For you and your fish. Not only will you need different types of medication to combat the other diseases, but your fish’s chances of recovery greatly diminish.This is why it’s so important to get your water q
Bipolar disorders (BDs) are among the leading causes of morbidity and disability. Objective biological markers, such as those based on brain imaging, could aid in clinical management of BD. Machine learning (ML) brings neuroimaging analyses to individual
Although previous studies show that microRNAs (miRNAs) can potentially be used as diagnostic markers for epilepsy, there are very few analyses of pediatric epilepsy patients. miRNA profiles using miRNA-seq was performed on plasma samples from 14 pediatri
In the methods section the authors considered prescribing practices whose "costs or harms generally outweigh their benefits for older adults (aged 65 years)" using four domain values: lack of effectiveness, potential for harm, excessive cost, use of a medication to treat adverse effects of another...
2.2.2. Study 2: Investigating the common and unique static functional network connectivity (sFNC) alterations in autism spectrum disorder (ASD) and SZ: multi-study comparison Since we obtained the brain functional network templates using data from large-sample population independent from the data bei...
IPF patients and healthy controls across cell types. Finally, molecular docking evaluates the druggability of identified genes, and phenome-wide MR (PheW-MR) using UK Biobank data assesses associations across 679 common diseases. Figure1provides a detailed overview of the workflow employed in our ...
having only maternal effects. We did not observe attenuation of the rare variant associations with birth weight when conditioning on the proximal GWAS sentinel SNPs (Supplementary Data6). Hence, these common variant associations provide independent support for these genes in the regulation of birth ...
A common theme has been that efforts to learn about frailty using healthcare data face challenges that are inherent to the limitations of the datasets being examined [24]. For example, cog- nitive and functional impairments, information-rich components of frailty [2], are often poorly coded or...
Previous research has deployed natural language processing (NLP) to extract pertinent data from unstructured text fields to identify patients with MDD [10], and extract information such as diagnosis, medication, symptoms, and adverse events [11]. The application of NLP models to EHR data could ...
Lung adenocarcinoma (LUAD) is the predominant histological subtype of lung cancer and the leading cause of cancer-related mortality. Identifying effective drug targets is crucial for advancing LUAD treatment strategies. This study employed proteome-wide