Multifaceted Assessment of Chronic Gastritis: A Study of Correlations between Serological, Endoscopic, and Histological Diagnostics by Toshitatsu Takao, Takeshi Ishikawa, Takashi Ando, Madoka Takao, Tsuguhiro Matsumoto, Yutaka Isozaki, Mika Okita, Yasuyuki Nagao, Hirokazu Oyamada, Keiichi Yokoyama, Atsushi Tatebe, Kazuhiko Uchiyama, Osamu Handa, Tomohisa Takagi, Nobuaki Yagi, Satoshi Kokura, Yuji Naito, Toshikazu Yoshikawa

“…Pepsinogen I/II ratio allows prediction of the existence of endoscopic gastritis and histological gastritis, or the extent of their development, with high accuracy.…”
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Blood-based prognostic scores and early dynamics under immunotherapy to select patients with metastatic solid tumors for continuing immune check-point inhibition: a prospective lon... by Javier García-Corbacho, Alberto Indacochea, Iván Victoria, Débora Moreno, Laura Angelats, Azucena E. González Navarro, Laura Mezquita, Fara Brasó-Maristany, Patricia Galván, Begoña Mellado, Nuria Viñolas, Tamara Sauri, Miquel Nogué, Barbara Adamo, Joan Maurel, Estela Pineda, Lydia Gaba, Oscar Reig, Neus Basté, Esther Sanfeliu, Manel Juan, Aleix Prat, Francesco Schettini

“…The primary endpoint was identifying the best score to predict rapid PD (≤ 4 months) with ICI using logistic regressions accounting for tumor type, and receiving operators characteristics (ROC) with area under curve (AUC), accompanied by an extensive comparison of the score performances in the prediction of overall survival (OS), progression-free survival (PFS), overall response rates (ORR) and durable clinical benefit (DCB). …”
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A New Metabolism-Related Index Correlates with the Degree of Liver Fibrosis in Hepatitis C Virus-Positive Patients by Hirayuki Enomoto, Nobuhiro Aizawa, Hideji Nakamura, Ryo Takata, Yoshiyuki Sakai, Yoshinori Iwata, Hironori Tanaka, Naoto Ikeda, Tomoko Aoki, Kunihiro Hasegawa, Kazunori Yoh, Kenji Hashimoto, Akio Ishii, Tomoyuki Takashima, Masaki Saito, Hiroyasu Imanishi, Hiroko Iijima, Shuhei Nishiguchi

“…In addition, the index showed a higher AUROC value than that of FIB-4 and the APRI for prediction of liver cirrhosis. Conclusion. The new metabolism-related index, GA/HbA1c/BTR value, is shown to relate to the degree of liver fibrosis in HCV-positive patients.…”
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Comprehensive Evaluation of GPM-IMERG, CMORPH, and TMPA Precipitation Products with Gauged Rainfall over Mainland China by Guanghua Wei, Haishen Lü, Wade T. Crow, Yonghua Zhu, Jianqun Wang, Jianbin Su

“…Moreover, IMERG V05B was compared with IMERG V04A, the Tropical Rainfall Measuring Mission (TRMM) 3B42, and the Climate Prediction Center Morphing technique (CMORPH)-CRT in this study. …”
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The diagnostic value of the combined application of blood lipid metabolism markers and interleukin-6 in osteoporosis and osteopenia by Liping Fan, Jiahao Chen, Chong Chen, Yongwei Zhang, Yeqing Yang, Zhe Chen

“…Abstract Background This study aimed to analyse the relationship of the blood lipid profile and interleukin-6 (IL-6) with osteoporosis and osteopenia and to explore the predictive value of the combined application of these biomarkers in osteoporosis and osteopenia. …”
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Causes of growing middle-to-upper tropospheric ozone over the northwest Pacific region by X. Ma, X. Ma, J. Huang, J. Huang, M. I. Hegglin, M. I. Hegglin, P. Jöckel, T. Zhao

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Combined Age with Mean Decrease Rates of Total Bilirubin and MELD Score as a Novel and Simple Clinical Predictor on 90-Day Transplant-Free Mortality in Adult Patients with Acute Li... by Di Jin, Kai Kang, Bing-zhu Yan, Jian-nan Zhang, Jun-bo Zheng, Zhi-hui Wang, Di Wu, Yu-jia Tang, Xin-tong Wang, Qi-qi Lai, Yang Cao, Hong-liang Wang, Yang Gao

“…However, no existing models can provide a satisfactory performance for clinical prediction on 90-day transplant-free mortality in adult patients with ALF undergoing PE. …”
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Twenty years’ experience of midgut malrotation and volvulus in a tertiary center in northern Taiwan: A retrospective study by Wen-Yu Tseng, Ming-Wei Lai, Jin-Yao Lai, Chien-Chang Chen, Hsun-Chin Chao, Jeng-Chang Chen, Shih-Yen Chen, Yung-Ching Ming, Hung-Yu Yeh, Hung-Hsiang Lai, Sze-Ya Ting, Pai-Jui Yeh

