CLAIR: first in class non-invasive test for outcome prediction and stratification in dementia

尽管痴呆症患者人数迅速增加，但诊断困难重重。大约三分之一的痴呆症患者没有得到诊断。即使是被确诊的人，在出现症状和接受诊断之间通常也会延迟数年。这些问题意味着，人们无法获得导致其症状的信息，也无法获得治疗。第一种可以减缓痴呆症进展的治疗方法刚刚在美国被批准使用，这使得及时准确地诊断痴呆症成为当务之急。痴呆症诊断延迟和不准确的一个重要原因是，人眼无法从脑部扫描中可靠地分辨出谁患有早期痴呆症，谁将来可能会出现记忆退化。我们建议使用人工智能从常规的脑部扫描中获取这些信息。AINOSTICS的技术代表了一项突破，它将提供一个自动化的、个性化的医疗保健平台，利用在医疗保健和研究环境中已经常规获得的多模态成像和非成像数据，协助痴呆症的临床诊断；对病人的治疗和重要的是，在新疗法的发展中都很有用。AINOSTICS的技术可以自动智能地分析扫描结果，提供有关关键组织和器官结构的敏感而准确的微观结构信息，然后将这些信息与健康人群的信息进行比较，以检测疾病的特征。我们希望AINOSTICS的软件成为临床实践和药物开发的常规部分，因为我们的智能分析结果将为临床医生、研究人员和成像中心提供一种方便、经济的方法，以获得可靠、定量和客观的诊断和预后数据。对于严重的全球性疾病，AINOSTICS的技术除了对疾病改善疗法的发展做出重要贡献外，还具有节省患者评估时间、加快临床路径、标准化护理质量和改善患者预后的潜力。

Despite rapidly increasing numbers of people living with dementia, there are substantial difficulties with diagnosis. Around a third of people living with dementia have not received a diagnosis. Even in people who are diagnosed, there is typically a delay of years between developing symptoms and receiving a diagnosis. These problems mean that people are not empowered by receiving information about what is causing their symptoms, and are unable to access treatments. The first treatment that could slow the progression of dementia has just been approved for use in the USA, making a timely and accurate diagnosis of dementia an urgent priority.One important reason for delayed and inaccurate dementia diagnosis is that the human eye is not reliably able to tell from brain scans who has early dementia, and who is likely to have a deterioration in their memory in the future. We propose to use artificial intelligence to derive this information from routine brain scans.AINOSTICS' technology represents a breakthrough that would provide an automated, and personalised healthcare platform for assisting the clinical diagnosis of dementia using multi-modal imaging and non-imaging data that are already routinely acquired in healthcare and research settings; useful for both the treatment of patients and importantly, in the development of novel therapeutics.AINOSTICS' technology can automatically and intelligently analyse scans to provide sensitive and accurate micro-structural information about key tissue and organ structures and then compare this with information from healthy populations to detect the signatures of disease. We intend for AINOSTICS' software to become a routine part of clinical practice and drug development as the results of our intelligent analysis will provide clinicians, researchers, and imaging centres a convenient and cost-effective means to get reliable, quantitative and objective diagnostic and prognostic data.For serious global diseases, AINOSTICS' technology has the potential to save time during patient assessments, accelerate clinical pathways, standardise the quality of care and improve patient outcomes in addition to making important contributions to the development of disease-modifying therapeutics.