Random splicing assisted deep learning for breast cancer cell line classification via Raman spectroscopy by Yiheng Liu, Junfeng Liu, Jiayi Wan, Hongke Hao, Guangxing Liu, Xia Huang

“…These findings establish RS-CNN as a robust analytical model for clinical Raman diagnostics, particularly valuable in applications requiring high accuracy with limited samples.…”
Get full text

Early prediction of preeclampsia from clinical, multi-omics and laboratory data using random forest model by Qiang Zhao, Jia Li, Zhuo Diao, Xiao Zhang, Suihua Feng, Guixue Hou, Wenqiu Xu, Zhiguang Zhao, Zhixu Qiu, Wenzhi Yang, Si Zhou, Peirun Tian, Qun Zhang, Weiping Chen, Huahua Li, Gefei Xiao, Jie Qin, Liqing Hu, Zhongzhe Li, Liang Lin, Shunyao Wang, Ruyun Gao, Wuyan Huang, Xiaohong Ruan, Sufen Zhang, Jianguo Zhang, Lijian Zhao, Rui Zhang

“…Objectives In this study, we aimed to develop prediction models for early-onset preeclampsia (EPE) and late-onset preeclampsia (LPE) respectively using clinical data, metabolome and proteome analyses on plasma samples and laboratory data. Methods We retrospectively recruited 56 EPE, 50 LPE patients and 92 normotensive controls from three tertiary hospitals and used clinical and laboratory data in early pregnancy. …”
Get full text

High-risk human papillomavirus cervical infection prevalence: a nationwide retrospective study comparing opportunistic and organised screening, France, 2020 to 2023 by Samuel Alizon

Get full text

Mendelian randomization study showed no causality between metformin treatment and polycystic ovary syndrome. by Liting Lin, Huan Shen, Yanbin Wang

“…To investigate whether the association reflect causality, a two-sample Mendelian randomization (MR) method was conducted.…”
Get full text

On the effect of flexible adjustment of the p value significance threshold on the reproducibility of randomized clinical trials. by Farrokh Habibzadeh

“…Using a Monte Carlo simulation, the false-positive rate (when the null hypothesis was true) and false-negative rate (when the alternative hypothesis was true) were calculated in a hypothetical randomized clinical trial.<h4>Results</h4>Increasing the study sample size was associated with a reduction in the false-negative rate, however, the false-positive rate occurred at a fixed value regardless of the sample size when fixed significance thresholds were used; the rate decreased, however, when the flexible threshold was employed. …”
Get full text

Personalizing mHealth Interventions for Occupational Stress: Protocol for a Randomized Pilot Study by Beatrix Kunas, Oliver Jung, Christoph Schranz, Mathias Schmoigl-Tonis, Manuela Ploessnig, Anton-Rupert Laireiter

“…In the second phase of the study, the sample was divided into 2 groups, varying the degree of personalization of the app. …”
Get full text

Effects of Aquatic Exercise in Older People with Osteoarthritis: Systematic Review of Randomized Controlled Trials by Carlos Ayán-Pérez, Daniel González-Devesa, Beatriz Montero-García, Silvia Varela

“…<b>Results:</b> A total of 12 studies were included, with sample sizes ranging from 35 to 312 participants. …”
Get full text

Causal relationship between inflammatory bowel disease and sex: a Mendelian randomization study by Kaiwen Wang, Yu Lou, Shunjie Tian, Zhihui Tao, Zhihui Tao

“…ObjectiveThe aim of this study was to investigate the bidirectional causal relationship between sex hormones and IBD through a two-sample bidirectional Mendelian randomization (MR) study.MethodsBased on Genome-Wide Association Study (GWAS) pooled data on SHBG, total testosterone, bioavailable testosterone, estradiol, and IBD in a European population, we performed two-sample bidirectional MR analyses using single nucleotide polymorphisms (SNPs) as instrumental variables. …”
Get full text

Causality of genetically predicted solid cancers on risk of sepsis: insights from Mendelian randomization by Linjie Qiu, Shiyu Chen, Jia Zhong, Yan Zhang, Kai Zhang

“…The primary objective of this study is to explore this connection further, investigating the causal effect of solid cancer on sepsis by applying Mendelian randomization (MR). Methods Using genome-wide association study (GWAS) data from the Medical Research Council-Integrative Epidemiology Unit database, we conducted a bidirectional two-sample Mendelian randomization (MR) analysis to test the causal association between solid cancers (10 GWAS, 1,345,730 samples) and sepsis (2 GWAS, 1,288,566 samples) in European ancestry. …”
Get full text

Identification of Potential Drug Targets for Immunoglobulin A Nephropathy: A Mendelian Randomization Study by Limei Xiong, Hui Zhang, Yannan Guo, Yuhong Tao

