Higher Trace Elements and Lower Fatty Acids Levels in Erythrocytes as Predictors of Preeclampsia by Ruth Widhiati Raharjo Putri, Damar Prasmusinto, Noroyono Wibowo, Rima Irwinda, Yuditiya Purwosunu, Yudianto Budi Saroyo

“…Linoleic acid showed the highest predictive value to increase severe preeclampsia with AUC of 0.8. …”
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T cell receptors specific for an imatinib-induced mutation in BCR-ABL for adoptive T cell therapy by Meng-Tung Hsu, Gerald Willimsky, Gerald Willimsky, Gerald Willimsky, Leo Hansmann, Leo Hansmann, Leo Hansmann, Leo Hansmann, Thomas Blankenstein

“…Two candidate peptides derived from the E255V and the T315I mutation (designated ABL-E255V and ABL-T315I) were selected for study based on their in silico predicted binding affinity to HLA-A2. By immunizing transgenic mice that express a diverse human T cell receptor (TCR) repertoire restricted to HLA-A2, we detected CD8+ T cell responses against the ABL-E255V, but not the ABL-T315I peptide. …”
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Analysis of tumoral, stromal and glycolitic markers in the response basal cell carcinoma and Bowen disease to photodynamic therapy in real life by L Bernal-Masferrer, T Gracia-Cazaña, L Najera-Botello, MC Gomez-Mateo, P Cerro, MC Matei, M Gallego-Rentero, S González, A Juarranz, Y Gilaberte

“…Biomarkers such as p53, β-catenin, and GLUT1 can serve as predictive tools for PDT response, helping clinicians identify patients who may benefit from alternative or combined treatments to enhance therapeutic efficacy.…”
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Identification of Psychological Factors Associated with Adherence to Self-Care Behaviors amongst Patients with Type 1 Diabetes by Dácil Alvarado-Martel, M. Ángeles Ruiz Fernández, Maribel Cuadrado Vigaray, Armando Carrillo, Mauro Boronat, Ana Expósito Montesdeoca, Ana M. Wägner

“…Motivation, training in diabetes management, importance the patient attributed to the disease, and self-efficacy were the variables that predicted adherence to self-care behaviors, together accounting for 32% of its variance. …”
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Lopinavir and Ritonavir have High Affinity Toward the SARS-CoV-2 S-protein Receptor-binding Domain Sequenced in Brazil by Aline Diogo Marinho, Helyson Lucas Bezerra Braz, João Alison de Moraes Silveira, Danilo Galvão Rocha, Roberta Jeane Bezerra Jorge, Geanne Matos de Andrade

“…The three-dimensional structure of the Omicron RBD model was generated through homology modeling, and potential active site cavities were predicted within the RBD structure. Results: Among the seven drugs tested, only lopinavir and ritonavir demonstrated significant binding affinities to the RBD. …”
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Advancing precision therapy for colorectal cancer: Developing clinical indications for multi-target kinase inhibitor BPR1J481 using patient-derived xenograft models by Ya-Chu Tang, Jing-Jim Ou, Shu-Ching Hsu, Chih-Hsiang Huang, Li-Mei Lin, Hsin-Huei Chang, Yi-Hsin Wang, Zih-Ting Huang, Manwu Sun, Ko-Jiunn Liu, Yi-Mei Hung, Chi-Yun Lai, Chuan Shih, Chiung-Tong Chen, Jang-Yang Chang, Hsing-Pang Hsieh, Weir-Torn Jiaang, Ching-Chuan Kuo

“…Patient-derived xenograft (PDX) models are currently considered reliable in vivo preclinical models for predicting drug efficacy in cancer patients. This study successfully uses the CRC PDX model to develop clinical indications for the new multi-target kinase inhibitor BPR1J481 and demonstrated the anti-cancer mechanism and competitive advantages of this drug candidate. …”
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Multi-Omics and Network-Based Drug Repurposing for Septic Cardiomyopathy by Pei-Pei Liu, Xin-Yue Yu, Qing-Qing Pan, Jia-Jun Ren, Yu-Xuan Han, Kai Zhang, Yan Wang, Yin Huang, Tao Ban

