Deep learning for subtyping the Alzheimer's disease spectrum

被引：1
|
作者：
Romano, Michael F. [1 ,2 ,3 ]
Kolachalama, Vijaya B. [1 ,4 ,5 ]
机构：
[1] Boston Univ, Sch Med, Dept Med, Boston, MA 02118 USA
[2] St Elizabeths Med Ctr, Dept Med, Brighton, MA USA
[3] Tufts Univ, Sch Med, Dept Med, Boston, MA 02111 USA
[4] Boston Univ, Dept Comp Sci, 111 Cummington St, Boston, MA 02215 USA
[5] Boston Univ, Fac Comp & Data Sci, Boston, MA 02215 USA
来源：
TRENDS IN MOLECULAR MEDICINE | 2022年 / 28卷 / 02期
基金：
美国国家卫生研究院;
关键词：
D O I：
10.1016/j.molmed.2021.12.004
中图分类号：
Q5 [生物化学]; Q7 [分子生物学];
学科分类号：
071010 ; 081704 ;
摘要：
In a recent article from Cell Reports Medicine, Kwak et al. generate novel insights about subtyping cognitively impaired individuals based on structural imaging. Quantifying heterogeneity in Alzheimer's disease via subtyping could help us harness new disease-modifying therapies and improve patient care by providing a more targeted approach.
引用
收藏
页码：81 / 83
页数：3
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