Chi-Sing Ho
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View article: 1283 Applying machine vision to empower preclinical development of immunotherapies in patient-derived organoid models of solid tumors
1283 Applying machine vision to empower preclinical development of immunotherapies in patient-derived organoid models of solid tumors Open
Background Paradigm shifting next-generation immuno-oncology therapeutics such as CAR-T cells and bispecific engagers are rapidly gaining interest as investigational therapies. However, the discovery and preclinical development of these th…
View article: Rapid intraoperative diagnosis of pediatric brain tumors using Raman spectroscopy: A machine learning approach
Rapid intraoperative diagnosis of pediatric brain tumors using Raman spectroscopy: A machine learning approach Open
Background Surgical resection is a mainstay in the treatment of pediatric brain tumors to achieve tissue diagnosis and tumor debulking. While maximal safe resection of tumors is desired, it can be challenging to differentiate normal brain …
View article: 62 Applying machine vision to empower preclinical development of cell engager and adoptive cell therapeutics in patient-derived organoid models of solid tumors
62 Applying machine vision to empower preclinical development of cell engager and adoptive cell therapeutics in patient-derived organoid models of solid tumors Open
Background Cell engager and adoptive cell therapeutics have emerged as efficacious and durable treatments in patients with B-cell malignancies. Though many analogous strategies are under development in solid tumors, none have received appr…
View article: Plasmonic and Electrostatic Interactions Enable Uniformly Enhanced Liquid Bacterial Surface-Enhanced Raman Scattering (SERS)
Plasmonic and Electrostatic Interactions Enable Uniformly Enhanced Liquid Bacterial Surface-Enhanced Raman Scattering (SERS) Open
Surface-enhanced Raman spectroscopy (SERS) is a promising cellular identification and drug susceptibility testing platform, provided it can be performed in a controlled liquid environment that maintains cell viability. We investigate bacte…
View article: Toward rapid infectious disease diagnosis with advances in surface-enhanced Raman spectroscopy
Toward rapid infectious disease diagnosis with advances in surface-enhanced Raman spectroscopy Open
In a pandemic era, rapid infectious disease diagnosis is essential. Surface-enhanced Raman spectroscopy (SERS) promises sensitive and specific diagnosis including rapid point-of-care detection and drug susceptibility testing. SERS utilizes…
View article: Interpretable Signal Analysis with Knockoffs Enhances Classification of Bacterial Raman Spectra
Interpretable Signal Analysis with Knockoffs Enhances Classification of Bacterial Raman Spectra Open
Sophisticated machine learning models are widely applied to signal data because they can detect complex patterns and leverage them effectively to make predictions. However, such models tend to be difficult to interpret, which is particular…
View article: Rapid identification of pathogenic bacteria using Raman spectroscopy and deep learning
Rapid identification of pathogenic bacteria using Raman spectroscopy and deep learning Open
Raman optical spectroscopy promises label-free bacterial detection, identification, and antibiotic susceptibility testing in a single step. However, achieving clinically relevant speeds and accuracies remains challenging due to weak Raman …
View article: Rapid bacterial identification based on surface-enhanced Raman scattering and machine learning (Conference Presentation) (Withdrawal Notice)
Rapid bacterial identification based on surface-enhanced Raman scattering and machine learning (Conference Presentation) (Withdrawal Notice) Open
Publisher’s Note: This conference presentation, originally published on 14 March 2018, was withdrawn per author request on 10 April 2018.
View article: Localized fields, global impact: Industrial applications of resonant plasmonic materials
Localized fields, global impact: Industrial applications of resonant plasmonic materials Open