禄教授课题组人工智能助力解析纳米 . . .
纳米材料的肿瘤血管渗透性是纳米药物递送领域的关键科学问题之一。 目前，针对肿瘤的纳米药物设计原理主要是基于1986年发现的血管高渗透和组织长滞留（enhanced permeability and retention, EPR）效应。
- Machine-learning-assisted single-vessel analysis of nanoparticle . . .
The central dogma that nanoparticle delivery to tumours requires enhanced leakiness of vasculatures is a topic of debate To address this, we propose a single-vessel quantitative
- Machine Learning-assisted Single Vessel Analysis of Nanoparticle . . .
Using Nano-ISML, we quantified > 50,000 individual blood vessels from 32 tumour models, which revealed highly heterogenous vascular permeability of protein-based nanoparticles in different tumours and blood vessels
- Machine-learning-assisted single-vessel analysis of nanoparticle . . .
Using nano-ISML, >67,000 individual blood vessels from 32 tumour models were quantified, revealing highly heterogenous vascular permeability of protein-based nanoparticles
- Nature Nanotechnology：南开大学黄兴禄等团队合作利用 . . .
机器学习（ML）可用于快速分析大数据，并识别人类操作员不明显的趋势和模式。 受ML优势的启发，研究人员在蛋白质纳米探针和基于图像分割的ML技术 (纳米-ISML)的基础上，设计了一种单血管分析方法，以填补高通量血管通透性定量的知识空白。
- 《Nature Nanotechnology》：机器学习辅助的肿瘤血管中 . . .
为了解决这个问题，来自 中国科学院自动化研究所的 田捷 、来自中国科学院大学的 阎锡蕴 和来自南开大学的黄兴禄合作提出了一种利用基于蛋白质的 纳米探针 和基于图像分割的机器学习 (nano-ISML)的单容器定量分析方法。
|
|