Publications by authors named "M C Moreno-Garcia"
Article Synopsis
- The quality and quantity of datasets are crucial for prediction models, as more data can lead to increased computational needs and potentially harmful noise that affects performance.
- Instance selection techniques help enhance model performance by improving the dataset quality while reducing its size and computational costs.
- This study introduced a new method for selecting informative MRI slices to analyze Alzheimer's disease, validated through convolutional neural networks, yielding high accuracy in distinguishing between normal cognition and Alzheimer's.
Background And Objective: Heart failure (HF) is a syndrome of epidemic proportions and one of the main reasons for hospital admission. Patient registries provide real-world clinical practice information which is complementary to clinical trials. RICA-2 is a registry of the Spanish Society of Internal Medicine.
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- Missed lesions during colonoscopy can lead to post-procedure colorectal cancer, prompting the development of contrast-enhanced technologies like linked color imaging (LCI) for better polyp detection.
- A national, randomized trial compared polyp detection rates between standard white-light imaging (WLI) and LCI in the right colon, involving 764 patients across 10 endoscopy units.
- Results showed no significant difference in the proximal adenoma miss rate or miss rates for other types of lesions between the WLI-first and LCI-first groups, challenging the idea that LCI improves detection in routine colonoscopy.
Tissue repair is disturbed in fibrotic diseases like systemic sclerosis (SSc), where the deposition of large amounts of extracellular matrix components such as collagen interferes with organ function. LAIR-1 is an inhibitory collagen receptor highly expressed on tissue immune cells. We questioned whether in SSc, impaired LAIR-1-collagen interaction is contributing to the ongoing inflammation and fibrosis.
View Article and Find Full Text PDFExploring the influence of baseline rheumatoid factor levels on TNF inhibitor retention rate in patients with rheumatoid arthritis: a multicentre and retrospective study.
RMD Open
February 2024
Objective: To assess whether the retention rate of certolizumab pegol (CZP) was longer than that of other tumour necrosis factor inhibitors (TNFi) based on baseline rheumatoid factor (RF) levels.
Methods: Longitudinal, retrospective and multicentre study including patients with RA who were treated with any TNFi (monoclonal antibodies (mAB), etanercept (ETA) or CZP). Log-rank test and Cox regressions were conducted to evaluate the retention rate in the three groups according to the level of RF, with the third quartile of the baseline levels used as cut-off: <200 (