... in any medium, provided the original work is properly cited. We used Google and Baidu search data with machine learning to predict flu trends in Macao. ‘Cold’ was the strongest early indicator, with XGBoost showing the best performance. Findings support enhanced flu surveillance amid rising risks from...

... of cross-species extrapolation for anthropogenically introduced contaminants ( Brooks et al., 2024 ). In silico methods such as the US Environmental Protection Agency’s Sequence Alignment to Predict Cross Species Susceptibility (SeqAPASS) tool are being more frequently used to examine the evolutionary...

... space of genetic perturbations and cell types. Consequently, a bunch of computational models have been proposed to predict unseen combinations based on existing data. Among them, generative models, e.g. variational autoencoder and diffusion models, have the superiority in capturing the perturbed data...

.... None declared. References 1. Abu-Arja MH , Brown AL , Su JM , et al . The cochlear dose and the age at radiotherapy predict severe hearing loss after passive scattering proton therapy and cisplatin in children with medulloblastoma . Neuro-Oncology . 2024 : noae114 . doi: 10.1093...

... of acute kidney injury (AKI) is the lack of high-performance predictors in critically ill patients. Therefore, we innovatively constructed U-AKIpred^TM for predicting AKI in critically ill patients within 12 h of panel measurement. Methods The prospective cohort study included 680 patients...

... Zhejiang Province Traditional Chinese Medicine Science and Technology Plan Project 2024ZL610 First Affiliated Hospital of Wenzhou Medical University Research Project DDYL-KY-20240126 Implications for Practice PREDICT is among the most popular prediction tools for breast cancer...

... obtained via CHDI from the previously published studies PREDICT-HD, TRACK-HD and IMAGE-HD. ^10–12 Each study was a longitudinal observational study including structural imaging. For PREDICT-HD, all HD subjects were premanifest at entry. TRACK-HD and IMAGE-HD had a mixture of premanifest...

... network to analyze NAOJ time series observations of sunspots from 1929 January to 2022 April, then predict the maximum value and its occurrence time in the coming SC 25 and 26. The data and methods are presented in section  2 . The experiment processes are presented in section  3 , while the analysis...

... the predictive accuracy of the nomogram at different time points. The nomogram was internally validated by the bootstrap method with 1,000 resamples and the validation set. Ulcerative colitis (UC), a subtype of inflammatory bowel disease (IBD), is a chronic relapsing and progressive disorder with unclear...

...Fahmi Hassan Fadhel vaccine hesitancy vaccine acceptance predict factors conspiracy theory COVID-19 Coronavirus vaccines were quickly produced and approved on an emergency basis to contain and control the epidemic; they appear to prevent the spread of COVID-19 ( Hotez et al., 2021...

... predict those who will develop PsA [ 19 ]. Unlike synovitis with joint swelling, enthesitis is much more difficult to diagnose objectively. Focal entheseal tenderness without swelling, which is the norm for enthesitis, is virtually impossible to differentiate from the mechanical enthesopathy...

... for antibodies to whole Toxoplasma antigens and to peptide antigens of the Toxoplasma cyst matrix antigen 1 (MAG1), for predicting incident toxoplasmic encephalitis (TE) in people living with human immunodeficiency virus (HIV; PLWH). Methods We performed a nested case control study...

... the study team collects the apparatus and urine samples, and over the course of a week dietary questionnaires are completed. Table 1. Overview of data and samples collected at baseline and each follow-up for the African-PREDICT study, Potchefstroom, South Africa, 2013–2017. Questionnaires...

...) infections can have high morbidity and mortality rates owing to their invasiveness and virulence. However, there are no effective tools or biomarkers to discriminate between hvKP and nonhypervirulent K. pneumoniae (nhvKP) strains. We aimed to use a random forest algorithm to predict hvKP based...

... that individuals with diabetes had $2558 direct incremental expenditures. Bilandzic et al. predicted that the developing diabetes of predicted 10-year for the Canadian population as a whole is 2 156 000 new cases between 2011/2012 and 2021/2022 with the estimated total health care cost of these new cases...

... binary logistic regression models to determine which variables independently predicted complicated outcomes ( Supplementary Methods ). We operationalized and simplified the resulting statistical models by deriving novel composite prediction scores for acute and chronic complications. We defined the Acute...

...Akira Kimura; Masaru Koyama; Masaya Tanabe acceleration performance test predict fall history elderly Abstract Backgrounds The Berg Balance score and others are used internationally to assess fall risk, but there are few reports of performance tests based on objective biomechanical data...

... was increased in responders than in nonresponders at baseline, p = .034; to the contrary, serum survivin level was decreased in responders, p = .009. Receiver operating characteristic (ROC) curve illuminated the combination of IL-6 and survivin expressions could predict clinical response...

.... Published by Oxford University Press on behalf of the European Society of Human Reproduction and Embryology. All rights reserved. For Permissions, please e-mail: [email protected] 2017 Abstract STUDY QUESTION Can live birth be accurately predicted following surgical resection of moderate...

... a predictive model. Derived from DTI were fractional anisotropy (FA), radial diffusivity (RAD), axial diffusivity (AX), and trace (TR), and derived from DSC-MRI were relative cerebral blood volume (rCBV), peak height (PH), and percentage signal recovery (PSR). Corresponding Author: Christos Davatzikos, PhD...