Publications by authors named "J J BOREN"

Parkinson's disease is primarily marked by mitochondrial dysfunction and metabolic abnormalities. We recently reported that the combined metabolic activators improved the immunohistochemical parameters and behavioural functions in Parkinson's disease and Alzheimer's disease animal models and the cognitive functions in Alzheimer's disease patients. These metabolic activators serve as the precursors of nicotinamide adenine dinucleotide and glutathione, and they can be used to activate mitochondrial metabolism and eventually treat mitochondrial dysfunction.

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Purpose: We examined whether end-to-end deep-learning models could detect moderate (≥50%) or severe (≥70%) stenosis in the left anterior descending artery (LAD), right coronary artery (RCA) or left circumflex artery (LCX) in iodine contrast-enhanced ECG-gated coronary CT angiography (CCTA) scans.

Methods: From a database of 6293 CCTA scans, we used pre-existing curved multiplanar reformations (CMR) images of the LAD, RCA and LCX arteries to create end-to-end deep-learning models for the detection of moderate or severe stenoses. We preprocessed the images by exploiting domain knowledge and employed a transfer learning approach using EfficientNet, ResNet, DenseNet and Inception-ResNet, with a class-weighted strategy optimised through cross-validation.

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Article Synopsis
  • ApoB is the key protein found in LDL and other lipoproteins, playing a major role in their formation and link to atherosclerosis.
  • LDL contributes to plaque formation in arteries by entering the wall and triggering inflammatory responses through interaction with other molecules, leading to harmful processes like foam cell formation.
  • Research has identified potential interventions to combat atherosclerosis by lowering lipoprotein levels and addressing the inflammatory responses in the arterial wall.
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Article Synopsis
  • * A study analyzed 15,856 ECGs from emergency patients in Sweden and trained a convolutional neural network (ResNet) to predict troponin elevation, achieving an accuracy of 71.43% and a high negative predictive value of 0.8660.
  • * The model's promising performance suggests that similar neural networks could be used in emergency settings for rapid triage of patients suspected of having heart issues.
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Objectives: Paediatric Burkitt's lymphoma (pBL) is the most common childhood non-Hodgkin B-cell lymphoma. Despite the encouraging survival rates for most children, treating cases with relapse/resistance to current therapies remains challenging. CD38 is a transmembrane protein highly expressed in pBL.

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