Peripheral Immune Profiles in Individuals at Genetic Risk of Amyotrophic Lateral Sclerosis and Alzheimer’s Disease by Laura Deecke, Olena Ohlei, David Goldeck, Jan Homann, Sarah Toepfer, Ilja Demuth, Lars Bertram, Graham Pawelec, Christina M. Lill

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Pancreatic quantitative sensory testing to predict treatment response of endoscopic therapy or surgery for painful chronic pancreatitis with pancreatic duct obstruction: study prot... by Adam Slivka, Rohit Das, Asbjørn Mohr Drewes, Søren Schou Olesen, Mouen A Khashab, Vikesh K Singh, Dhiraj Yadav, Mahya Faghih, Anna Evans Phillips, Elham Afghani, Venkata Sandeep Akshintala, Panayiotis Y Benos, Jeffrey Easler, Charles Gabbert, Vivek Halappa, Jami L Saloman, Biatta Sholosh, Tianxiu Wang

“…We will test the predictive capability of the pretreatment P-QST phenotype to predict the likelihood of pain improvement following invasive treatment for painful CP.Methods and analysis This observational clinical trial will enrol 150 patients from the University of Pittsburgh, Johns Hopkins and Indiana University. …”
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Frailty Assessment for Risk prediction in Gynecologic Oncology patients undergoing surgery and chemotherapy (FARGO) study protocol: Rationale and design of a multi-centre prospecti... by Julie My Van Nguyen, Danielle Vicus, Liat Hogen, Tiffany Zigras, Guillaume Paré, Michael Chong, Yetiani Roldan Benitez, P J Devereaux, Sandra Ofori, Flavia K Borges, Emily Di Sante, Denise Miletic, Olivia Panus, Jessica Vincent, Chinthanie Ramasundarahettige, Sofia Nene, Ameen Patel, Maura Marcucci

“…The primary objective is to evaluate the predictive value of the Frailty Phenotype measured preoperatively, compared with the currently used perioperative risk assessment (cardiovascular risk assessment based on the Revised Cardiac Risk Index, age, and occurrence of myocardial injury after non-cardiac surgery) in predicting the composite outcome of all-cause death or new disability at six months after surgery. …”
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Predicting Tumour Progression of ID-8 Syngeneic Mouse Ovarian Cancer with Blood Biomarkers of CA-125, IL-6 and VEGF: A Prospective Laboratory-Based Study by Kenny Chitcholtan, Arron Dyer, Peter Sykes

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The responses of tropical forest species to global climate change: acclimate, adapt, migrate, or go extinct? by Brian Machovina, Evan M Rehm, Kenneth J Feeley

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Integrated analysis of bioinformatics, mendelian randomization, and experimental validation reveals novel diagnostic and therapeutic targets for osteoarthritis: progesterone as a p... by Ziyu Weng, Chenzhong Wang, Bo Liu, Yi Yang, Yueqi Zhang, Chi Zhang

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Systematic mutagenesis of genes encoding predicted autotransported proteins of Burkholderia pseudomallei identifies factors mediating virulence in mice, net intracellular replicati... by Natalie R Lazar Adler, Mark P Stevens, Rachel E Dean, Richard J Saint, Depesh Pankhania, Joann L Prior, Timothy P Atkins, Bianca Kessler, Arnone Nithichanon, Ganjana Lertmemongkolchai, Edouard E Galyov

“…Subsequently, we expressed recombinant proteins of the passenger domain of four predicted autotransporters representing each of the phenotypic groups identified: those attenuated for virulence (BcaA), those attenuated for virulence and net intracellular replication (BpaE), the BpaC mutant with defects in virulence, net intracellular replication and serum resistance and those displaying wild-type phenotypes (BatA). …”
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Triglyceride High-Density Lipoprotein Ratios Predict Glycemia-Lowering in Response to Insulin Sensitizing Drugs in Type 2 Diabetes: A Post Hoc Analysis of the BARI 2D by Joel Zonszein, Manuel Lombardero, Faramarz Ismail-Beigi, Pasquale Palumbo, Suzy Foucher, Yolanda Groenewoud, Gary Cushing, Bernardo Wajchenberg, Saul Genuth, BARI 2D Study Group

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The external validity of machine learning-based prediction scores from hematological parameters of COVID-19: A study using hospital records from Brazil, Italy, and Western Europe. by Ali Safdari, Chanda Sai Keshav, Deepanshu Mody, Kshitij Verma, Utsav Kaushal, Vaadeendra Kumar Burra, Sibnath Ray, Debashree Bandyopadhyay

“…The external-validity of the haematology-based COVID-19-predictions on diverse populations are yet to be fully investigated. …”
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Construction of a stromal cell-related prognostic signature based on a 101-combination machine learning framework for predicting prognosis and immunotherapy response in triple-nega... by Fanrong Li, Congnan Jin, Yacheng Pan, Zheng Zhang, Liying Wang, Jieqiong Deng, Yifeng Zhou, Yifeng Zhou, Binbin Guo, Shenghua Zhang, Shenghua Zhang

“…FN1 was validated as a key oncogene impacting TNBC progression and malignant phenotype, with potential as a therapeutic target.…”
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Genomic and Immune Profiling of Esophageal Squamous Cell Carcinoma Undergoing Neoadjuvant Therapy Versus Upfront Surgery Identifies Novel Immunogenic Cell Death‐Based Signatures fo... by Peidong Song, Wenze Tian, Yujia Zheng, Sukai Xu, Zihao Hu, Xing Jin, Xuejuan Zhu, Lijie Tan, Donglai Chen, Yongbing Chen

