Publications by authors named "Y-C-D Chen"

Background: The emergence of induced pluripotent stem cells (iPSCs) offers a promising approach for replacing damaged neurons and glial cells, particularly in spinal cord injuries (SCI). Despite its merits, iPSC differentiation into spinal cord progenitor cells (SCPCs) is variable, necessitating reliable assessment of differentiation and validation of cell quality and safety. Phenotyping is often performed via label-based methods including immunofluorescent staining or flow cytometry analysis.

View Article and Find Full Text PDF

Objective: We evaluated the cost-effectiveness of a bundled intervention including an antimicrobial stewardship program (ASP), procalcitonin (PCT) testing, and rapid blood culture identification (BCID), compared with pre-implementation standard care in critically ill adult patients with sepsis.

Methods: We conducted a decision tree model-based cost-effectiveness analysis alongside a previously published pre- and post-implementation quality improvement study. We adopted a public Canadian healthcare payer's perspective.

View Article and Find Full Text PDF
Article Synopsis
  • AI readers show comparable effectiveness to individual radiologists in detecting breast cancer from mammograms, but fall short when matched against multi-reader systems used in screening programs in countries like Australia, Sweden, and the UK.
  • A study utilizing a high-quality dataset from Victoria, Australia, simulates five AI-integrated screening pathways, finding that AI functioning as a second reader or high-confidence filter can enhance screening outcomes, improving sensitivity and specificity by a small margin.
  • While automation bias negatively impacts performance in multi-reader situations, it can benefit single-reader cases; this research suggests promising strategies for integrating AI in mammography screening and highlights the need for further studies before clinical use.
View Article and Find Full Text PDF

Major depressive disorder (MDD) is a heterogeneous clinical syndrome with widespread subtle neuroanatomical correlates. Our objective was to identify the neuroanatomical dimensions that characterize MDD and predict treatment response to selective serotonin reuptake inhibitor (SSRI) antidepressants or placebo. In the COORDINATE-MDD consortium, raw MRI data were shared from international samples ( = 1,384) of medication-free individuals with first-episode and recurrent MDD ( = 685) in a current depressive episode of at least moderate severity, but not treatment-resistant depression, as well as healthy controls ( = 699).

View Article and Find Full Text PDF

Artificial intelligence (AI) has shown promise for diagnosing prostate cancer in biopsies. However, results have been limited to individual studies, lacking validation in multinational settings. Competitions have been shown to be accelerators for medical imaging innovations, but their impact is hindered by lack of reproducibility and independent validation.

View Article and Find Full Text PDF

Background: Clinical trials in heart failure have focused on the improvement in symptoms or decreases in the risk of death and other cardiovascular events. Little is known about the effect of drugs on the risk of clinical deterioration in surviving patients.

Methods And Results: We compared the angiotensin-neprilysin inhibitor LCZ696 (400 mg daily) with the angiotensin-converting enzyme inhibitor enalapril (20 mg daily) in 8399 patients with heart failure and reduced ejection fraction in a double-blind trial.

View Article and Find Full Text PDF

Multiphoton excitation fluorescence microscopy (MPM) can image certain molecular processes in vivo. In the eye, fluorescent retinyl esters in subcellular structures called retinosomes mediate regeneration of the visual chromophore, 11-cis-retinal, by the visual cycle. But harmful fluorescent condensation products of retinoids also occur in the retina.

View Article and Find Full Text PDF

Traditional microbial typing technologies for the characterization of pathogenic microorganisms and monitoring of their global spread are often difficult to standardize and poorly portable, and they lack sufficient ease of use, throughput, and automation. To overcome these problems, we introduce the use of comparative sequencing by MALDI-TOF MS for automated high-throughput microbial DNA sequence analysis. Data derived from the public multilocus sequence typing (MLST) database (http://pubmlst.

View Article and Find Full Text PDF