Causality Between 91 Circulating Inflammatory Proteins and Various Asthma Phenotypes: A Mendelian Randomization Study by Zhang S, Zhang X, Wei C, Zhang L, Li Z

“…The FDR correction was performed due to the possibility of a type 1 error.Results: Genetically predicted IVW results revealed a total of 30 data sets suggesting a potential causal relationship between circulating inflammatory proteins and asthma phenotypes. …”
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Data driven discovery and quantification of hyperspectral leaf reflectance phenotypes across a maize diversity panel by Michael C. Tross, Marcin W. Grzybowski, Talukder Z. Jubery, Ryleigh J. Grove, Aime V. Nishimwe, J. Vladimir Torres‐Rodriguez, Guangchao Sun, Baskar Ganapathysubramanian, Yufeng Ge, James C. Schnable

“…In at least one case, genome‐wide association study hits for variation in autoencoder‐derived variables were proximal to genes with known or plausible links to leaf phenotypes expected to alter hyperspectral reflectance. …”
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Acousto-optogenetics bandpass stabilizer: A programmable platform for mapping single-cell phenotypic life trajectories by Yuxin Wang, Yue Quan, Shizheng Zhou, Yinning Zhou

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Endothelial Microvascular Dysfunction and Its Relationship with Haptoglobin Levels in Patients with Different Phenotypes of Chronic Heart Failure by V. I. Podzolkov, N. A. Dragomiretskaya, I. G. Beliaev, Ju. S. Kucherova, A. V. Kazadaeva

“…To study the relationship between the level of haptoglobin and the main indicators of microcirculation (MC) in patients with different phenotypes of chronic heart failure (CHF).Materials and methods. …”
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Optimizing Cost-Effective gene expression phenotyping approaches in cattle using 3′ mRNA sequencing by Ruwaa I. Mohamed, Taylor B. Ault-Seay, Sonia J. Moisá, Jonathan E. Beever, Agustín G. Ríus, Troy N. Rowan

“…Ongoing work is evaluating the accuracy of imputation and the ability of much larger datasets to predict individual animal phenotypes.…”
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Immune-phenotyping and transcriptomic profiling of blood monocytes from patients with breast cancer under neoadjuvant chemotherapy by M. R. Patysheva, M. N. Stakheyeva, E. S. Grigoryeva, P. S. Iamshchikov, I. V. Larionova, А. A. Budnickya, N. A. Tarabanovskaya, N. V. Cherdyntseva, J. G. Kzhyshkowska

“…To characterize changes in phenotypic and transcriptomic profiles of monocytes of breast cancer patients before and after chemotherapeutic treatment.Materials and methods. …”
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Galectin-3: role in the formation of various hemodynamic phenotypes of heart failure and interaction with some neurohumoral factors by A. K. Kurbonov, A. G. Gadaev, N. M. Nurillaeva, M. M. Ernazarov, D. O. Nasretdenova

“…Gal-3 can be used as an early biomarker of myocardial fibrosis and cardiac remodeling, in predicting and evaluating risk factors, clinical course and outcome of the disease, as well as to assess the effectiveness of treatment in patients with these HF phenotypes.…”
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Intelligent multi-modeling reveals biological relationships and adaptive phenotypes for dairy cow adaptation to climate change by Robson Mateus Freitas Silveira, Angela Maria de Vasconcelos, Concepta McManus, Luiz Paulo Fávero, Iran José Oliveira da Silva

“…In this study, we develop a systematic methodology with multivariate models and machine learning algorithms to (i) model complex patterns of relationships or multi-phenotypic differences between the thermal environment and thermoregulatory, hormonal, biochemical, hematological and productive responses; and (ii) identify potential associations among biological relationships that may underlie shared and specific phenotypic patterns of adaptive responses. …”
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Genotype–phenotype analysis and functional study of three novel LRP6 variants in non-syndromic oligodontia by Yunyun Yuan, Ya Zhao, Lingqiang Meng, Shuyun Zheng, Hui Li, Jiabao Ren, Beibei Li, Chenyun Dou, Yan Hou, Wenjing Chen, Jing Zhang, Jing Zhang, Yulin Ding, Yulin Ding, Wenjing Shen