“…A five‐gene RINscore incorporating ICD‐related signature genes with TME‐based hub genes was established to predict clinical outcomes and pharmacological responses, in which SLAMF7 and IL1R1 were selected out as co‐expressed genes. …”
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Tumor-agnostic transcriptome-based classifier identifies spatial infiltration patterns of CD8+T cells in the tumor microenvironment and predicts clinical outcome in early-phase and... by Cláudia S Ferreira, Konstanty Korski, Michael A Cannarile, Irina Klaman, Petra C Schwalie, Iakov I Davydov, Andreas Roller, Martha L Serrano-Serrano, Astrid Heller, Nicolas Staedler, Gabriele Dietmann, Alberto Valdeolivas

“…Melanoma and kidney cancers were among the strongest inflamed indications, while CD8-desert phenotypes were most abundant in liver metastases across all tumor types. …”
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Estimation of Maize Yield in Plastic Film Mulched Field Using UAV Multispectral Imagery by Yue Wang, Min Hou, Zeyu Zhao, Kaiping Zhang, Jie Huang, Li Zhang, Feng Zhang

“…In precision agriculture research, it is important to monitor maize growth conditions in real time for effective field diagnosis, management, and accurate yield prediction. This study aimed to develop an inverse model of vegetation index and maize yield using Unmanned Aerial Vehicle (UAV) multispectral imagery. …”
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Liver metastases in thyroid cancer: epidemiology, risk stratification and survival outcomes in the immunotherapy era by Ming-Lu Xu, Yang-Yang Wang, Li-Ping Xie, Ning Ding, Jia-Jun Hui

“…These findings also highlight the critical need to optimize survival outcomes for this aggressive metastatic phenotype in immunotherapy era.…”
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Protein expression of cancer stem cell markers ABCG2, podoplanin, and CD44 predicts early recurrence of oral squamous cell carcinoma: A study from Western India by Trupti I. Trivedi, Toral H. Mandaliya, Priti P. Trivedi

“…Therefore, this study investigated the usefulness of adenosine triphosphate (ATP)-binding cassette subfamily G member 2 (ABCG2), podoplanin (PDPN), and cluster of differentiation (CD) 44 (CD44) that may help to identify patients with an aggressive phenotype and predict prognosis precisely. Materials and Methods: The protein expression of ABCG2, PDPN, and CD44 was investigated in 125 OSCC patients using immunohistochemistry and correlated with clinicopathological parameters and disease outcomes. …”
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Observational study of sudden cardiac arrest risk (OSCAR): Rationale and design of an electronic health records cohort by Kyndaron Reinier, Harpriya S. Chugh, Audrey Uy-Evanado, Elizabeth Heckard, Marco Mathias, Nichole Bosson, Vinicius F. Calsavara, Piotr J. Slomka, David A. Elashoff, Alex A.T. Bui, Sumeet S Chugh

“…Conclusions: The OSCAR cohort will provide a large, diverse dataset and adjudicated SCA outcomes to facilitate the derivation and testing of risk prediction models for incident SCA.…”
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A dual-task segmentation network based on multi-head hierarchical attention for 3D plant point cloud by Dan Pan, Baijing Liu, Lin Luo, An Zeng, Yuting Zhou, Kaixin Pan, Zhiheng Xian, Yulun Xian, Yulun Xian, Licheng Liu

“…IntroductionThe development of automated high-throughput plant phenotyping systems with non-destructive characteristics fundamentally relies on achieving accurate segmentation of botanical structures at both semantic and instance levels. …”
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From chemoproteomic‐detected amino acids to genomic coordinates: insights into precise multi‐omic data integration by Maria F Palafox, Heta S Desai, Valerie A Arboleda, Keriann M Backus

“…Enabled by this examination of mapping strategies, we then integrated our chemoproteomics data with computational methods for predicting genetic variant pathogenicity, which revealed that codons of highly reactive cysteines are enriched for genetic variants that are predicted to be more deleterious and allowed us to identify and functionally characterize a new damaging residue in the cysteine protease caspase‐8. …”
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Harnessing Artificial Intelligence and Machine Learning for Identifying Quantitative Trait Loci (QTL) Associated with Seed Quality Traits in Crops by My Abdelmajid Kassem

“…Recent advances in artificial intelligence (AI) and machine learning (ML) provide powerful alternatives that enable more accurate trait prediction, robust marker-trait associations, and efficient feature selection. …”
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Multiplexed immune profiling and 3D co-culture assays to assess the individual checkpoint therapy response in head and neck squamous cell carcinoma by Verena Schweihofer, Verena Schweihofer, Daniela Schulz, Daniela Schulz, Raquel Blazquez, Gero Brockhoff, Gero Brockhoff, Tobias Ettl, Tobias Ettl, Mathias Fiedler, Mathias Fiedler, Sina Heimer, Sina Heimer, Juliane Schikora, Richard J. Bauer, Richard J. Bauer, Anja Kathrin Wege, Anja Kathrin Wege

“…Furthermore, tumor–immune co-cultures from selected patients showed a stronger apoptotic response and phenotypic differences (e.g., increased PD-1 and CD137 expression) upon atezolizumab treatment. …”
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