Revealing the heterogeneity of treatment resistance in less‐defined subtype diffuse large B cell lymphoma patients by integrating programmed cell death patterns and liquid biopsy by Wei Hua, Jie Liu, Yue Li, Hua Yin, Hao‐Rui Shen, Jia‐Zhu Wu, Yi‐Lin Kong, Bi‐Hui Pan, Jun‐Heng Liang, Li Wang, Jian‐Yong Li, Rui Gao, Jin‐Hua Liang, Wei Xu

“…Conclusively, leveraging these results, we have created an online analytical tool (https://xulymphoma.shinyapps.io/PCDI_pred/) designed for the prognostic prediction of patients with less‐defined subtype DLBCL. …”
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Prediksi Kelulusan Tepat Waktu Berdasarkan Riwayat Akademik Menggunakan Metode K-Nearest Neighbor by Imam Riadi, Rusydi Umar, Rio Anggara

“…The test results point k=1 to point k=7, k=3 is the highest prediction accuracy value so that the research results become a source of knowledge for the faculty in predicting student graduation. …”
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Machine learning cluster analysis identifies increased 12-month mortality risk in transcatheter aortic valve replacement recipients by Thomas Meredith, Thomas Meredith, Thomas Meredith, Farhan Mohammed, Amy Pomeroy, Sebastiano Barbieri, Sebastiano Barbieri, Erik Meijering, Louisa Jorm, David Roy, Jason Kovacic, Jason Kovacic, Jason Kovacic, Jason Kovacic, Michael Feneley, Michael Feneley, Michael Feneley, Christopher Hayward, Christopher Hayward, Christopher Hayward, David Muller, David Muller, David Muller, Mayooran Namasivayam, Mayooran Namasivayam, Mayooran Namasivayam

“…Our results highlight the utility of machine learning applications for clinical risk prediction and scope to improve patient surveillance.…”
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Multi-generational adaptation to Solanum nigrum increases reproduction and decreases microbial diversity of Aphis gossypii by Peng Wang, Peng Wang, Yu-Xi Jing, Ya-Jie Ma, Ya-Jie Ma, Dan Wang, Yong-Pan Shan, Hongyan Hu, Changcai Wu, Xian-Peng Song, Xiangliang Ren, Xiangliang Ren, Xiangliang Ren, Yan Ma, Yan Ma, Yan Ma, Xiaoyan Ma, Xiaoyan Ma, Xiaoyan Ma

“…KEGG (Kyoto Encyclopedia of Genes and Genomes) function prediction analysis suggested that the roles of symbiotic bacteria in A. gossypii are primarily linked to metabolic processes. …”
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Identification of PET/CT radiomic signature for classification of locally recurrent rectal cancer: A network-based feature selection approach by Sara Dalmonte, Maria Adriana Cocozza, Dajana Cuicchi, Daniel Remondini, Lorenzo Faggioni, Paolo Castellucci, Andrea Farolfi, Emilia Fortunati, Alberta Cappelli, Riccardo Biondi, Arrigo Cattabriga, Gilberto Poggioli, Stefano Fanti, Gastone Castellani, Francesca Coppola, Nico Curti

“…The whole analysis was conducted separately for CT and PET images to evaluate their different predictive power. Radiomic features were extracted from suspected lesion volumes identified by physicians and the most relevant radiomic features were selected to predict the presence or absence of LRRC. …”
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Fusion of EEG and EMG signals for detecting pre-movement intention of sitting and standing in healthy individuals and patients with spinal cord injury by Chenyang Li, Chenyang Li, Yuchen Xu, Tao Feng, Tao Feng, Minmin Wang, Minmin Wang, Minmin Wang, Xiaomei Zhang, Li Zhang, Li Zhang, Ruidong Cheng, Weihai Chen, Weihai Chen, Weidong Chen, Weidong Chen, Shaomin Zhang, Shaomin Zhang, Shaomin Zhang, Shaomin Zhang

“…Each filter paired with a support vector machine classifier to classify future movements into one of three classes: sit-to-stand, stand-to-sit, or rest. The final prediction was determined using a majority voting scheme.ResultsAmong the three functional connectivity methods investigated—coherence, Pearson correlation coefficient and mutual information (MI)—the MI-based EEG–EMG network showed the highest decoding performance (94.33%), outperforming both EEG (73.89%) and EMG (89.16%). …”
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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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Diagnostic markers of severe diabetic macular edema in patients with type 2 diabetes by S.A. Suk, S.Yu. Mogilevskyy

“…With the emergence of the optical coherence tomography (OCT), the possibilities of studying markers for early detection and prediction of DME are expanding, which is an urgent task of modern ophthalmology. …”
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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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Association of thoracic aortic calcium with incident cardiovascular disease and all-cause mortality across the spectrum of coronary artery calcium burden by Alexander C. Razavi, Omar Dzaye, Miguel Cainzos-Achirica, Zeina Dardari, Marly Van Assen, Arshed A. Quyyumi, Khurram Nasir, J. Jeffrey Carr, Matthew J. Budoff, Roger S. Blumenthal, Paolo Raggi, Carlo N. De Cecco, Laurence S. Sperling, Michael J. Blaha, Seamus P. Whelton

