AI Design for Personalised Digital Therapy for early dementia

早期痴呆症个性化数字治疗的人工智能设计

• 批准号: 10048556
• 金额: $ 9.96万
• 依托单位: BRAINBERRY LTD
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10048556
• 关键词: AI; Design; Personalised; Digital; Therapy

Dementia is an increasing problem as people benefit from longer lifespans but lose cognitive senses and physical coordination with age. With medication only able to alleviate symptoms, the burden on the healthcare system and family support networks has grown rapidly.There are presently 47m people worldwide living with dementia and by 2030 this number will be 75m. Every 3 seconds, a patient develops dementia, and there are 10 million new cases every year around the globe. The early intervention market is currently $818bn which is expected to rise to $2 trillion by 2030, because there is no cure of any types of dementia currently and it is an untapped market since the industry focuses on diagnosis & drug delivery for dementia.The current treatment of dementia comprises the use of anti-dementia drugs for Alzheimer's disease only, and the therapeutic needs of people with early dementia including preclinical dementia and mild cognitive impairment (MCI) remain highly unmet. The need for a cognitive improvement system for pre-symptoms & early dementia patients is unmet since no treatment is available especially for dementia.The proposed neurofeedback system is a self-management solution but also a therapeutic system that provides a cognitive map response for each game played which includes (1) cognitive scores and (2) brain profile responses. The cognitive map produced will help the user, carer and the clinician to understand the patients' cognitive enhancement and the brains' current capacity to adapt and prevent the dementia symptoms as a secondary tool.The benefits of the technology are: (1) non-invasive; (2) improved mental ability for dementia patients; (3) can provide early dementia treatment; (4) ensures patient's longer independence; (5) reduced reliance upon NHS and improves UK economy; and (6) will strengthen the UK as a leader in dementia research.

痴呆症是一个日益严重的问题，因为人们受益于更长的寿命，但随着年龄的增长而失去认知能力和身体协调能力。由于药物只能缓解症状，医疗保健系统和家庭支持网络的负担迅速增加。目前全球有 4700 万人患有痴呆症，到 2030 年这一数字将达到 7500 万。每 3 秒就有一名患者患上痴呆症，全球每年新增 1000 万例痴呆症病例。早期干预市场目前为 8180 亿美元，预计到 2030 年将增至 2 万亿美元，因为目前任何类型的痴呆症都无法治愈，而且由于该行业专注于痴呆症的诊断和药物输送，因此这是一个尚未开发的市场。痴呆症的治疗仅包括使用针对阿尔茨海默病的抗痴呆药物，早期痴呆症患者（包括临床前痴呆症和轻度认知障碍（MCI））的治疗需求仍然很高未满足。由于没有专门针对痴呆症的治疗方法，因此对症状前和早期痴呆症患者的认知改善系统的需求尚未得到满足。所提出的神经反馈系统是一种自我管理解决方案，也是一个为每个游戏提供认知图响应的治疗系统玩的内容包括 (1) 认知得分和 (2) 大脑概况反应。生成的认知图将帮助用户、护理人员和临床医生了解患者的认知增强情况以及大脑当前适应和预防痴呆症状的能力，作为辅助工具。该技术的好处是：（1）非-侵入性； (2)提高痴呆症患者的心理能力； (3)可以提供早期痴呆治疗； (4)保证患者较长时间的独立性； (5) 减少对 NHS 的依赖并改善英国经济； (6) 将加强英国在痴呆症研究领域的领先地位。