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http://dx.doi.org/10.4103/sja.SJA_782_18 | DOI Listing |
Background: Coronary heart disease (CHD) and depression frequently co-occur, significantly impacting patient outcomes. However, comprehensive health status assessment tools for this complex population are lacking. This study aimed to develop and validate an explainable machine learning model to evaluate overall health status in patients with comorbid CHD and depression.
View Article and Find Full Text PDFAnal Chem
January 2025
Environment Research Institute, Shandong University, Qingdao 266237, China.
Globally, drug-impaired driving fatalities now exceed those from drunk driving, urging the need for on-site and roadside detection methods. In this study, a photothermal desorption and reagent-assisted low-temperature plasma ionization miniature ion trap mass spectrometer (PDRA-LTP-ITMS) was developed for on-site detection of drug-impaired driving. The pseudomultiple reaction monitoring (MRM) in PDRA-LTP-ITMS enables continuous ion selection during ion introduction and improved sensitivity to nearly 3-fold compared with the conventional full scan mode.
View Article and Find Full Text PDFJMIR Res Protoc
January 2025
Psychiatry Department, Weill Cornell Medicine, New York, NY, United States.
Background: Mental illness is one of the top causes of preventable pregnancy-related deaths in the United States. There are many barriers that interfere with the ability of perinatal individuals to access traditional mental health care. Digital health interventions, including app-based programs, have the potential to increase access to useful tools for these individuals.
View Article and Find Full Text PDFAnn Plast Surg
January 2025
Background: Digital nerve injuries significantly affect hand function and quality of life, necessitating effective reconstruction strategies. Autologous nerve grafting remains the gold standard due to its superior biocompatibility, despite recent advancements in nerve conduits and allogenic grafts. This study aims to propose a novel zone-based strategy for donor nerve selection to improve outcomes in digital nerve reconstruction.
View Article and Find Full Text PDFJ Chem Inf Model
January 2025
Geneis (Beijing) Co. Ltd., Beijing 100102, China.
Identification of potential drug-target interactions (DTIs) is a crucial step in drug discovery and repurposing. Although deep learning effectively deciphers DTIs, most deep learning-based methods represent drug features from only a single perspective. Moreover, the fusion method of drug and protein features needs further refinement.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!