LIP_Real-time moLecular dIagnosis of Oral Precancer

口腔癌是严重的限制生命的疾病，特别是在晚期确诊时。在癌前(不典型增生)或早期癌症阶段尽早发现是降低口腔癌患者死亡率的唯一最重要的措施。LIP的目标是探索一种新的偏振拉曼技术在活体实时口腔癌前诊断中的创新潜力。偏振拉曼光谱是一种无标记光学技术，可以提供组织结构/分子对称性和成分的逐点振动分子指纹“光学活组织检查”。LIP将通过Beyond最先进的高度创造性的组合，将专利的偏振拉曼技术与源自ERC研究的数据驱动的人工智能相结合，在医学上提供即时的技术应用。为了满足尚未得到满足的临床需求，LIP推动了首次临床试验，演示和验证了口腔偏振拉曼光谱在40名患者体内的癌前诊断。数据驱动的人工智能将使拉曼光谱的速度提高约x50，并创建稳健的概率算法，用于在100毫秒内实时诊断口腔癌前病变。LIP为技术开发奠定了基础，并概述了临床验证和原型实施的计划。总之，这些活动将为免标签微创诊断和未来的商业化机会在更广泛的市场上提供一个切入点。

Oral cancers are severe life-limiting diseases, particularly when diagnosed in the later stages. Earliest possible detection in precancer (dysplasia) or early cancer stages is the single most important measure for reducing oral cancer patients' mortality rates. The goal of LIP is to explore the innovative potential of a new polarized Raman technique for in vivo real-time oral precancer diagnosis. Polarized Raman spectroscopy is a label-free optical technique that can provide a point-wise vibrational molecular fingerprint "optical biopsy" of both tissue structure/molecular symmetries and composition.LIP will deliver immediate technological application in medicine via beyond state-of-the-art highly inventive combination of a patented polarized Raman technology and data driven AI originating from ERC research. To meet the unmet clinical need LIP facilitates the first clinical trial demonstration and validation of polarized Raman spectroscopy in the oral cavity for in vivo precancer diagnostics in 40 patients. Data driven AI will be used empower Raman spectroscopy with ~x50 improvement in speed and create robust probabilistic algorithms for real-time diagnosis of oral precancers within 100 ms.LIP lays the groundwork for technological exploitation and outlines a programme of clinical validation and prototype implementation. Altogether, these activities will provide an entry point in the broader market for label-free minimally invasive diagnostics and future commercialisation opportunities.