“…An AST/Hb ratio of <3.78 demonstrated a high negative predictive value (98.6%) for an adverse outcome in midgut malrotation. …”
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Editorial by Christian Gütl

“…Song Yu, Bugao Jiang, Danni Zhang, and Zhifang Liao from China address in their research a cross-community question relevance prediction model, CCQRP, to predict the relevance of Stack Overflow questions and GitHub issues and recommend relevant GitHub issues. …”
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Identification and susceptibility assessment of landslide disasters in the red bed formation along the Nanjian-Jingdong Expressway by Yifan Cao, Zhifang Zhao, Mingchun Wen, Xin Zhao, Dingyi Zhou, Jingyi Qin, Liu Ouyang, Jingyao Cao

“…In combination with optical imagery data, a total of 521 landslide disaster points were identified. (2) In comparison to individual machine learning models, the Stacking demonstrated superior performance, with prediction capabilities and accuracy that surpassed other models. …”
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The Microlensing Event Rate and Optical Depth from MOA-II 9 Yr Survey Toward the Galactic Bulge by Kansuke Nunota, Takahiro Sumi, Naoki Koshimoto, Nicholas J. Rattenbury, Fumio Abe, Richard Barry, David P. Bennett, Aparna Bhattacharya, Akihiko Fukui, Ryusei Hamada, Shunya Hamada, Naoto Hamasaki, Yuki Hirao, Stela Ishitani Silva, Yoshitaka Itow, Yutaka Matsubara, Shota Miyazaki, Yasushi Muraki, Tsutsumi Nagai, Greg Olmschenk, Clement Ranc, Yuki K. Satoh, Daisuke Suzuki, Paul. J. Tristram, Aikaterini Vandorou, Hibiki Yama, (MOA collaboration)

“…We find our result is inconsistent with a prediction based on Galactic models, especially in the central region with ∣ b ∣ < 3°. …”
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Intelligence algorithm for the treatment of gastrointestinal diseases based on immune monitoring and neuroscience: A revolutionary tool for translational medicine by Liangyu Li, Xuewen Qin, Guangwei Wang, Siyi Li, Xudong Li, Lizhong Guo, Javier Santos, Ana María Gonzalez-Castro, Yanyang Tu, Yi Qin

“…The working mechanism of this model is to assign values to the parameters of the BP neural network by using the process of searching for the best fitness in multiple universes. This model can predict the five-year survival rate of patients based on immunohistochemical data. …”
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Comparison of autism domains across thirty rare variant genotypesResearch in context by Nabila M.H. Ali, Samuel J.R.A. Chawner, Leila Kushan-Wells, Carrie E. Bearden, Jennifer Gladys Mulle, Rebecca M. Pollak, Raquel E. Gur, Wendy K. Chung, Michael J. Owen, Marianne B.M. van den Bree, Harriet Housby, Irene Lee, David Skuse, Jeanne Wolstencroft, William Mandy, Spiros Denaxas, Kate Baker, Lucy Raymond, Marianne van den Bree, Samuel Chawner, Jeremy Hall, Peter Holmans, Josh Hope-Bell, Danielle Le Roux, Sally Morrin, Michael Owen, Shreeya Sivakumar

“…Further research is needed in order to understand these influences, improve risk prediction and inform genetic counselling and interventions. …”
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The prognostic value of the 8th American Joint Committee on cancer anatomic and prognostic stage groups for penile cancer: A multicenter collaboration study by Xueying Li, Yepeng Guo, Antonio Augusto Ornellas, Jiun-Hung Geng, Yonghong Li, Wayne Lam, Yabing Cao, Zhuowei Liu, Hui Han, Fangjian Zhou, Zaishang Li

“…The improved models, which are more concise and convenient, have similar prediction accuracy.…”
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Studies on fatty acids and microbiota characterization of the gastrointestinal tract of Tianzhu white yaks by Chen Shaopeng, Cui Changze, Qi Youpeng, Mi Baohong, Zhang Meixian, Jiao Chenyue, Zhu Chune, Wang Xiangyan, Hu Jiang, Hu Jiang, Shi Bingang, Shi Bingang, Ma Xueming, Zhao Zhidong, Zhao Zhidong, Zhang Xiaolan

“…Ruminococcaceae_bacterium_g_UCG-005 and bacterium_g_Rikenellaceae_RC9_gut_group were unique to the colon. KEGG functional prediction of the microbiota indicated that the dominant functions in the rumen, abomasum, colon, and jejunum were amino acid metabolism, glycan biosynthesis and metabolism, carbohydrate metabolism, and membrane transport, respectively, reflecting the digestive functions of these organs. …”
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Source attribution of human Campylobacter infection: a multi-country model in the European Union by Cecilie Thystrup, Maja Lykke Brinch, Clementine Henri, Lapo Mughini-Gras, Lapo Mughini-Gras, Eelco Franz, Kinga Wieczorek, Montserrat Gutierrez, Deirdre M. Prendergast, Geraldine Duffy, Catherine M. Burgess, Declan Bolton, Julio Alvarez, Julio Alvarez, Vicente Lopez-Chavarrias, Thomas Rosendal, Lurdes Clemente, Ana Amaro, Aldert L. Zomer, Katrine Grimstrup Joensen, Eva Møller Nielsen, Gaia Scavia, Magdalena Skarżyńska, Miguel Pinto, Mónica Oleastro, Wonhee Cha, Amandine Thépault, Katell Rivoal, Martine Denis, Marianne Chemaly, Tine Hald

