内容来源：https://news.microsoft.com/signal/articles/gigatime-ai-tool-advances-cancer-research/

内容总结：

微软研究院联合普罗维登斯医疗集团及华盛顿大学，近日在《细胞》杂志发表论文，公布了一款名为GigaTIME的开源人工智能工具。该工具有望推动癌症研究取得突破，并为优化治疗方案提供新路径。

传统癌症研究依赖耗时昂贵的人工实验分析肿瘤微环境，而GigaTIME能够将常规病理切片在数秒内转化为多维数字图谱，直观呈现免疫细胞与肿瘤细胞间通过蛋白质激活产生的相互作用。这种技术可同时模拟数万种生物场景，揭示以往难以观测的细胞活动模式，为预测肿瘤发展轨迹和药物疗效提供关键依据。

研究团队利用来自51家医院、超千家诊所的1.4万余名患者的脱敏数据训练模型。该工具现已通过微软Foundry实验室及Hugging Face平台向科研界开源，或将助力临床人员识别适合特定疗法的患者群体，解析肿瘤耐药机制，最终提升癌症治疗的精准性。

中文翻译：

预计阅读时间：2分钟
GigaTIME AI工具推动癌症研究，有望开启更优治疗之门
作者

每分钟，就有四名美国人被确诊癌症，由此踏上一段对抗医学界最复杂疾病的征程。如今，微软研究院开发的一款新型人工智能工具，为研究人员提供了在全新尺度上研究肿瘤"微环境"的能力——这对预测癌症演变规律及筛选最佳治疗方案至关重要。该成果已发表于最新一期《细胞》杂志。

依托能处理多模态数据的模型，GigaTIME或将变革癌症研究范式。传统研究依赖昂贵耗时的实验室检测来追踪肿瘤发展，而该工具能将成本低廉的常规病理切片转化为精细的数字图谱，通过蛋白质激活状态揭示免疫细胞与癌细胞的相互作用，使研究者得以发现既往无法观测的规律。

GigaTIME以前所未有的规模开启了肿瘤微环境研究的新可能。传统方法生成单样本数字图谱需耗时数日、耗资数千美元；相比之下，GigaTIME通过计算可在数秒内模拟数十种蛋白质的交互分析，支持研究者同时观测数万种生物场景。该工具最终有望帮助识别特定疗法的受益人群，提升患者生存几率，同时揭示治疗无效的深层机制及肿瘤耐药性应对策略。

作为开源研究工具，GigaTIME已在微软铸造实验室和Hugging Face平台开放获取。该工具由微软与普罗维登斯医疗集团、华盛顿大学合作开发，其训练数据获准使用来自51家医院及超1000家诊所的1.4万余名患者的匿名医疗信息。

更多详情请参阅微软研究院博客及《细胞》期刊论文。

英文来源：

– The estimated reading time is 2 min.
GigaTIME AI tool advances cancer research and could unlock access to better treatment
Author
Every minute, four Americans are told they have cancer and start a journey into one of the most complex diseases in medicine. Now, a new AI tool developed by Microsoft Research and covered today in a new Cell paper allows researchers to study the “neighborhood” around tumors at a new scale, which is key to predicting how cancers behave and which treatments work best.
Relying on models that can process multiple types of data, GigaTIME could help change how researchers study cancer. Research often relies on expensive time-consuming lab tests to learn how tumors develop in the body. GigaTIME turns inexpensive everyday pathology slides into complex and detailed digital maps that show how immune cells interact with cancerous tumors through protein activation, enabling researchers to uncover previously invisible patterns.
In this way, GigaTIME opens opportunities to study tumor microenvironments at a scale never seen before. Traditionally, generating these types of digital maps would take days and thousands of dollars for a single sample. By contrast, GigaTIME can simulate such analysis over dozens of proteins in seconds through computation, enabling researchers to study tens of thousands of scenarios at once. Eventually, the tool could help identify which patients might benefit from specific treatments and improve odds for patients. It could also shed light on why some patients fail to respond and how to counter tumor resistance.
GigaTIME is publicly available as an open-source research tool on Microsoft Foundry Labs and Hugging Face. Developed in collaboration with Providence and the University of Washington, it leverages data approved for research use from a diverse cohort of more than 14,000 patients across 51 hospitals and over 1,000 clinics.
Read more in our MSR blog and the paper in Cell.