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AI公司曦嘉医疗获数千万元天使轮融资,开发中国版斯坦福疗法抗抑郁 | 早起看早期
36氪· 2025-05-27 00:14
以下文章来源于36氪Pro ,作者海若镜 36氪Pro . 36氪旗下官方账号。深度、前瞻,为1%的人捕捉商业先机。 将于今年年中启动新一轮融资。 文 | 海若镜 来源| 36氪Pro(ID:krkrpro) 封面来源 | Pexels 36氪获悉,脑科学AI公司曦嘉医疗(NuraNavX)近日完成数千万元天使轮融资,由险峰淇云(K2 Venture Partners)投资。本轮融资主要用于进行AI脑连 接组学产品的市场推广和进一步研发等。公司将于今年年中启动新一轮融资。 脑连接组学,通过分析大脑神经元之间的连接和组网方式来研究大脑。曦嘉医疗基于脑连接组学的AI个体化脑网络图谱,可简单理解为绘制大脑GPS,与传 统的脑部成像技术不同,它揭示大脑不同区域如何相互连接形成脑网络,进而理解大脑不同区域的功能和运作机制,这对于理解复杂脑部疾病的发生机制至 关重要,并据此在国内临床治疗了超过1000例患者。 "一部分疾病,如抑郁症、自闭症、严重失眠等,并非是脑区出现器质性病变,而是因为脑功能区的连接出现异常。"曦嘉医疗CFO原泉介绍道。 基于MRI数据,曦嘉医疗将每个患者大脑划分为379个独特的脑区,并通过连接各个分区 ...
AI公司「曦嘉医疗」获数千万元天使轮融资
Sou Hu Cai Jing· 2025-05-26 06:59
Group 1 - NuraNavX, a brain science AI company, recently completed a multi-million yuan angel round financing led by K2 Venture Partners, with funds aimed at market promotion and further R&D of AI brain connectomics products [1] - The company's AI-based individualized brain network mapping, which can be understood as a "GPS for the brain," reveals how different brain regions connect, crucial for understanding complex brain diseases [1] - NuraNavX divides each patient's brain into 379 unique regions based on MRI data and has identified over 20 important brain functional networks, enabling personalized brain network maps for surgical protection and targeted treatment of central nervous system diseases like depression and anxiety [1] Group 2 - The company has established self-operated neuroregulation clinics in Shenzhen and Shanghai, providing treatments for various conditions including depression, anxiety, insomnia, and schizophrenia [2] - In addition to medical-grade products and services, NuraNavX's AI brain connectomics software supports researchers in brain science and has developed consumer-level brain health assessment reports to identify potential risks early [2]
AI公司曦嘉医疗获数千万元天使轮融资,开发中国版斯坦福疗法抗抑郁 | 36氪独家
3 6 Ke· 2025-05-26 00:33
Core Viewpoint - NuraNavX, a brain science AI company, has recently completed a multi-million yuan angel round financing, primarily aimed at market promotion and further research of its AI brain connectomics products [1] Group 1: Company Overview - NuraNavX focuses on brain connectomics, analyzing the connections and networking of neurons to understand brain functions and mechanisms, which is crucial for understanding complex brain diseases [1][2] - The company has treated over 1,000 patients in domestic clinical settings using its AI-based individualized brain network mapping technology [1] Group 2: Technology and Applications - The company utilizes MRI data to divide each patient's brain into 379 unique regions and studies over 20 important brain functional networks through its proprietary SCA (Structural Connectome Atlas) technology [2] - SCA technology employs machine learning to extract structural features of neural fiber bundles, creating personalized brain network models for surgical planning and treatment of central nervous system diseases [2][3] Group 3: Surgical Applications - Nura Surgical software aids neurosurgeons in tumor removal by presenting the patient's brain network and surrounding fiber bundles, helping to evaluate the importance of these bundles and optimize surgical paths [3] - The software has received a Class II medical device registration in China and is already in use in multiple top-tier hospitals, with applications in over 10,000 neurosurgeries internationally [3] Group 4: Mental Health Treatment - The AI brain connectomics system shows potential in the neuro-regulation treatment of functional brain diseases, addressing clinical pain points in diagnosing and treating conditions like depression and anxiety [6][8] - The company is collaborating with hospitals to conduct larger-scale clinical trials for severe mental illnesses, while also establishing self-operated neuro-regulation clinics in major cities [9] Group 5: Market Potential - With over 1 billion people affected by neurological disorders globally, the increasing prevalence due to aging populations and lifestyle changes presents a significant market opportunity for innovative treatment solutions [9]