“…Results: Network analysis identified 129 drugs associated with SCM, which were refined to 14 drug candidates based on strong network predictions, proven anti-infective effects, suitability for ICU use, and minimal side effects. …”
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Preferences of people with type 2 diabetes for telemedical lifestyle programmes in Germany: protocol of a discrete choice experiment by Veronika Gontscharuk, Andrea Icks, Michael Roden, Markus Vomhof, Sandra Grobosch, Jana Sommer, Jan Dyczmons

“…This study aims to examine the preferences of people with T2DM with respect to telemedical lifestyle programmes, to analyse whether these preferences predict programme success and to explore the changes that may occur during a telemedical lifestyle intervention.Methods and analysis We outline the protocol of the development and assessment of a discrete choice experiment (DCE) to examine patient preferences in a telemedical lifestyle programme with regard to the functions of the online portal, communication, responsibilities, group activities and time requirements. …”
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Preoperative anemia is associated with prolonged hospital stay and increased facility discharges after glioblastoma resection by Ahmad K. Almekkawi, Ammar Adenwalla, James P. Caruso, William H. Hicks, Benjamin Rail, Carlos A. Bagley, Jonathan D. Breshears, Tarek Y. El Ahmadieh, Tomas Garzon-Muvdi, Samuel A. Goldlust

“…Further study is required to determine whether pre-operative hemoglobin optimization can improve postoperative clinical outcomes, and whether other hematologic and inflammatory markers are predictive of postoperative recovery and functional status.…”
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Experimental assessment of condition monitoring techniques for an OWC electrical generator operating at overload by Joseba Lopez-Mendia, Iker Erkiaga, Pablo Ruiz-Minguela, Ivan Ruibal, Eider Robles, Salvador Ceballos

“…Several generator condition monitoring alternatives will be evaluated to identify the best option to detect and predict a future failure of the generator stator winding, such as Electrical Signature Analysis, Park’s Vector Approach, or direct monitorization of stator temperature and insulation. …”
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Association between triglyceride-glucose-body mass index and risk of aortic stenosis progression in patients with non-severe aortic stenosis: a retrospective cohort study by Zhen Guo, Zhenyu Xiong, Lixiang He, Shaozhao Zhang, Xinghao Xu, Guanzhong Chen, Mengjie Xie, Wenjing Zhang, Ziwen Hui, Jiaying Li, Xinxue Liao, Xiaodong Zhuang

“…Abstract Background Triglyceride-glucose-BMI (TyG-BMI) index is a surrogate marker of insulin resistance and an important predictor of cardiovascular disease. However, the predictive value of TyG-BMI index in the progression of non-severe aortic stenosis (AS) is still unclear. …”
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Mapping of Minimal Motifs of B-Cell Epitopes on Human Zona Pellucida Glycoprotein-3 by Wan-Xiang Xu, Ya-Ping He, Jian Wang, Hai-Ping Tang, Hui-Juan Shi, Xiao-Xi Sun, Chao-Neng Ji, Shao-Hua Gu, Yi Xie

“…In this study, based on known results of mapping marmoset and bonnet monkey ZP3 (mstZP3 and bmZP3), two predictable epitopes23–30  and  301–320 on hZP3 were first confirmed and five minimal motifs within four epitopes on hZP3 were defined using serum to recombinant hZP3a22–176 or hZP3b177–348 as well as a biosynthetic peptide strategy. …”
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Inflammatory-Driven Angiogenesis in Bone Augmentation with Bovine Hydroxyapatite, B-Tricalcium Phosphate, and Bioglasses: A Comparative Study by Vlad M. Anghelescu, Ioana Neculae, Octavian Dincă, Cristian Vlădan, Claudiu Socoliuc, Mirela Cioplea, Luciana Nichita, Cristiana Popp, Sabina Zurac, Alexandru Bucur

