What You Should Know:

您应该知道：

–  Dyania Health, an AI-powered healthcare data company, today announced the close of its $10 million Series A funding round led by HealthX Ventures with Tech Square Ventures and Cleveland Clinic Ventures, along with significant participation from existing investors.

–以人工智能为动力的医疗保健数据公司Dyania Health今天宣布，由HealthX Ventures与Tech Square Ventures和Cleveland Clinic Ventures牵头的1000万美元A轮融资结束，现有投资者也大量参与。

–    Dyania’s Series A is driven by the growing demand for innovative solutions that address inefficiencies in healthcare data management and clinical research, positioning Dyania Health as a leader in AI-powered healthcare technologies.

–Dyania的A系列是由不断增长的创新解决方案需求推动的，这些解决方案解决了医疗保健数据管理和临床研究中的低效问题，使Dyania Health成为人工智能医疗保健技术的领导者。

Dyania Health: Revolutionizing Clinical Data Processing with AI-driven Solutions

Dyania Health：用AI驱动的解决方案彻底改变临床数据处理

Dyania Health is an AI-driven healthcare data company that collaborates with healthcare systems and life sciences organizations to unlock valuable insights from unstructured clinical data. Through its proprietary Synapsis AI platform, Dyania automates the reading, understanding, and analysis of complex medical information, significantly enhancing clinical research, reporting, and quality of care..

Dyania Health是一家人工智能驱动的医疗保健数据公司，与医疗保健系统和生命科学组织合作，从非结构化临床数据中挖掘有价值的见解。通过其专有的Synapsis AI平台，Dyania自动化了复杂医学信息的阅读、理解和分析，大大提高了临床研究、报告和护理质量。。

Dyania’s platform is currently deployed across large healthcare systems, streamlining enterprise-wide clinical trial pre-screening, automating chart reviews for observational studies, and simplifying complex registry reporting. This automation dramatically reduces manual workloads and increases accuracy and timeliness in patient care decisions..

Dyania的平台目前部署在大型医疗保健系统中，简化了企业范围的临床试验预筛选，自动化了观察性研究的图表审查，并简化了复杂的注册表报告。这种自动化大大减少了手动工作量，提高了患者护理决策的准确性和及时性。。

Founded in 2020, Dyania Health’s mission is to develop AI solutions tailored to medical applications, empowering clinicians by automating one of the most inefficient processes in healthcare—manual chart review. CEO and Founder Eirini Schlosser envisioned a collaborative team of full-time physicians and AI researchers working together to annotate massive data sets.

。首席执行官兼创始人埃里尼·施洛瑟（Eirini Schlosser）设想成立一个由全职医生和人工智能研究人员组成的合作团队，共同注释海量数据集。

During the COVID-19 pandemic, this team utilized annotated electronic medical records (EMRs) to train their proprietary large language model (LLM), which now powers the Synapsis AI platform..

在新型冠状病毒肺炎大流行期间，该团队利用带注释的电子病历（EMR）来训练其专有的大型语言模型（LLM），该模型现在为Synapsis AI平台提供了动力。。

The Synapsis AI Platform excels by processing large volumes of both unstructured and structured medical data—including physician notes, pathology reports, imaging notes, and numerical lab results—within a healthcare system’s firewall, ensuring compliance with HIPAA and GDPR standards. The platform operates locally, safeguarding patient privacy.

Synapsis AI平台通过在医疗保健系统的防火墙内处理大量非结构化和结构化的医疗数据（包括医生笔记、病理报告、成像笔记和数字实验室结果）而表现出色，确保符合HIPAA和GDPR标准。该平台在本地运行，保护患者隐私。

Synapsis AI can perform complex medical chart reviews in under a second, drastically reducing the time it takes clinicians to access actionable insights. The platform’s ability to scale with increased computing power opens up new possibilities for rapid and comprehensive clinical decision-making..

Synapsis AI可以在不到一秒钟的时间内完成复杂的医学图表审查，大大减少了临床医生获得可行见解的时间。该平台能够随着计算能力的提高而扩展，为快速全面的临床决策开辟了新的可能性。。

Dyania Health’s innovative approach has attracted strategic partnerships with leading healthcare systems and life sciences firms. Notably, Cleveland Clinic has been an early adopter, utilizing Synapsis AI in the areas of cancer and cardiovascular disease. After a year of successful collaboration, Cleveland Clinic is now implementing the platform across its enterprise..

Dyania Health的创新方法吸引了与领先的医疗保健系统和生命科学公司的战略合作伙伴。。经过一年的成功合作，克利夫兰诊所目前正在其企业中实施该平台。。

Dyania’s leadership team includes experts from prestigious organizations such as Amazon Alexa AI, Bloomberg AI, Flatiron Health, and NYU Langone. With the successful completion of its Series A funding round, the company aims to expand its team, enhance product capabilities, and scale operations to meet the growing demand from healthcare systems and biopharmaceutical companies..

Dyania的领导团队包括来自亚马逊Alexa AI、彭博AI、Flatiron Health和纽约大学Langone等知名组织的专家。随着A轮融资的成功完成，该公司旨在扩大团队规模，增强产品能力，扩大运营规模，以满足医疗保健系统和生物制药公司不断增长的需求。。

By acquiring advanced computing resources early on, Dyania Health has consistently pushed the boundaries of AI performance in medical chart review, surpassing human experts and revolutionizing the efficiency and accuracy of clinical workflows.

通过早期获得先进的计算资源，Dyania Health在医学图表审查中不断突破人工智能性能的界限，超越了人类专家，彻底改变了临床工作流程的效率和准确性。

“Artificial intelligence has the potential to enhance patient care and increase the speed of medical research. Our efforts with Dyania Health combine deep computational and medical expertise,” said Rohit Chandra, PhD, Cleveland Clinic’s Chief Digital Officer. “For instance, through our work together with Dyania and the clinical leadership of Cleveland Clinic’s Heart, Vascular and Thoracic Institute and Cancer Institute, we are seeing early success with the technology in streamlining and accelerating the clinical trial recruitment process.  The system’s medically trained large language model can screen electronic medical records to identify patients that meet the eligibility criteria for clinical trials.

克利夫兰诊所首席数字官罗希特·钱德拉博士说：“人工智能有可能加强患者护理，提高医学研究的速度。我们与Dyania Health的合作结合了深厚的计算和医学专业知识。”。“例如，通过我们与Dyania以及克利夫兰诊所心脏、血管和胸腔研究所和癌症研究所的临床领导的合作，我们看到该技术在简化和加速临床试验招募过程方面取得了早期成功。该系统经过医学训练的大型语言模型可以筛选电子病历，以识别符合临床试验资格标准的患者。

Removing these bottlenecks will give patients easy access to clinical trials, as well as accelerate scientific progress.”.

消除这些瓶颈将使患者更容易获得临床试验，并加速科学进步。”。