Tianqi Li

发表

Using machine learning to predict COVID-19 infection and severity risk among 4510 aged adults: a UK Biobank cohort study

T. Waterboer, J. Mochel, A. Willette, 2022, Scientific Reports.

Bioenergetic and vascular predictors of potential super-ager and cognitive decline trajectories—a UK Biobank Random Forest classification study

S. Moody, G. Hu, J. Mochel, 2022, GeroScience.

Associations Between Insulin-Like Growth Factor-1 and Resting-State Functional Connectivity in Cognitively Unimpaired Midlife Adults

A. Willette, C. Pappas, B. Klinedinst, 2023, Journal of Alzheimer's disease : JAD.

Inflammation, negative affect, and amyloid burden in Alzheimer’s disease: Insights from the kynurenine pathway

R. Dantzer, J. Mochel, A. Willette, 2021, Brain, Behavior, and Immunity.

Neuroinflammation, Depressive Affect, and Amyloid Burden in Alzheimer's Disease: Insights from the Kynurenine Pathway

R. Dantzer, J. Mochel, A. Willette, 2020, medRxiv.

Using machine learning to predict COVID-19 infection and severity risk among 4,510 aged adults: a UK Biobank cohort study

T. Waterboer, A. Willette, N. Brenner, 2021, medRxiv.

Adiposity and insulin resistance moderate the links between neuroelectrophysiology and working and episodic memory functions in young adult males but not females

J. Grundy, A. Willette, B. Klinedinst, 2023, Physiology & Behavior.

APOE, TOMM40, and sex interactions on neural network connectivity

K. Nho, R. Swerdlow, A. Willette, 2021, Neurobiology of Aging.

Vitamin B6, B12, and Folate’s Influence on Neural Networks in the UK Biobank Cohort

A. Willette, Tianqi Li, Juan Pedro Steibel, 2024, Nutrients.

Alzheimer’s Disease Genetic Influences Impact the Associations between Diet and Resting-State Functional Connectivity: A Study from the UK Biobank

A. Willette, Mohammad Fili, Qian Wang, 2023, Nutrients.