“…The aim of this study was to predict the sources of human campylobacteriosis cases across multiple countries using available whole-genome sequencing (WGS) data and explore the impact of data availability and sample size distribution in a multi-country source attribution model.MethodsWe constructed a machine-learning model using k-mer frequency patterns as input data to predict human campylobacteriosis cases per source. …”
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Evaluation of Treatment Outcomes Using dNLR and GNRI in Combination Therapy With Atezolizumab and Bevacizumab for Hepatocellular Carcinoma by Atsushi Naganuma, Satoru Kakizaki, Atsushi Hiraoka, Toshifumi Tada, Takeshi Hatanaka, Kazuya Kariyama, Joji Tani, Masanori Atsukawa, Koichi Takaguchi, Ei Itobayashi, Shinya Fukunishi, Kunihiko Tsuji, Toru Ishikawa, Kazuto Tajiri, Hidenori Toyoda, Chikara Ogawa, Hiroki Nishikawa, Takashi Nishimura, Kazuhito Kawata, Hisashi Kosaka, Masashi Hirooka, Yutaka Yata, Hideko Ohama, Hidekatsu Kuroda, Tomomitsu Matono, Tomoko Aoki, Yuki Kanayama, Kazunari Tanaka, Fujimasa Tada, Kazuhiro Nouso, Asahiro Morishita, Akemi Tsutsui, Takuya Nagano, Norio Itokawa, Tomomi Okubo, Taeang Arai, Michitaka Imai, Shinichiro Nakamura, Hirayuki Enomoto, Masaki Kaibori, Yoichi Hiasa, Masatoshi Kudo, Takashi Kumada

“…ABSTRACT Aim This study aims to investigate the clinical utility of the derived neutrophil‐to‐lymphocyte ratio (dNLR) and the Geriatric Nutritional Risk Index (GNRI) in predicting treatment outcomes for patients with unresectable hepatocellular carcinoma (HCC) undergoing combination therapy with atezolizumab and bevacizumab (Atez/Bev). …”
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Bounding elastic photon-photon scattering at s≈1 MeV using a laser-plasma platform by R. Watt, B. Kettle, E. Gerstmayr, B. King, A. Alejo, S. Astbury, C. Baird, S. Bohlen, M. Campbell, C. Colgan, D. Dannheim, C. Gregory, H. Harsh, P. Hatfield, J. Hinojosa, D. Hollatz, Y. Katzir, J. Morton, C.D. Murphy, A. Nurnberg, J. Osterhoff, G. Pérez-Callejo, K. Põder, P.P. Rajeev, C. Roedel, F. Roeder, F.C. Salgado, G.M. Samarin, G. Sarri, A. Seidel, C. Spindloe, S. Steinke, M.J.V. Streeter, A.G.R. Thomas, C. Underwood, W. Wu, M. Zepf, S.J. Rose, S.P.D. Mangles

“…Although far from the QED prediction, this represents the lowest upper limit obtained so far for Image 5.…”
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AutoLDP: An accurate and efficient artificial intelligence-based tool for automatic labeling of digital pathology by Yingnan Zhao, Huifen Ye, Jing Yang, Su Yao, Maohua Lv, Zhihong Chen, Yunrui Ye, Qingru Hu, Cheng Lu, Zaiyi Liu, Ke Zhao, Zhihua Chen

“…Background: Whole-slide image (WSI) is foundational for artificial intelligence in tumor diagnosis, treatment planning, and prognosis prediction. Efficient management of WSI labels is crucial for clinical digitalization; however, manual or semiautomatic methods limit scalability. …”
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A practical distribution pattern of α-SMA-positive carcinoma associated fibroblasts indicates poor prognosis of patients with pancreatic ductal adenocarcinoma by Bo Li, Meilong Shi, Yang Wang, Penghao Li, Xiaoyi Yin, Guoxiao Zhang, Xiaochao Kang, Huan Wang, Suizhi Gao, Kailian Zheng, Xiaohan Shi, Xiongfei Xu, Yukun Zhou, Hui Jiang, Wei Jing, Shiwei Guo, Gang Jin

“…Purpose The present study aimed to clarify the distribution pattern of carcinoma associated fibroblasts (CAFs) across pancreatic ductal adenocarcinoma (PDAC) and its prognostic prediction value.Methods Data of two cohorts were retrospectively collected from consecutive patients who underwent primary pancreatic resection from January 2015 to December 2017. …”
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