Donor Cell Composition and Reactivity Predict Risk of Acute Graft-versus-Host Disease after Allogeneic Hematopoietic Stem Cell Transplantation by Darius Sairafi, Arwen Stikvoort, Jens Gertow, Jonas Mattsson, Michael Uhlin

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A migrasome-related lncRNA signature predicts prognosis and immune response in hepatocellular carcinoma: Implications for biomarker discovery and therapeutic targeting by Haotian Qin, Haotian Qin, Tiantian Qi, Tiantian Qi, Min Liu, Weibei Sheng, Weibei Sheng, Junyu Qian, Junyu Qian, Jian Weng, Jian Weng, Qi Yang, Jun Yang

“…We knocked down MIR4435-2HG in HCC cells to assess its impact on proliferation, migration, EMT phenotype, and PD-L1 expression.ResultsThe MRlncRNA signature effectively stratified HCC patients by prognosis and immunotherapy responsiveness. …”
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Predicting Outcomes using DIGital TechnologY in patients with Interstitial Lung Disease (PRODIGY-ILD): Protocol for a Prospective Cohort Study by Peter Doran, Sinead Holden, Michael Keane, Emer Gunne, Cormac McCarthy, Alessandro N Franciosi

“…Introduction Interstitial lung disease (ILD) patients may develop a progressive phenotype usually characterised by progressive pulmonary fibrosis. …”
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Lipids and C-reactive protein predict anhedonia and reward circuit functional connectivity responses to anti-cytokine and dopaminergic therapies in patients with depression by Aditya Singh, Mandakh Bekhbat, David R. Goldsmith, Ngoc-Anh Le, Evanthia C. Wommack, Zhihao Li, Ebrahim Haroon, Jennifer C. Felger

“…Increased inflammation and associated metabolic disturbances have been shown to affect neurotransmitters and brain circuits, contributing to an immunometabolic phenotype of anhedonic depression. To extend our previous findings on relationships between plasma lipids and antidepressant response to anti-cytokine therapy, we explored in secondary analyses whether lipid-related biomarkers similarly predicted change in anhedonia or functional connectivity (FC) in dopamine-rich corticostriatal reward circuitry in medically-stable, depressed patients with a range of inflammation levels (indexed by plasma C-reactive protein [CRP]) who were administered inflammation-targeted therapies. …”
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Development of a prognostic prediction model based on damage-associated molecular pattern for colorectal cancer applying bulk RNA-seq analysis by Yang Wu, Yangjing Xu, Yongtong Chen, Wei Xu, Minwu Yao, Wencong Ding

“…Abstract This study aims to develop a risk model for the prognostic prediction for colorectal cancer (CRC) patients according to the phenotype related to damage-associated molecular patterns (DAMPs). …”
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Mitochondrial Pathway Signature (MitoPS) predicts immunotherapy response and reveals NDUFB10 as a key immune regulator in lung adenocarcinoma by Peng Luo, Zhenfa Zhang, Lianmin Zhang, Pengpeng Zhang, Mengzhe Zhang, Jianlan Liu, Zhaokai Zhou

“…Mechanistic studies identified mitochondria-related gene NDUFB10 as a core gene of MitoPS (r=0.38, p<0.05), where its high expression was significantly associated with immune desert phenotype and worse prognosis. Functional experiments confirmed that NDUFB10 knockdown significantly enhanced ICIs therapy and increased GZMB+CD8+T cell infiltration, indicating NDUFB10’s crucial role in regulating tumor immune microenvironment and immunotherapy response.Conclusion The MitoPS scoring system reliably predicts prognosis and immunotherapy response in patients with LUAD, providing a novel reference for clinical decision-making. …”
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Characterisation of EfbA from the Endodontic Pathogen Enterococcus faecalis and Prediction of Immunodominant EfbA Epitope Peptides: An In-vitro and In-silico Study by Dev Arora, AS Smiline Girija, J Vijayashree Priyadharsini

“…The prediction of T-cell epitopes was carried out with the help of the EpiDOCK server, and B-cell predictions were made using the Kolaskar and Tongaonkar tool. …”
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A Multi‐Omics, Machine Learning‐Aware, Genome‐Wide Metabolic Model of Bacillus Subtilis Refines the Gene Expression and Cell Growth Prediction by Xinyu Bi, Yang Cheng, Xueqin Lv, Yanfeng Liu, Jianghua Li, Guocheng Du, Jian Chen, Long Liu

“…This study paves the way for the construction of comprehensive biological databases and high‐performance multi‐omics metabolic models to achieve accurate predictive analysis in exploring complex mechanisms of cell genotypes and phenotypes.…”
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Nature or nurture: genetic and environmental predictors of adiposity gain in adultsResearch in context by Laia Peruchet-Noray, Niki Dimou, Reynalda Cordova, Emma Fontvieille, Anna Jansana, Quan Gan, Marie Breeur, Hansjörg Baurecht, Patricia Bohmann, Julian Konzok, Michael J. Stein, Christina C. Dahm, Nuno R. Zilhão, Lene Mellemkjær, Anne Tjønneland, Rudolf Kaaks, Verena Katzke, Elif Inan-Eroglu, Matthias B. Schulze, Giovanna Masala, Sabina Sieri, Vittorio Simeon, Giuseppe Matullo, Esther Molina-Montes, Pilar Amiano, María-Dolores Chirlaque, Alba Gasque, Joshua Atkins, Karl Smith-Byrne, Pietro Ferrari, Vivian Viallon, Antonio Agudo, Marc J. Gunter, Catalina Bonet, Heinz Freisling, Robert Carreras-Torres

