Healthcare AI startup Qure.ai closed a $65 million Series D financing round on Wednesday. The startup — which is headquartered in India — plans to use the capital to expand its presence in the U.S., as well as increase its investment in foundational AI models and acquire medtech companies.

周三，医疗保健AI初创公司Qure.AI完成了一轮6500万美元的D系列融资。这家总部位于印度的初创公司计划利用这笔资金扩大其在美国的业务，并增加对基础人工智能模型的投资，收购医疗技术公司。

The funding round was led by Lightspeed and 360 ONE Asset. Other participants included Merck Global Health Innovation Fund, Kae Capital, Novo Holdings, Health Quad, and TeamFund.

这轮融资由Lightspeed和360 ONE Asset牵头。其他参与者包括默克全球健康创新基金、Kae Capital、Novo Holdings、Health Quad和TeamFund。

Qure, which was founded in 2016, has international offices in New York, London and Dubai.

Qure成立于2016年，在纽约、伦敦和迪拜设有国际办事处。

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Get Ready for HLTH 2024: A Preview Guide

为HLTH 2024做好准备：预览指南

HLTH 2024, scheduled for October 20-23 at the Venetian Expo Center in Las Vegas, will highlight new programming, a physicians roundtable, generative AI, the shifting landscapes of telemedicine, retail health, women's health, and lots more.

HLTH 2024计划于10月20日至23日在拉斯维加斯威尼斯博览中心举行，将重点介绍新的编程、医生圆桌会议、生成人工智能、远程医疗、零售健康、女性健康等领域的变化。

By Stephanie Baum

作者：StephanieBaum

The startup’s AI platform was trained on “billions of clinical datasets” to identify anatomical anomalies on medical images produced by X-rays and CT scans, said co-founder and CEO Prashant Warie.

联合创始人兼首席执行官Prashant Warie表示，这家初创公司的人工智能平台接受了“数十亿临床数据集”的培训，以识别X射线和CT扫描产生的医学图像上的解剖异常。

“Qure’s technology recognizes patterns within these images to detect, for example, high-risk lung nodules that can be indicative of lung cancer, or early signs of stroke or brain bleeds from head injuries. The AI compares new patient scans with its vast database of past clinical cases, helping to identify abnormalities that would otherwise be difficult for the human eye to see,” he explained..

“Qure的技术可以识别这些图像中的模式，以检测出可能指示肺癌的高风险肺结节，或中风或头部受伤导致脑出血的早期迹象。人工智能将新的患者扫描与过去临床病例的庞大数据库进行比较，有助于识别人类眼睛难以看到的异常，”他解释道。。

Through automation, Qure also facilitates faster and more accurate diagnoses, saving time for radiologists or pulmonologists, Warie added.

Warie补充说，通过自动化，Qure还可以促进更快、更准确的诊断，为放射科医生或肺病学家节省时间。

He also said that Qure has a greater goal of making healthcare more accessible and equitable.

他还说，库雷有一个更大的目标，即使医疗保健更加容易获得和公平。

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These strategies and practices can significantly shorten the life cycle of claims, leading to quicker resolutions and improved financial outcomes.

这些战略和做法可以大大缩短索赔的生命周期，从而更快地解决问题，改善财务成果。

By Greenway Health

绿道健康

“[Qure seeks] to reach communities that are underserved, disconnected or experiencing delays in healthcare provision. This includes remote villages and prisons in developing nations with resource constraints such as Indonesia, Haiti or Nigeria, and in mature healthcare systems facing pressures such as backlogs, burnout or radiology recruitment shortages in the U.S., Canada and U.K.,” Warie declared..

Warie宣布：“[Qure寻求]接触到服务不足、不连通或医疗保健服务延迟的社区。这包括印尼、海地或尼日利亚等资源紧张的发展中国家的偏远村庄和监狱，以及美国、加拿大和英国面临积压、倦怠或放射科招聘短缺等压力的成熟医疗保健系统。”。。

He noted that Qure’s technology is “particularly beneficial” for resource-constrained healthcare facilities where access to skilled radiologists is often limited. By integrating the AI software into their existing imaging systems, providers can better prioritize cases, as well as deliver faster and more accurate diagnoses, Warie remarked..

他指出，Qure的技术对于资源有限的医疗机构“特别有益”，因为这些医疗机构通常无法获得熟练的放射科医生。Warie说，通过将人工智能软件集成到现有的成像系统中，提供商可以更好地确定病例的优先级，并提供更快，更准确的诊断。。

Qure’s solutions are currently deployed in more than 90 countries, and the technology is currently live at more than 3,100 active sites ranging from major hospitals to community clinics, he said.

。

“Our AI is in action detecting early signs of stroke on CT scans or lung nodules via X-ray in the U.K. NHS Trusts, in U.S. hospitals including University Hospitals in Cleveland, via major U.S. teleradiology providers such as vRAD, and even in vans in the Philippines or on horseback in Lethoso, South Africa to identify tuberculosis in remote locations,” Warie declared..

“我们的人工智能正在通过英国NHS信托基金、美国医院（包括克利夫兰的大学医院）、美国主要的远程放射学提供商（如vRAD）甚至菲律宾的货车或南非莱托索的马背上，通过X射线检测CT扫描或肺结节的早期中风迹象，以识别偏远地区的结核病，”Warie宣布。。

In addition to providers, pharmaceutical companies, especially those involved in clinical trials, are beginning to adopt Qure’s solutions to measure and monitor imaging-based research, he stated. Some of Qure’s pharmaceutical customers include AstraZeneca, Johnson & Johnson and Viatris.

他表示，除了供应商之外，制药公司，尤其是那些参与临床试验的公司，也开始采用Qure的解决方案来测量和监测基于成像的研究。Qure的一些制药客户包括阿斯利康、强生和Viatris。

When asked whether Qure is thinking about a public exit anytime soon, Warie said that for now, the company’s focusing is on continuing to build its market globally and “venturing deeper into meeting the healthcare challenges of the U.S.”

当被问及Qure是否考虑在近期内公开退出时，Warie表示，目前公司的重点是继续在全球建立市场，并“冒险深入应对美国的医疗保健挑战”