Pak Wong

Prof. Pak Wong

orcid

Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
8 July 2021 in Nature Reviews Cancer
Verified
Journal Article
Closed access
PDF file
SMSamuel A. Vilchez Mercedes
Samuel A. Vilchez Mercedes
FBFederico Bocci
Federico Bocci
HLHerbert Levine
Herbert Levine
JOJose Onuchic
Jose Onuchic
MJMohit Kumar Jolly
Mohit Kumar Jolly
PWPak Wong
Pak Wong

8 May 2019 in Proceedings of the National Academy of Sciences
Verified
Journal Article
Open access
PDF file
HLHui Li
Hui Li
PTPeter Torab
Peter Torab
KMKathleen E. Mach
Kathleen E. Mach
CSChristine Surrette
Christine Surrette
MEMatthew R. England
Matthew R. England
PWPak Wong
Pak Wong
Significance: Drug-resistant pathogens are one of the major global health risks. However, conventional antimicrobial susceptibility testing (AST) approaches, which typically rely on overnight culture to isolate bacteria, require 3–5 days. Despite rapid pathogen identification techniques having been developed, the ability to rapidly determine bacteria susceptibility represents an unmet need in clinical microbiology. Existing rapid AST techniques are often designed based on a small panel of bacteria and the system neither provides information about the bacterial species nor distinguishes polymicrobial samples. By incorporating an adaptable microfluidic design, we demonstrate a phenotypic AST system that rapidly determines the existence of bacteria, classifies major classes of bacteria, detects polymicrobial samples, and identifies antimicrobial susceptibility directly from clinical samples at the single-cell level.

4 August 2022 in Nature Materials
Verified
Journal Article
Closed access
PDF file
YSYang Song
Yang Song
JSJennifer Soto
Jennifer Soto
BCBinru Chen
Binru Chen
THTyler Hoffman
Tyler Hoffman
WZWeikang Zhao
Weikang Zhao
SLSong Li
Song Li

2 February 2023 in Nature Reviews Methods Primers
Verified
Journal Article
Closed access
PDF file
HLHui Li
Hui Li
KHKuangwen Hsieh
Kuangwen Hsieh
PWPak Wong
Pak Wong
KMKathleen E. Mach
Kathleen E. Mach
JLJoseph C. Liao
Joseph C. Liao
TWTza-Huei Wang
Tza-Huei Wang

22 May 2020 in Science Advances
Verified
Journal Article
Open access
PDF file
HLHui Li
Hui Li
ESEugene Shkolyar
Eugene Shkolyar
Jing WangJing Wang
Jing Wang
SCSimon Conti
Simon Conti
APAlan C. Pao
Alan C. Pao
PWPak Wong
Pak Wong
A bioinspired system enables rapid, near-patient urine testing for metabolic evaluation of stone formers.

1 August 2017 in SLAS Technology
Verified
Journal Article
Open access
PDF file
JGJian Gao
Jian Gao
LJLindsie Jeffries
Lindsie Jeffries
KMKathleen E. Mach
Kathleen E. Mach
DCDavid W. Craft
David W. Craft
NTNeal J. Thomas
Neal J. Thomas
PWPak Wong
Pak Wong
Accurate and timely detection of bacterial pathogens will improve the clinical management of infections. Herein, we demonstrate an electrochemical biosensor that directly detects bacteria in human blood samples, resulting in the rapid diagnosis of a bloodstream infection. The multiplex biosensor detects the species-specific sequences of the 16S ribosomal RNA of bacteria for pathogen identification in physiological samples without preamplification. The analytical performance characteristics of the biosensor, including the limit of detection and probe cross-reactivity, are evaluated systematically. The feasibility of the biosensor for a diagnosis of a bloodstream infection is demonstrated by identifying bacterial clinical isolates spiked in whole blood and blood culture samples that were tested positive for bacteria. The electrochemical biosensor correctly identifies all the species in the samples with 100% concordance to microbiological analysis.