“…Summary: Background: Previous prediction models for adiposity gain have not yet achieved sufficient predictive ability for clinical relevance. …”
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Predicting Live Weight for Female Rabbits of Meat Crosses From Body Measurements Using LightGBM, XGBoost and Support Vector Machine Algorithms by Hasan Önder, Cem Tirink, Taras Yakubets, Andriy Getya, Mykhalio Matvieiev, Ruslan Kononenko, Uğur Şen, Çağri Özgür Özkan, Tolga Tolun, Fahrettin Kaya

“…ABSTRACT Prediction of body weight (BW) using biometric measurements is an important tool especially for animal welfare and automatic phenotyping tools that needs mathematical models. …”
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Morphometric and thermo-physiological diversity in two chicken genotypes kept by rural farmers under tropical conditions by Elijah Akumbugu Faith, Danlami Moses Ogah, Abdulmojeed Yakubu, Oladeji Bamidele

“… This study investigated phenotypic diversity in indigenous normal feathered and Noiler chickens kept by rural farmers in Nasarawa State, Nigeria. …”
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Integrated commercial and low-fishmeal fermented feed boosts survival and modulates intestinal microbiota in pacific white shrimp (Litopenaeus vannamei) by Yanbo Cheng, Lanfen Fan, Yifei Liu, Kuiying Su, Guohuan Xu

“…The gut microbiota of shrimp on two feeding diets showed distinct patterns in the predicted pathways related to immune and infectious disease, with diets also affecting their phenotypic traits. …”
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Physiological and behavioural resistance of malaria vectors in rural West-Africa: a data mining study to address their fine-scale spatiotemporal heterogeneity, drivers, and predict... by Taconet, Paul, Soma, Dieudonné Diloma, Zogo, Barnabas, Mouline, Karine, Simard, Frédéric, Koffi, Alphonsine Amanan, Dabiré, Roch Kounbobr, Pennetier, Cédric, Moiroux, Nicolas

“…The objectives were i) to assess the small-scale spatial and temporal heterogeneity of physiological resistance to insecticide and behavioural resistance phenotypes, ii) to better understand their drivers, and iii) to assess their spatio-temporal predictability, at scales that are consistent with operational action. …”
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Comparing 2D and 3D Feature Extraction Methods for Lung Adenocarcinoma Prediction Using CT Scans: A Cross-Cohort Study by Margarida Gouveia, Tânia Mendes, Eduardo M. Rodrigues, Hélder P. Oliveira, Tania Pereira

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Genome-Wide Association Study and Genomic Prediction of Soft Wheat End-Use Quality Traits Under Post-Anthesis Heat-Stressed Conditions by Dipendra Shahi, Jia Guo, Sumit Pradhan, Muhsin Avci, Guihua Bai, Jahangir Khan, Byung-Kee Baik, Mohamed Mergoum, Md Ali Babar

“…Genomic selection models showed prediction accuracy values up to 0.60, with within-environment prediction outperforming across-environment prediction. …”
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The differential diagnosis of adrenal incidentalomas with non-benign appearence on unenhanced computed tomography: a retrospective study by Irena A. Ilovayskaya, Anna Y. Lugovskaya, Alexey A. Glazkov, Timur A. Britvin, Larisa E. Gurevich, Valentina E. Shikina

“…Tumor size and native density in unenhanced CT images are widely used to predict tumor malignancy, however, their diagnostic accuracy and the added value of clinical and anamnestic data remain uncertain. …”
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Longitudinal frailty assessment in the prediction of survival among patients with advanced chronic kidney disease: a prospective observational single-centre cohort study by Kate Pumpa, Alice Richardson, Suzanne Rainsford, Nicholas Glasgow, Angela Douglas, Alice Kennard, Kelly Hamilton, Girish Scricant Talaulikar

“…Frailty outperformed age, comorbidity and laboratory parameters in predicting mortality risk with HR 2.83 (95% CI 1.44 to 5.56, p<0.001). …”
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Systems approaches to predict the functions of glycoside hydrolases during the life cycle of Aspergillus niger using developmental mutants ∆brlA and ∆flbA. by Jolanda M van Munster, Benjamin M Nitsche, Michiel Akeroyd, Lubbert Dijkhuizen, Marc J E C van der Maarel, Arthur F J Ram

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Toll-like receptor 9 (TLR9) expression correlates with cell of origin and predicts clinical outcome in diffuse large B-cell lymphoma by Sulaf Abd Own, Ioanna Xagoraris, Konstantina Stathopoulou, Björn E. Wahlin, Weicheng Ren, Mehran Ghaderi, Qiang Pan-Hammarström, Birgitta Sander, Karin E. Smedby, Georgios Rassidakis

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SIRE 2.0: a novel method for estimating polygenic host effects underlying infectious disease transmission, and analytical expressions for prediction accuracies by Christopher M. Pooley, Glenn Marion, Jamie Prentice, Ricardo Pong-Wong, Stephen C. Bishop, Andrea Doeschl-Wilson

“…Analytical expressions for prediction accuracies (PAs) for these traits are derived for simplified scenarios, revealing their dependence on genetic and phenotypic variances, and the distribution of related individuals within and between contact groups. …”
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