Yao Pei, Marcus Ho-Hin Shum, Yunshi Liao, Vivian W Leung, Yu-Nong Gong, David K Smith, Xiaole Yin, Yi Guan, Ruibang Luo, Tong Zhang, Tommy Tsan-Yuk Lam
ARGNet: using deep neural networks for robust identification and classification of antibiotic resistance genes from sequences
Microbiome
study addresses critical knowledge gap exploring intricate relationship low birth weight lbw heightened risk suboptimal academic achievement adolescence comprehensive retrospective cohort design registrybased cohort study meticulously linked health curriculumbased test data individuals born new south wales nsw australia 2003 2005 employed birth weight data carefully sourced nsw perinatal data collection pdc educational performance offspring thoroughly evaluated using national assessment program literacy numeracy naplan grade 9 approximately 14 years age rigorous adjustments potential confounders findings revealed compelling narrative lbw adolescents demonstrated elevated susceptibility meeting national minimum standards across domains encompassing spelling 159 95ci 148169 writing 151 95ci 141161 reading 138 95ci 129148 numeracy 152 95ci 140163 notably lbw boys exhibited pronounced inclination towards diminished academic performance compared female counterparts comprehensive retrospective cohort study based linked data unequivocally establishes lbw significantly associated increased vulnerability substandard educational achievement adolescence particularly robust effects observed females across outcomes aimed investigating whether lbw serves predictive factor later academic difficulties study underscores imperative adoption fortification preventative early intervention strategies curtail prevalence lbwassociated academic underachievement later adolescence