郭女士
深圳智界探索科技有限公司·HR

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AI软件测试工程

15-30K * 13薪
深圳
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大数据实习生

300-600元/天
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大模型AI实习生

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智界探索
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深圳市
深圳智界探索科技有限公司成立于2024年,致力于利用最先进的人工智能技术赋能健康领域的产品和服务。创始团队由中国医疗器械研发领域的领军人物和人工智能领域的顶级科学家组成。 我们相信,真正的健康革命源于对生命科学底层逻辑的突破。在智界探索,我们不止于用AI优化现有方案,我们更致力于开创前所未有的健康科技,以帮助人们更健康地生活。 AIxHealthcare Lab was founded in 2024 with a mission to Leveraging AI to enhance human health and well-being. Our founding team consists of pioneers in China's medical device R&D sector and leading scientists in the field of AI. We believe true healthcare transformation stems from breakthroughs in the fundamental logic of life sciences. At AIxHealthcare Lab, rather than simply optimizing existing solutions, we are creating groundbreaking health technologies to help people live healthier lives. 1. AI赋能代谢科学  技术挑战: 代谢健康是一个受饮食、运动、睡眠、压力、身体状态等多重因素影响的复杂动态系统,难以用单一指标衡量,而且每一个人的生活方式都是个性化的,目前无论是医院,或任何一个机构,都无法给用户提供系统、全面和个性化的的健康生活方案。  我们的技术: 通过多模态大语言模型的人工智能技术,以及其他穿戴式设备的数字化生命体征监测技术,我们的AI引擎能够构建个性化的数字代谢模型,并预测不同干预措施的效果,从而指导用户选择更健康、更容易依从的个性化生活方式。 2. AI赋能生物材料发现  技术挑战: 植入式医疗设备的性能与寿命,长期受限于材料的生物兼容性和性能的折中,传统的材料研发是昂贵且漫长的“试错”过程。  我们的技术: 我们的AI平台能够在计算机中模拟分子与生物环境的复杂相互作用。它能在超越人类经验的更大分子空间快速筛选数百万种潜在的聚合物结构,并从头设计出具有特定表面特性、电荷分布、亲水性等规格要求的全新材料,以实现最佳的生物兼容性和功能性能匹配度。 3. AI赋能生物分子设计  技术挑战: 诊断检测的准确度和速度,取决于抗体等识别分子的性能。传统抗体开发周期长、成本高,且难以保证对新靶点的最佳亲和力。  我们的技术: 我们的生成式AI引擎能够理解“抗原-抗体”结合的物理化学原理。它能直接从头设计出具有极高特异性和亲和力的全新抗体,并协同优化用于承载这些抗体的高分子膜介质,从源头确保检测的灵敏度和特异性。 1. AI-Powered Metabolic Science ​The Challenge: Metabolic health is a complex, dynamic system influenced by diet, exercise, sleep, stress, and physiological state—making it impossible to assess with single metrics. Current healthcare systems fail to deliver truly systematic, comprehensive, and personalized lifestyle interventions. ​Our Solution: By integrating multimodal large language models with wearable biosensing technologies, our AI engine constructs personalized digital metabolic twins. These models simulate how different interventions affect an individual’s unique physiology, guiding users toward optimized health decisions in real time. 2. AI-Driven Biomaterial Discovery ​The Challenge: Implantable medical devices face fundamental trade-offs between biocompatibility and performance. Traditional material development relies on costly, decades-long trial-and-error approaches. ​Our Solution: Our AI platform simulates molecular interactions within biological environments at unprecedented scale. It explores millions of polymer configurations beyond human intuition, then computationally designs novel materials with precisely engineered surface properties (charge distribution, hydrophilicity, etc.) to achieve ideal biocompatibility-functionality balance. 3. AI-Driven Biomolecular Design ​The Challenge: Diagnostic accuracy hinges on antibody performance, yet conventional development suffers from long cycles, high costs, and unpredictable affinity for novel targets. ​Our Solution: Our generative AI deciphers physicochemical principles of antigen-antibody binding. It designs hyper-specific antibody sequences de novo while co-optimizing the supporting polymer membranes—ensuring maximum sensitivity and specificity at the molecular architecture level. Slogan 健康无价,智慧无界,勇敢探索 AIxHealthcare Lab AI for better health and life Vision 帮助人们活出更健康的生活 Helping people live healthier lives Mission 通过AI赋能健康,改善人类生活质量 Leveraging AI to enhance human health and well-being