5年,从Nati拨款近600万美元onal Institute on Aging will allow investigators with The University of Texas Health Science Center at Houston (UTHealth) School of Biomedical Informatics to use artificial intelligence (AI) to advance Alzheimer’s disease research.

The grant was awarded toDegui Zhi, PhD, associate professor atUTHealth School of Biomedical Informatics，他将与研究人员合作进行该项目，标题为“为阿尔茨海默氏病的深度学习衍生beplay苹果手机能用吗的神经影像型遗传学。”

“Alzheimer’s disease puts a tremendous burden and increasing demand on patients, caregivers, and health care resources,” said Zhi. “I look forward to working with a very talented research team to better understand this devastating disease and determine new treatment options.”

beplay苹果手机能用吗研究人员计划开发新的，深度学习的方法，以从神经影像数据中推导出与疾病的生物学标志物，并将这些标记（称为openophenotypes）与遗传数据相关联。

Endophenotypes are biological traits or markers that are easier to detect than genetic sequences. With their approach, Zhi and his colleagues expect to discover new genes relevant to Alzheimer’s disease. This discovery may lead to understanding the molecular basis of the disease and new potential treatment options.

“尽管神经影像学一直是阿尔茨海默氏病研究的遗传关联研究的靶标，但现有方法通常集中于神经放射学家开发的相对较少的成像表型。beplay苹果手机能用吗我们的目标是利用最先进的深层神经网络来发现将基因与阿尔茨海默氏病联系起来的大量体积神经影像学数据的复杂模式。” Zhi说。

Additional collaborators on the project from the School of Biomedical Informatics include Han Chen, PhD; Luca Giancardo, PhD; and Assaf Gottlieb, PhD; along with Myriam Fornage, PhD, withMcGovern Medical Schoolat UTHealth. Shuiwang Ji, PhD, with Texas A&M University, is also part of the research team.

Zhi和Chen与UTHealth School of Public Health。Zhi，Fornage，Chen和Gottlieb也是The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences。

“This investigation is only possible with an incredible multidisciplinary team. The researchers on the team have extensive expertise in bioinformatics, brain MRI data analysis, and genome-wide association study in Alzheimer’s disease, and deep learning,” Zhi said.

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