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Empowering healthcare professionals with no-code artificial intelligence platforms for model development, a practical demonstration for pathology.
Discoveries (Craiova)
March 2024
Department of Pathology, Westchester Medical Center, 100 Woods Rd, Valhalla, NY 10595, USA.
Artificial intelligence (AI) and machine learning based applications are thought to impact the practice of healthcare by transforming diagnostic patient management approaches. However, domain knowledge, clinical and coding expertise are likely the biggest challenge and a substantial barrier in developing practical AI models. Most informatics and AI experts are not familiar with the nuances in medicine, and most doctors are not efficient coders.
View Article and Find Full Text PDFThe Need for Nuance: High-Sensitivity Troponin Levels in ONCAB vs OPCAB Patients.
Can J Cardiol
December 2024
Department of Cardiac Surgery, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA. Electronic address:
A comparison of electromyography techniques: surface versus intramuscular recording.
Eur J Appl Physiol
October 2024
Faculty of Dentistry, Department of Physiology, Istanbul Gelisim University, Avcilar, Istanbul, Türkiye.
This review is a comprehensive guide for electromyography (EMG) researchers, providing a comparison of skin EMG recording (surface EMG: sEMG and high-density sEMG: HD-sEMG) and intramuscular EMG recording (multi-motor unit-MMU and single motor unit electromyography-SMU). We delve into the nuances of techniques, highlighting their strengths and limitations in quantifying muscle activation during dynamic and static conditions. We first examine how EMG signals change with time, focussing on the interplay between motor unit synchronisation and signal amplitude.
View Article and Find Full Text PDFEstimation of Serum Malondialdehyde (a Marker of Oxidative Stress) as a Predictive Biomarker for the Severity of Coronary Artery Disease (CAD) and Cardiovascular Outcomes.
Cureus
September 2024
Biochemistry, Pro-Gene Diagnostics and Research Laboratory, Mardan, PAK.
Background Coronary artery disease (CAD) is influenced by oxidative stress, which is a critical yet often overlooked factor in disease progression. While traditional biomarkers such as cholesterol levels and blood pressure are commonly used, they do not fully capture oxidative damage. Malondialdehyde (MDA), a byproduct of lipid peroxidation, offers additional insights into oxidative stress and CAD severity.
View Article and Find Full Text PDFBead-by-bead normalization of single antigen assays: A necessary step for accurate detection of weak anti-HLA antibodies.
Eur J Immunol
November 2024
Laboratoire d'Immunologie et Histocompatibilité, Hôpital Saint Louis, Paris, France.
Ascertaining the presence of weakly positive anti-HLA donor-specific antibodies (DSA) in organ transplantation with multiplex single antigen beads assays may be challenging despite their high sensitivity due to technical variability issues. Through extensive datasets of Next-Generation Sequencing HLA typings and single antigen analyses, we reassessed the mean fluorescence intensity (MFI) positivity threshold of the assay to enhance accuracy. By showing that some beads were more prone to false positivity than others, we propose a nuanced approach that accounts for nonspecific intrinsic reactivities at the HLA antigen level, that is, on a bead-by-bead basis, as it enhances assay precision and reliability.
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