“…The addition of TAC to traditional risk factors and CAC did not improve CVD discrimination (ΔC-statistic=+0.002, p=0.12), but incrementally improved prediction of all-cause mortality (CVD: ΔC-statistic=+0.002, p=0.02). …”
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LncRNA LUCAT1 offers protection against human coronary artery endothelial cellular oxidative stress injury through modulating hsa-miR-6776-5p/LRRC25 axis and activating autophagy f... by Yanjun Wang, Xin Zhang, Mengmeng Ren, Shu He, Hengjie Bie, Mengyang Duan, Zhiyuan Chen, Qiaowei Jia, Boyu Chi, Xiongkang Gan, Chengcheng Li, Yahong Fu, Hanxiao Zhou, Sheng Zhang, Qian Zhang, Fenghui An, Xiumei Chen, Enzhi Jia

“…Results (1) The expression of LC3, Beclin1, ATG5, and ATG7 demonstrated a consistent decline whereas p62 expression exhibited an opposite increase as atherosclerosis progressed; (2) Autophagy levels was significantly elevated in HCAECs under oxidative stress, while inhibition of the initial stage of autophagy with 3-MA exacerbated cellular damage; (3) The lncRNA LUCAT1/hsa-miR-6776-5p/LRRC25 axis was established through bioinformatic prediction and validated by dual-luciferase reporter assay, which resulted in a significant decrease in autophagy levels in HCAECs; (4) In total, p62, ATG7, lncRNA LUCAT1 and LRRC25 were validated as robust diagnostic biomarkers for CAD. …”
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Validation of ACC/AHA and ESC Sudden Cardiac Death Risk Guidelines in Diverse Hypertrophic Cardiomyopathy Cohort: Stratification HCM Study by Murillo Oliveira Antunes, Fabio Fernandes, Edmundo Arteaga-Fernandez, Félix José Alvarez Ramires, Vinicius Machado Correia, Juliano Novaes Cardoso, Cristhian Espinoza Romero, Henrique Martins Sousa, Marília Taily Soliani, Matheus Ramos Ramos Dal Piaz, Anna Danielle Rodrigues Gandarella, Ruiza Gonçalves Rocha Teixeira, Charles Mady, Caio Assis Moura Tavares, Patricia O. Guimarães, Vagner Madrini Junior

“…Conclusions: The 2020 ACC/AHA and 2014 ESC guidelines have limitations in predicting SCD events and defining ICD indications in Brazilian HCM patients. …”
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An integrative analysis reveals cancer risk associated with artificial sweeteners by Jumin Xie, Ying Zhu, Zixuan Yang, Zhang Yu, Mingzhi Yang, Qingzhi Wang

“…Methods Targets associated with commonly used AS were screened and validated using databases such as CTD, STITCH, Super-PRED, Swiss Target Prediction, SEA, PharmMapper, and GalaxySagittarius. …”
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Prognostic and diagnostic value of circRNA expression in cervical cancer: a meta analysis by Yi Xu, Yi Xu, Changxia Li, Changxia Li, Lifang Cheng, Shaoheng Wang, Yuqing Wu, Shiyang Li, Mingqiang Liu, Xiaohua Tao

“…This study aimed to methodically assess the function of circular RNAs (circRNAs) as possible indicators of CC, with a specific emphasis on their usefulness in the identification, prediction, and correlation with clinicopathological elements.MethodsA comprehensive literature search was conducted using databases such as PubMed, Cochrane Library, Web of Science, Embase, and the China National Knowledge Infrastructure (CNKI). …”
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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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Deep Learning-Based Identification of Echocardiographic Abnormalities From Electrocardiograms by Goro Fujiki, MD, Satoshi Kodera, MD, PhD, Naoto Setoguchi, MD, Kengo Tanabe, MD, PhD, Kotaro Miyaji, MD, PhD, Shunichi Kushida, MD, PhD, Mike Saji, MD, PhD, Mamoru Nanasato, MD, PhD, Hisataka Maki, MD, PhD, Hideo Fujita, MD, PhD, Nahoko Kato, MD, PhD, Hiroyuki Watanabe, MD, PhD, Minami Suzuki, MD, Masao Takahashi, MD, PhD, Naoko Sawada, MD, PhD, Jiro Ando, MD, Masataka Sato, MD, Shinnosuke Sawano, MD, PhD, Susumu Katsushika, MD, PhD, Hiroki Shinohara, MD, PhD, Norifumi Takeda, MD, PhD, Katsuhito Fujiu, MD, PhD, Hiroshi Akazawa, MD, PhD, Hiroyuki Morita, MD, PhD, Issei Komuro, MD, PhD

“…Although deep learning models can predict one or more echocardiographic findings from electrocardiograms (ECGs), such analyses are not comprehensive. …”
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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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The Accuracy of the Passive Leg Raising Test Using the Perfusion Index to Identify Preload Responsiveness—A Single Center Study in a Resource-Limited Setting by Marialessia Casazzo, Luigi Pisani, Rabiul Alam Md Erfan Uddin, Abdus Sattar, Rashed Mirzada, Abu Shahed Mohammad Zahed, Shoman Sarkar, Anupam Barua, Sujat Paul, Mohammad Abul Faiz, Abdullah Abu Sayeed, Stije J. Leopold, Sue J. Lee, Mavuto Mukaka, Mohammed Abul Hassan Chowdhury, Ketsanee Srinamon, Marja Schilstra, Asok Kumar Dutta, Salvatore Grasso, Marcus J. Schultz, Aniruddha Ghose, Arjen Dondorp, Katherine Plewes

“…The test showed high sensitivity and negative predictive value, with comparably lower specificity and positive predictive value. …”
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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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