Author

Lili He

Cincinnati Children's Hospital Medical CenterPrimary ORCID profile (0000-0002-4118-5377 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Same name, identified by ORCID

Lili HeiD1 paper · Hebei General Hospital

Biology Disciplines

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Microbiology· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Assay:metabolomics· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Elveda GozdasiD· 1 shared Guiqiu Li· 1 shared Nehal A. ParikhiD· 1 shared Qiaowen Yang· 1 shared S. M. Hadi HosseiniiD· 1 shared Wenzheng Wang· 1 shared Xiulan LaiiD· 1 shared Ying Wei· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperNeuroscience

Elveda GozdasORCID

Mutual co-authors in cluster

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2 papers

Recent·Most cited

Functional connectivity patterns as an early indicator of later very early preterm outcomes

Elveda Gozdas, Nehal A. Parikh, Lili He, S. M. Hadi Hosseini

The paper uses connectome-based predictive modeling to show that early functional brain connectivity in preterm infants predicts later neurocognitive outcomes.

Developmental Cognitive Neuroscience · Mar 15, 2026Peer-reviewedNeuroscience

Multi-Omics and Machine Learning-Based Profiling of Severity Signatures in Mycoplasma Pneumoniae Infection in Children

Guiqiu Li, Ying Wei, Wenzheng Wang, Zhili Hu, Qiaowen Yang, Lili He, Yun Gao, Xiulan Lai

This study identifies severity signatures in Mycoplasma pneumoniae infection using multi-omics and machine learning, revealing key biomarkers and pathways associated with severe disease in children.

iScience · Jan 31, 2026Peer-reviewedMicrobiology