Results 21 to 30 of about 1,140,993 (214)

Predicting the Digestive Tract Development and Growth Performance of Goat Kids Using Sigmoidal Models

Animals, 2021
The transition from monogastric to rumination stage is crucial in ruminants’ growth to avoid stressors—weaning and neonatal mortalities. Poor growth of the digestive tract could adversely affect the performance of the animal.
Mahmoud Abdelsattar, Yimin Zhuang, Kai Cui, Yanliang Bi, Naifeng Zhang   +4 more
doaj   +1 more source

Is Early Monitoring Better? Impact of Early Vancomycin Exposure on Treatment Outcomes and Nephrotoxicity in Patients with Methicillin-Resistant Staphylococcus aureus Infections

Antibiotics, 2020
Optimal early vancomycin target exposure remains controversial. To clarify the therapeutic exposure range, we investigated the association between vancomycin exposure and treatment outcomes or nephrotoxicity in patients with methicillin-resistant ...
Thanawat Chattaweelarp, Dhitiwat Changpradub, Baralee Punyawudho, Sudaluck Thunyaharn, Wichai Santimaleeworagun   +4 more
doaj   +1 more source

Ability to Predict Melanoma Within 5 Years Using Registry Data and a Convolutional Neural Network: A Proof of Concept Study

Acta Dermato-Venereologica, 2022
Research relating to machine learning algorithms, including convolutional neural networks, has increased during the past 5 years. The aim of this pilot study was to investigate how accurately a convolutional neural network, trained on Swedish registry ...
Martin Gillstedt, Sam Polesie
doaj   +1 more source

Assessing the precision of machine learning for diagnosing pulmonary arterial hypertension: a systematic review and meta-analysis of diagnostic accuracy studies

Frontiers in Cardiovascular Medicine
IntroductionPulmonary arterial hypertension (PAH) is a severe cardiovascular condition characterized by pulmonary vascular remodeling, increased resistance to blood flow, and eventual right heart failure.
Akbar Fadilah, Valerinna Yogibuana Swastika Putri, Imke Maria Del Rosario Puling, Sebastian Emmanuel Willyanto   +3 more
doaj   +1 more source

LRMCMDA: Predicting miRNA-Disease Association by Integrating Low-Rank Matrix Completion With miRNA and Disease Similarity Information

IEEE Access, 2020
Identifying disease-related microRNAs (miRNAs) is crucial to understanding the etiology and pathogenesis of many diseases. However, existing computational methods are facing a few dilemmas such as lacking “negative samples” (i.e.
Junlin Xu, Wen Zhu, Lijun Cai, Bo Liao, Yajie Meng, Ju Xiang, Dawei Yuan, Geng Tian, Jialiang Yang   +8 more
doaj   +1 more source

Development and validation of a prediction model on spontaneous preterm birth in twin pregnancy: a retrospective cohort study

Reproductive Health, 2023
Background This study was conducted to develop and validate an individualized prediction model for spontaneous preterm birth (sPTB) in twin pregnancies.
Xiaofeng Yang, Qimei Zhong, Li Li, Ya Chen, Chunyan Tang, Ting Liu, Shujuan Luo, Jing Xiong, Lan Wang   +8 more
doaj   +1 more source

Amikacin: Area Under Curve for Once Daily Dose and Its Correlation with Plasma Concentration at Six Hours Post Infusion

Siriraj Medical Journal, 2003
Aminoglycosides are commonly used for gram-negative septicemia. Formerly, peak and trough plasma levels were the monitoring parameters for conventional dose which was every eight hours.
Teera Kolladaruengkri, Kamol Udol, Kantima Sangsiriwut, Dujpratana Pisalsarakij, Surapol Suwanagool   +4 more
doaj  

Ratio of lymphocyte to monocyte area under the curve as a novel predictive factor for severe infection in multiple sclerosis

Frontiers in Immunology, 2023
BackgroundIndividuals with multiple sclerosis (MS) are vulnerable to all types of infection, because MS itself involves immunodeficiency, in addition to involving treatment with immunosuppressants.
Junichiro Takahashi, Tomoko Okamoto, Youwei Lin, Reiko Saika, Atsuko Katsumoto, Wakiro Sato, Takashi Yamamura, Yuji Takahashi   +7 more
doaj   +1 more source

Accuracy Of Serum Ferritin, C-Reactive Protein, Lactate Dehydrogenase And D. Dimers In Assessing Severity And Outcome Of COVID-19 Infection

Journal of Rawalpindi Medical College, 2023
: Introduction: Covid-19 emerged as pandemic. In the beginning, due to the rapid spread of virus it was difficult to understand fully its pathogenesis but various inflammatory markers were found to be raised.
Aziz-Un-Nisa, Dur Muhammad, Sultan Zaib, Ibrahim Khan, Imran Zaib, Shehrish Saleem   +5 more
doaj   +1 more source

The Clinical Influence after Implementation of Convolutional Neural Network-Based Software for Diabetic Retinopathy Detection in the Primary Care Setting

Life, 2021
Deep learning-based software is developed to assist physicians in terms of diagnosis; however, its clinical application is still under investigation.
Yu-Hsuan Li, Wayne Huey-Herng Sheu, Chien-Chih Chou, Chun-Hsien Lin, Yuan-Shao Cheng, Chun-Yuan Wang, Chieh Liang Wu, I.-Te Lee   +7 more
doaj   +1 more source