通用人工智能助力香港新的癌症成像工具-动脉网

Gen AI powers new cancer imaging tool in Hong Kong

MobiHealthNews 等信源发布 2025-02-20 14:01

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Photo: Matt Lincoln/Getty Images

照片来源：马特·林肯/盖蒂图片社

Engineers from the University of Hong Kong have developed a generative AI-based imaging method that supports cancer diagnosis.

香港大学的工程师们开发了一种基于生成式人工智能的成像方法，可以支持癌症诊断。

HOW IT WORKS

工作原理

CytoMAD (Cyto-Morphology Adversarial Distillation) combines AI and microfluidic technology to do label-free imaging of tumours at the individual cell level. It can capture cell images 'at great speed, enhance these images, and automatically correct inconsistencies in cell imaging.

CytoMAD（细胞形态对抗蒸馏）结合人工智能和微流控技术，对肿瘤进行无标记的单细胞水平成像。它可以高速捕获细胞图像、增强这些图像，并自动校正细胞成像中的不一致性。

'We use [genAI] technology to render much clearer label-free images with useful information such as whether a treatment has had a positive effect,' explained research lead and HKU professor Kevin Tsia.

“我们使用[genAI]技术来渲染出更清晰的无标记图像，并提供诸如治疗是否产生积极效果等有用信息，”研究负责人、香港大学教授谢坚伟解释道。

It also allows simultaneous brightfield to quantitative phase image translation to reveal additional cellular information. Dr Michelle Lo, a postdoctoral researcher at HKU and the main developer of CytoMAD, further explained that the technology can be trained to extract mechanical properties and molecular information of cells from brightfield images that are undetectable to the human eye. .

它还允许同时进行从明场到定量相位图像的转换，以揭示更多的细胞信息。香港大学博士后研究员、CytoMAD的主要开发者Michelle Lo博士进一步解释说，这项技术可以被训练来从人眼无法检测到的明场图像中提取细胞的机械特性和分子信息。

'In other words, we could uncover important properties of cells that underpin cell functions, bypassing the use of standard fluorescence markers and their limitations in costs and time.'

“换句话说，我们可以揭示细胞功能所依赖的重要特性，绕过标准荧光标记的使用及其在成本和时间上的局限性。”

The research team demonstrated the use of the genAI imaging tool on lung cancer patients in a

研究团队展示了在肺癌患者身上使用genAI成像工具的情况

study

学习

with Li Ka Shing Faculty of Medicine and Queen Mary Hospital. The team is now working to secure funding for clinical trials of CytoMAD with lung cancer patients. They also intend to train the genAI tool to enable clinicians to predict cancer and other diseases.

与李嘉诚医学院和玛丽女王医院合作。该团队现在正努力为CytoMAD的肺癌患者临床试验争取资金。他们还打算训练这个基因AI工具，以帮助临床医生预测癌症和其他疾病。

WHY IT MATTERS

为什么重要

Single-cell imaging as part of cancer diagnosis and research can be lengthy and expensive. The process often applies stains and labels to samples to resolve low visibility. Results can also take time.

单细胞成像作为癌症诊断和研究的一部分，可能耗时且昂贵。该过程通常会对样本进行染色和标记以解决低可见性问题。结果也可能需要时间。

'Until now, there is no cost-effective technique to do single-cell analysis through imaging mainly because of the limitation in scale. Under the traditional methods, the imaging throughput is not fast enough and the cell images are not clear and informative enough,' noted Prof Tsia, who also heads HKU's Biomedical Engineering Programme. .

“到目前为止，还没有一种具有成本效益的技术可以通过成像进行单细胞分析，这主要是因为规模上的限制。在传统方法下，成像通量不够快，细胞图像也不够清晰和信息丰富，”领导港大生物医学工程计划的谢教授指出。

His team sought to address these limitations with their imaging innovation.

他的团队试图通过他们的成像创新来解决这些限制。

According to HKU, besides its cost-effectiveness and fast imaging throughput, CytoMAD also allows unbiased cell image analysis since it does not require any data assumption, unlike current ML-driven methods requiring a priori knowledge of data.

据港大介绍，除了具有成本效益和快速成像通量外，CytoMAD还允许无偏见的细胞图像分析，因为它不需要任何数据假设，而当前的机器学习驱动方法需要先验的数据知识。

THE LARGER TREND

更大的趋势

Another university in Hong Kong has also developed healthcare large language models (LLM), including one for detecting breast cancer pathologies in MRI images. The research team at

香港另一所大学也开发了医疗大型语言模型（LLM），其中包括一个用于检测MRI图像中乳腺癌病理的模型。研究团队

Hong Kong University of Science and Technology

香港科技大学

is now preparing for clinical pilots of these AI models with hospitals.

正在准备与医院合作进行这些人工智能模型的临床试验。

Other Hong Kong-based institutes have also hopped on the genAI development trend. Late last year, the Chinese University of Hong Kong unveiled its genAI model for automated eye disease diagnosis called

其他香港的院校也纷纷加入生成式人工智能（genAI）开发的潮流。去年年底，香港中文大学推出了一款用于自动诊断眼疾的生成式人工智能模型，名为

VisionFM

视觉调频

. The Centre for Artificial Intelligence and Robotics created a medical chatbot named

人工智能和机器人中心创建了一个名为

CARES Copilot 1.0

CARES 副驾驶 1.0

, powered by Meta's Llama 2 LLM.

，由Meta的Llama 2 LLM提供支持。

Meanwhile, a

同时，一个

radiology-specific LLM

放射学专用LLM

, developed by Australian company Harrison.ai, was introduced in September last year. Harrison.rad.1 was found to outperform popular models, including OpenAI's GPT-4o and Microsoft LLaVA-Med, in a competitive examination for radiologists.

，由澳大利亚公司Harrison.ai开发，于去年9月推出。Harrison.rad.1在放射科医生的竞争性考试中表现优于包括OpenAI的GPT-4o和微软LLaVA-Med在内的流行模型。

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