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Application of attenuated total reflection-Fourier transform infrared spectroscopy in semi-quantification of blood lipids and characterization of the metabolic syndrome.
PLoS One
January 2025
Division of Cardiology, Department of Internal Medicine, Kaohsiung Medical University Gangshan Hospital, Kaohsiung, Taiwan.
Background/purpose: Dyslipidemia, a hallmark of metabolic syndrome (MetS), contributes to atherosclerotic and cardiometabolic disorders. Due to days-long analysis, current clinical procedures for cardiotoxic blood lipid monitoring are unmet. This study used AI-assisted attenuated total reflectance Fourier transform infrared (ATR-FTIR) spectroscopy to identify MetS and precisely quantify multiple blood lipid levels with a blood sample of 0.
View Article and Find Full Text PDFImproving myocardial infarction diagnosis with Siamese network-based ECG analysis.
PLoS One
January 2025
School of Computer Science & Engineering (SCOPE), VIT-AP University, Amaravati, Andhra Pradesh, India.
Background: Heart muscle damage from myocardial infarction (MI) is brought on by insufficient blood flow. The leading cause of death for middle-aged and older people worldwide is myocardial infarction (MI), which is difficult to diagnose because it has no symptoms. Clinicians must evaluate electrocardiography (ECG) signals to diagnose MI, which is difficult and prone to observer bias.
View Article and Find Full Text PDFDistinguishing classes of neuroactive drugs based on computational physicochemical properties and experimental phenotypic profiling in planarians.
PLoS One
January 2025
Department of Biology, Swarthmore College, Swarthmore, Pennsylvania, United States of America.
Mental illnesses put a tremendous burden on afflicted individuals and society. Identification of novel drugs to treat such conditions is intrinsically challenging due to the complexity of neuropsychiatric diseases and the need for a systems-level understanding that goes beyond single molecule-target interactions. Thus far, drug discovery approaches focused on target-based in silico or in vitro high-throughput screening (HTS) have had limited success because they cannot capture pathway interactions or predict how a compound will affect the whole organism.
View Article and Find Full Text PDFrecovered from hospital patients, livestock and dogs in Nigeria share near-identical genome sequences.
Microb Genom
January 2025
Leibniz Institute DSMZ - German Collection of Microorganisms and Cell Cultures, Microbial Genome Research, Braunschweig, Germany.
Genomic data on from the African continent are currently lacking, resulting in the region being under-represented in global analyses of infection (CDI) epidemiology. For the first time in Nigeria, we utilized whole-genome sequencing and phylogenetic tools to compare isolates from diarrhoeic human patients (=142), livestock (=38), poultry manure (=5) and dogs (=9) in the same geographic area (Makurdi, north-central Nigeria) and relate them to the global population. In addition, selected isolates were tested for antimicrobial susceptibility (=33) and characterized by PCR ribotyping (=53).
View Article and Find Full Text PDFGraph convolution network-based eeg signal analysis: a review.
Med Biol Eng Comput
January 2025
School of Control Science and Engineering, Tiangong University, Tianjin, 300387, China.
With the advancement of artificial intelligence technology, more and more effective methods are being used to identify and classify Electroencephalography (EEG) signals to address challenges in healthcare and brain-computer interface fields. The applications and major achievements of Graph Convolution Network (GCN) techniques in EEG signal analysis are reviewed in this paper. Through an exhaustive search of the published literature, a module-by-module discussion is carried out for the first time to address the current research status of GCN.
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