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Application of Big Data and Artificial Intelligence technologies to dementia prevention research: an opportunity for low-and-middle-income countries

机译:大数据和人工智能技术在痴呆症预防研究中的应用:中低收入国家的机会

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摘要

It is estimated that about 66% of the number of people with dementia globally live in regions within the low-and-middle-income countries (LMIC). The estimates further suggest that about 1 million additional cases are recorded annually in these LMICs, with approximately 60-70% of the dementia cases being due to Alzheimer disease, AD [ ]. Despite this high incidence of AD, treatment options are currently limited. This is notwithstanding the fact that numerous clinical trials have taken place, are still on going or planned [ ]. However, the rate of failure of clinical trials and predictions based on available results from randomised control trials suggest that an immediate breakthrough to obtaining treatment drugs for AD is unlikely [ ].
机译:据估计,全球痴呆症患者中约有66%生活在中低收入国家(LMIC)内的地区。这些估计进一步表明,这些低收入和中等收入国家每年再记录约100万例痴呆症病例,其中约60-70%的痴呆症病例是由AD引起的。尽管AD的发病率很高,但是治疗选择目前受到限制。尽管事实上已经进行了许多临床试验,但仍在进行或计划中[]。然而,基于随机对照试验的可用结果得出的临床试验和预测失败率表明,不太可能立即突破获得用于AD的治疗药物的机会[]。

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