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【Nucleai完成1400万美元B+轮融资,引领AI空间生物标志物分析新纪元】

AI驱动的空间生物标志物分析初创公司Nucleai近日宣布,成功完成了1400万美元的B+轮融资,本次投资由知名投资机构M Ventures领投,Section 32、Sanofi Ventures、Debiopharm、复星锐正资本、Vertex Ventures Israel和Grove Ventures等现有投资者积极参与跟投。这一轮融资的完成,标志着Nucleai在人工智能和机器学习应用于病理图像分析领域的进一步发展。

Nucleai专注于利用先进的AI技术和机器学习算法,对细胞和组织层面的病理图像以及空间数据进行深度分析,以期预测疾病的治疗效果。这一创新技术有望革新医疗领域的诊断和治疗策略,特别是在精准医疗和个性化治疗方面,可能带来重大的突破。

据消息来源CTech透露,Nucleai的解决方案能够帮助科学家和医生更准确地理解疾病在细胞水平上的行为,从而提供更精准的治疗建议。随着新一轮资金的注入,Nucleai预计将加速其技术研发,扩大产品应用范围,并进一步深化与医疗行业的合作,推动医疗科技的前沿发展。

英语如下:

**News Title:** “Nucleai Secures $14M in B+ Round, Pioneering the Era of AI-Powered Pathological Image Analysis”

**Keywords:** AI bioanalytics, Nucleai funding,病理 image recognition

**News Content:**

**Nucleai Closes $14M B+ Funding Round, Leading the New Era of AI-based Spatial Biomarker Analysis**

AI-driven spatial biomarker analysis startup Nucleai has recently announced the successful completion of a $14 million B+ funding round, led by prominent investor M Ventures. Other participants in this round include Section 32, Sanofi Ventures, Debiopharm, Fosun RZ Capital, Vertex Ventures Israel, and Grove Ventures, among existing investors. This funding milestone signifies Nucleai’s progression in applying artificial intelligence and machine learning to病理 image analysis.

Nucleai specializes in leveraging advanced AI technologies and machine learning algorithms for in-depth analysis of pathological images and spatial data at the cellular and tissue level, aiming to predict disease treatment outcomes. This innovative technology has the potential to revolutionize diagnostic and treatment strategies in healthcare, particularly in precision medicine and personalized treatment, paving the way for significant breakthroughs.

According to CTech sources, Nucleai’s solution enables scientists and doctors to gain a more precise understanding of disease behavior at the cellular level, thereby offering more targeted treatment recommendations. With the influx of new funding, Nucleai is expected to accelerate its R&D, expand the scope of its applications, and deepen collaborations within the healthcare industry, propelling the forefront of medical technology.

【来源】https://www.calcalistech.com/ctechnews/article/r11brac1a

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