“…The clinical use of bioactive materials for bone augmentation has remained a challenge because of predictability and effectiveness concerns, as well as increased costs. …”
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The big five personality traits and eating habits among female students at Zayed University by Sharifa AlBlooshi, Kawther AlSabbah, Shatha Thani, Rafiq Hijazi, Ayesha S. Al Dhaheri, Falak Zeb, Leila Cheikh Ismail, Leila Cheikh Ismail

“…Personality traits are consistent behavioral patterns that individuals typically exhibit, and the Five-Factor Model (also known as the Big Five) is widely recognized as an effective framework for predicting personality traits.MethodsThis study analyzed the relationship between personality traits and eating behaviors among 425 female students using a cross-sectional design. …”
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Role of postoperative radiotherapy in pT3N0 rectal cancer: A risk‐stratification system based on population analyses by Yun‐xia Huang, Yan‐zong Lin, Jin‐luan Li, Xue‐qing Zhang, Li‐rui Tang, Qing‐yang Zhuang, Fei‐fei Lin, Xi‐jin Lin, Jun‐xin Wu

“…Our risk‐stratification model based on age, tumor differentiation, and number of nodes resected predicted the outcomes of pT3N0 rectal cancer patients. …”
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SEC61 translocon gamma subunit is correlated with glycolytic activity, epithelial mesenchymal transition and the immune suppressive phenotyp... by Zhou Changshuai, Cui Huanhuan, Yang Yuechao, Chen Lei, Feng Mingtao, Gao Yang, Li Deheng, Li Liangdong, Chen Xin, Li Xiaoqiu, Cao Yiqun

“…These findings underscore the potential of SEC61G as a therapeutic target and predictive marker for immunotherapeutic responses in LUAD patients.…”
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Dysregulated T Cell Activation and Aberrant Cytokine Expression Profile in Systemic Lupus Erythematosus by Haiyan Zhou, Bojiang Li, Jing Li, Tongqian Wu, Xiaoqian Jin, Rui Yuan, Ping Shi, Yan Zhou, Long Li, Fang Yu

“…We also developed a chemokine and cytokine profiling strategy to predict the activity of SLE, which has clinical implication for better monitoring the flares and remission during the course of SLE and for assessing therapeutic interventions.…”
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Genetic association of lipid and lipid-lowing drug targets with uterine fibroids by Mei Wu, Qiannan Lin, Siyu Li, Huiyan Wang, Wenbo Zhou

“…Drug-targeted MR analysis results indicated that genetically predicted inhibition of cholesteryl ester transfer protein (CETP) was associated with a lower UF risk (OR = 0.95, 95 % CI: 0.92–0.98, P = 7.83E-4), as well as reduced levels or risk of other UF-associated clinical traits, including estradiol level, excessive menstruation, abdominal and pelvic pain, myomectomy, and miscarriage. …”
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Analysis of the Clinicopathological Characteristics, Genetic Phenotypes, and Prognostics of Primary Pulmonary and Bronchial Adenoid Cystic Carcinoma by Zhengyang Hu, Xing Jin, Jian Wang, Qihai Sui, Yanjun Yi, Dejun Zeng, Zhencong Chen, Qun Wang, Jiacheng Yin, Lin Wang, Zongwu Lin

“…Univariate and multivariate analyses through Cox proportional hazards regression identified risk factors that predicted OS. The limma and matfools packages from R were used to compare the differential genes and mutations between PACC and LUAD, respectively. …”
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The multiple uses of artificial intelligence in exercise programs: a narrative review by Alberto Canzone, Alberto Canzone, Giacomo Belmonte, Antonino Patti, Domenico Savio Salvatore Vicari, Domenico Savio Salvatore Vicari, Fabio Rapisarda, Valerio Giustino, Patrik Drid, Antonino Bianco

“…The findings suggest that artificial intelligence holds promise in promoting physical activity across diverse populations, including children, adolescents, adults, older adult, and individuals with disabilities.ConclusionOur research found that artificial intelligence, machine learning and deep learning techniques were used: (a) as part of applications to generate automatic messages and be able to communicate with users; (b) as a predictive approach and for gesture and posture recognition; (c) as a control system; (d) as data collector; and (e) as a guided trainer.…”
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