Tristan Tham

This study uses Super Learner ensemble modeling on CPTAC proteomic data to predict survival in HNSCC, finding that the ensemble method performs stably with high C-index values.

This paper conducts a systematic review and meta-analysis to assess HPV16, HPV18, p16, and E6/E7 mRNA detection rates in nasopharyngeal cancer, finding pooled prevalence rates and attributing fractions for these markers.

This study examines the relationship between systemic inflammatory markers and head and neck tumor characteristics, finding that elevated PLR is associated with advanced T and N stages.