Results 221 to 230 of about 1,649,620 (281)

Predicting antifouling paint particle contamination based on 16S rRNA gene sequencing data using random forest-based machine learning. [PDF]

Microbiol Spectr
Sperlea T, Labrenz M, Kreikemeyer B, Schenk A, Tagg AS.   +4 more
europepmc   +1 more source

Clinical Model‐Informed Precision Dosing Consult Service for Accelerating Personalized Medication in Pediatric Patients

Clinical Pharmacology &Therapeutics, EarlyView.
Traditional dosing strategies often rely on a “one‐size‐fits‐all” paradigm, assuming an “average” patient with typical demographic and pharmacological characteristics. In reality, this often overlooks existing between‐patient variability and can lead to suboptimal drug exposure or toxicity. This issue is especially pronounced in pediatric patients, who
Zachary L. Taylor, Takanobu Nadai, Kei Irie, Wen Rui Tan, Sanjana Parikh, Anhar Hosawi, Matthijs W. van Hoogdalem, Ronaldo Morales Junior, Sonya Tang Girdwood, Abbie D. Leino, Kana Mizuno, Alexander A. Vinks, Tomoyuki Mizuno   +12 more
wiley   +1 more source

Evaluation of a chromogenic medium, CHROMagar StrepA, for the detection of <i>Streptococcus pyogenes</i> in throat swab samples. [PDF]

Microbiol Spectr
Ponthot R, Mahrous K, Grimmelprez A, Schatt P.   +3 more
europepmc   +1 more source

Family's socioeconomic and demographic factors on elements of children's dental and oral health: A scoping review

Clinical and Experimental Dental Research, EarlyView.
Abstract Background Family plays a significant role in children's dental and oral health (DOH) elements, such as children's DOH knowledge and practice, the development of children's dental fear and anxiety (DFA), children's dental visits, and children's DOH status.
Wisnu Fadila, Mugia B. Rahardja, Puguh Prasetyoputra, Anne A. Suwargiani, Yanu E. Prasetyo, Eriska Riyanti   +5 more
wiley   +1 more source

Applied Microbiology and Biotechnology: Challenges in Food Microbiology and Food Safety Research. [PDF]

Foods
Ranitović A.
europepmc   +1 more source

Editorial: One health approach to infection prevention and antimicrobial resistance. [PDF]

Front Cell Infect Microbiol
Abdel-Massih RM, Aziz RK, Daoud Z.
europepmc   +1 more source

Enhancing clinical utility of AI-based antimicrobial resistance models: a perspective. [PDF]

mBio
Bonomo RA, Hujer AM.
europepmc   +1 more source

Uncloaking the black-box: the need for explainable artificial intelligence in clinical microbiology and infectious diseases applications. [PDF]

Front Public Health
Warrier SP, Narasimhan V, Meijer E, Gütlin Y, Nolte O, Veeraraghavan B, Egli A.   +6 more
europepmc   +1 more source

Predictors for identifying autoimmune encephalitis in pediatric patients. [PDF]

Front Cell Infect Microbiol
Sun Y, Yang S, Wang M, Xu H, Wang S.
europepmc   +1 more source