“…<b>Methods</b>: We utilized summarized data from a recent genome-wide association study on IgAN, cis-expression quantitative trait loci data for druggable genes obtained from the eQTLGen Consortium, and DNA methylation quantitative trait loci data derived from the GoDMC database. Two-sample Mendelian randomization (MR) analysis, Bayesian colocalization, and mediation analysis through a two-step MR approach were performed to investigate their causal relationships. …”
Get full text

Effect of Educational Intervention on Fear of Falling in the Elderly People: A Randomized Cluster Trial by Nasim Alipour, Maryam Dastoorpour, Marzieh Araban

“…The samples were selected by multistage random sampling method and randomly assigned into intervention and control groups. …”
Get full text

Protective effect of antidiabetic drugs against male infertility: evidence from Mendelian randomization by Yuqi Li, Tao Zhou, Zhiyu Liu, Xinyao Zhu, Qilong Wu, Chunyang Meng, Qingfu Deng

“…Method We designed a comprehensive analytical workflow involving two-sample MR and summary-based MR (SMR) to assess the causal relationship between antidiabetic drug targets and MIF. …”
Get full text

Causal Relationships between Homocysteine and the Polycystic Ovary Syndrome: A Mendelian Randomization Analysis by Xianping Lin, Yaojuan Jin, Shihao Hong

“…We aimed to find the causal association of homocysteine (Hcy) with PCOS. Methods. A two-sample Mendelian randomization (MR) analysis was performed. …”
Get full text

Machine learning assisted adjustment boosts efficiency of exact inference in randomized controlled trials by Han Yu, Alan Hutson, Xiaoyi Ma

“…Abstract In this work, we proposed a novel inferential procedure assisted by machine learning based adjustment for randomized control trials. The method was developed under the Rosenbaum’s framework of exact tests in randomized experiments with covariate adjustments, replacing the traditional linear model with nonparametric models that capture the complex relationships between covariates and outcomes. …”
Get full text

Primary Aldosteronism and Risk of Cardiovascular Outcomes: Genome‐Wide Association and Mendelian Randomization Study by Kosuke Inoue, Tatsuhiko Naito, Ryosuke Fuji, Kyuto Sonehara, Kenichi Yamamoto, Ryuta Baba, Takaya Kodama, Yu Otagaki, Akira Okada, Kiyotaka Itcho, Kazuhiro Kobuke, Haruya Ohno, Takayuki Morisaki, Noboru Hattori, Atsushi Goto, Tetsuo Nishikawa, Kenji Oki, Yukinori Okada

“…The results were consistent among the European population. Conclusions Our 2‐sample Mendelian randomization study revealed that PA had increased risks of CAD, CHF, and stroke. …”
Get full text

Causal association of modifiable factors with cardiometabolic multimorbidity: an exposome-wide Mendelian randomization investigation by Dun Li, Jing Lin, Hongxi Yang, Lihui Zhou, Yujian Li, Zhe Xu, Li Sun, Xinyu Zhang, Weili Xu, Yaogang Wang

“…Methods In this study, a three-stage design Mendelian randomization (MR) investigation was conducted, using two-sample MR with potential sample overlap correction and multiple testing, multivariable MR analysis, and multi-response MR, with modifiable factors covering domains of socioeconomic factors, behavioral factors, biochemical factors, and physical measures as exposures, and CMM and CMDs as outcomes. …”
Get full text

Little evidence for an effect of smoking on multiple sclerosis risk: A Mendelian Randomization study. by Ruth E Mitchell, Kirsty Bates, Robyn E Wootton, Adil Harroud, J Brent Richards, George Davey Smith, Marcus R Munafò

“…Smoking has been associated with MS in observational studies and is often thought of as an environmental risk factor. We used two-sample Mendelian randomization (MR) to examine whether this association is causal using genetic variants identified in genome-wide association studies (GWASs) as associated with smoking. …”
Get full text

Woolf et al’s “GWAS by subtraction” is not useful for cross-generational Mendelian randomization studies by David M Evans, George Davey Smith, Gunn-Helen Moen

“…Abstract Mendelian randomization (MR) is an epidemiological method that can be used to strengthen causal inference regarding the relationship between a modifiable environmental exposure and a medically relevant trait and to estimate the magnitude of this relationship [1]. …”
Get full text

Improving a novel quantitative randomized response method using auxiliary variable information by Hamed Salemian, Eisa Mahmoudi, Osama Abdulaziz Alamri, Javid Shabbir

“…In the majority of sample surveys, the variable of interest might have sensitive characteristics. …”
Get full text

The effect of evaluator presence in simulated scenarios on basic life support: a randomized study by Ana Carolina Carraro Tony, Marcos Paulo Schlinz e Silva, André Luiz Silva Alvim, Luciane Ribeiro, Roberta Teixeira Prado, Ricardo Bezerra Cavalcante, Angélica da Conceição Oliveira Coelho, Fábio da Costa Carbogim

“…Seventy-three fourth-year students were included, with five student losses during the study. The initial sample consisted of 68 students, randomized into a control group (n=33) and an experimental group (n=35). …”
Get full text