Hong Kong University
Machine Learning Cancer Prognostic Tool Identifies MYC Gain as Glioma Drug Resistance Marker
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The open-source CELLO2 algorithm helped identify a subset of glioma patients at high risk for developing resistance to Merck's Temodar (temozolomide).
New data has demonstrated that DNA fragment size differences that discriminate preeclampsia from healthy controls can be detected using a lower-cost PCR method.
As an expert in zoonotic viruses, Poon has published an assay for SARS-CoV-2 as well as a characterization of early infection.
Secondary Glioblastoma Genomics Study Leads to Proposed Treatment Target
By profiling the mutation patterns in secondary GBM cases, researchers found recurrent MET alterations and attempted to target it with a MET kinase inhibitor.
GWAS Data Analysis Generates List of Candidate Drugs for Psychiatric Conditions
Researchers from Hong Kong imputed transcriptomes from GWAS data and compared them to drug-induced gene expression profiles.