“…Identified LRP6 variants underwent computational pathogenicity prediction using integrated bioinformatics tools. Subcellular localization patterns were analyzed via immunofluorescence microscopy. …”
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Male-dependent resistance to Spiroplasma-induced cytoplasmic incompatibility by Marie Pollmann, Ronja Reinisch, Lea von Berg, Molly Avidan King, Marina Geiselmann, Lena-Maria Käppeler, Raz Leibson, Natascha Traub, Johannes L. M. Steidle, Yuval Gottlieb

“…Although even closely related hosts can have different CI phenotypes, little is known on the resistance mechanism in non-susceptible hosts. …”
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Extensive novel diversity and phenotypic associations in the dromedary camel microbiome are revealed through deep metagenomics and machine learning. by Fathi A Mubaraki

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A Computable Phenotype Algorithm for Postvaccination Myocarditis/Pericarditis Detection Using Real-World Data: Validation Study by Matthew Deady, Raymond Duncan, Matthew Sonesen, Renier Estiandan, Kelly Stimpert, Sylvia Cho, Jeffrey Beers, Brian Goodness, Lance Daniel Jones, Richard Forshee, Steven A Anderson, Hussein Ezzeldin

“…Using the fast healthcare interoperability resources standard for secure data transmission, we implemented a computable phenotype algorithm on a new health care system. The study focused on the algorithm's positive predictive value, validated through clinical records, assessing both the time required for implementation and the accuracy of AE detection. …”
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Predictors of biomarker changes in the pathogenesis of cardiometabolic phenotypes in combined arterial hypertension, type 2 diabetes mellitus, and obesity by I.P. Dunaieva

“…Catestatin, cardiotrophin-1, cystatin C, NT-proBNP, β2-microglobulin, and leptin demonstrated the highest predictive value. The results indicate they may serve as predictors of myocardial remodeling, diastolic dysfunction, renal impairment, hypertrophy, and dyslipidemia. …”
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A cotton organ segmentation method with phenotypic measurements from a point cloud using a transformer by Fu-Yong Liu, Hui Geng, Lin-Yuan Shang, Chun-Jing Si, Shi-Quan Shen

“…The correlation coefficients between the measured values of four phenotypic parameters (plant height, leaf area, and boll volume) ranged from 0.95 to 0.97, demonstrating the accurate predictive capability of the model for these key traits. …”
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Vascular synovial phenotype indicates poor response to JAK inhibitors in rheumatoid arthritis patients: a pilot study by Mengxia Liu, Pengcheng Liu, JianBin Li, Yiping Huang, Rui Wu

“…Conclusions The presence of vascular phenotype with low inflammation within the synovium of RA patients is an indicator of poor response to JAK inhibitor therapy, highlighting its potential as a predictive marker for treatment outcomes.…”
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Phenotypic variation of dairy cows’ hematic metabolites and feasibility of non-invasive monitoring of the metabolic status in the transition period by Silvia Magro, Angela Costa, Damiano Cavallini, Elena Chiarin, Massimo De Marchi

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Comparing Assisted Reproductive Outcomes in Women with Different Polycystic Ovary Syndrome Phenotypes Undergoing Frozen Embryo Transfer by Anubhuti Patel, Anviti Saraf, Vyshnavi A. Rao, Kamini A. Rao

“…Background: Patients with polycystic ovarian syndrome (PCOS) have unique characteristics depending on its phenotype. Therefore, prediction of controlled ovarian stimulation (COS) response and assisted reproductive technique (ART) outcome in these becomes challenging. …”
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Multi-omics-based construction of a palmitoylation-driven prognostic model reveals tumor immune phenotypes in osteosarcoma by Jingyu Chen, Feihu Chen, Haiping Zhang, Yuanlong Hu, Xingyu Zhou, Xijia Weng, Guofeng Bao, Xiaomin Ding

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Predictive modeling of glioblastoma recurrence for therapeutic target identification by Hrvoje Miletic, Thomas Daubon

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Development of predictive models for differential diagnosis of hypertrophic cardiomyopathy by V. V. Zaitsev, K. S. Safronov, K. S. Konasov, T. R. Bavshin, K. A. Manokhin, L. A. Obraztsova, O. M. Moiseeva

“…Aim. To develop predictive models for differential diagnostics of hypertrophic phenotype in patients with concomitant diseases, as well as to validate through independent assessment.Material and methods. …”
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