Pain in general and headache in particular are characterized by a change in activity in brain areas involved in pain processing. The therapeutic challenge is to identify drugs with molecular targets that restore the healthy state, resulting in meaningful pain relief or even freedom from pain. Differ...
GO and KEGG Pathway enrichment analyses were conducted on DEPs using the hypergeometric distribution algorithm to identify significantly enriched functional entries. The DEPs were analyzed in the STRING database to obtain the interaction relationships. Full spectrum metabolism—dual platform metabolomics ...
However it must be considered an effective option in treating patients in whom these methods fail and as a challenging alternative to open surgery in the management algorithm for abdominal emergencies.doi:10.1007/s00464-007-9602-4F. Agresta
First, we built a multi-label text classifier to isolate the hierarchical semantic information from each symptom description and count the corresponding normalization symptoms and filter the candidate set. Then we designed a text matching model of mixed multi-granularity language features with an ...
AI has been applied to both primary and secondary bone tumo... M Lacroix,T Aouad,J Feydy,... - 《Diagnostic & Interventional Imaging》 被引量: 0发表: 2023年 Accuracy of an artificial intelligence algorithm for detecting moderate-to-severe vertebral compression fractures on abdominal and ...
If abdominal pain is strongly suggestive of acute pancreatitis but the serum amylase and/or lipase activity is less than 3 times the upper limit of normal, characteristic findings on a CECT or MRI are required to confirm the diagnosis[6]. In order to assess and predict local or systemic effe...
(2020) [18] conduct as real a clinical trial as possible to evaluate the performance of an algorithm designed in some U.S. health systems. To make predictions, they consider admissions to the Intensive Care Unit (ICU), invasive ventilation cases, and deaths. The advantage is the ability to...
GloVeFootnote5is an unsupervised learning algorithm to generate vector representations for words [47]. Training is performed on aggregated word co-occurrence statistics from a large corpus, and the resulting representations show interesting linear substructures of the word vector space. We use the pretra...
Fig. 2: Proposed TA-TMA diagnostic and treatment algorithm. Withdrawal of CNI/mTORi As CNI can contribute to the development of TA-TMA, they are commonly withdrawn upon recognition of the syndrome [19]; some centers even report addition of CYP3A4 targeted agents to induce clearance [4]. Ho...
The QSARINS program [52,53,66], which uses the Ordinary Least Squares (OLS) approach and Genetic Algorithm (GA) for feature selection, was used to create QSAR models for the inhibitory potential of 25 compounds employing divided and undivided datasets. Out of the total descriptors calculated wit...