Public Health and Health Professions
Xiao Lab
Led by Feifei Xiao · Biostatistics
What we study
The lab studies single-cell sequencing and spatial omics to understand cell-specific mechanisms in diseases like ALS, using statistical modeling and AI techniques. They also explore causal effects of risk factors on diseases through Mendelian randomization.
What working here is like
- Computational
- Coding required
- Project
- 1
- Papers
- 5
Current projects
Combining genetics and single-cell multiomics to uncover cell-specific ALS mechanisms
Using single-cell sequencing to study ALS mechanisms in different cell types.
Summaries are written by AI in plain language from public symposium abstracts and may be imperfect.
Recent papers, explained
- A murine model of sepsis induces age- and sex-specific chromatin remodeling in myeloid-derived suppressor cells
2026 · Frontiers in Immunology
Studied how sepsis changes immune cells in young and old mice, looking at DNA changes in different groups.
- Preterm birth skews the developmental trajectory of myeloid-derived suppressor cells in the first 48 hours of life: single-cell transcriptomics and inferred intercellular communication
2026 · Molecular Medicine
Analyzed immune cells in preterm and full-term babies to see how prematurity changes their development.
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- Innate immune training in the neonatal response to sepsis
2025 · Molecular Medicine
Found that a vaccine helps babies fight infections by training their immune system to react better.
- External validation of an AI-based preoperative frailty index using real-world data
2025 · The Journals of Gerontology Series A
Tested a new AI tool to predict how frail older patients are before surgery using real-world data.
- Monocyte Anisocytosis Can Discriminate Between Sepsis and Sterile Inflammation, but not Mortality, in Critically Ill Surgical/Trauma Patients: A Secondary Prospective Analysis
2025 · Critical Care Explorations
Checked if a blood test could tell the difference between sepsis and other inflammation in sick patients.
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
Feifei Xiao hasn't set up this page yet. Their UF Scholars profile lists their publications.