Deep learning and radiomics for gastric cancer serosal invasion: automated segmentation and multi-machine learning from two centers by Hui Shang, Tao Feng, Dong Han, Fengying Liang, Bin Zhao, Lihang Xu, Zhendong Cao

“…The DLRA model demonstrated superior discriminative capacity relative to other models. A nomogram was constructed based on the logistic clinical model to facilitate the usage and verification of the clinical model. …”
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Prediction of Current and Future Distributions of Chalcophora detrita (Coleoptera: Buprestidae) Under Climate Change Scenarios by Arif Duyar, Muhammed Arif Demir, Mahmut Kabalak

“…An ensemble model was created by using 11 different algorithms (Artificial Neural Network, Classification Tree Analysis, eXtreme Gradient Boosting, Flexible Discriminant Analysis, Generalised Additive Model, Generalised Boosting Model, Generalised Linear Model, Multivariate Adaptive Regression Splines, Maximum Entropy, Random Forest, Surface Range Envelope) to predict the potential suitable habitats of C. detrita. …”
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Longitudinal validation of King's Sarcoidosis Questionnaire in a prospective cohort with mild sarcoidosis by Janne Møller, Thomas Skovhus Prior, Ole Hilberg, Surinder Birring, Elisabeth Bendstrup

“…The KSQ GHS and Lung domains were able to discriminate between groups of patients stratified according to fatigue, treatment and FVC. …”
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Pulmonary Artery and Pulmonic Valve Vegetations in a Young Pregnant Filipino with Patent Ductus Arteriosus by Valerie R. Ramiro, Jezreel L. Taquiso, Stephanie Martha O. Obillos, Charlene F. Agustin, Jose Donato A. Magno, Eric Oliver D. Sison

“…A previous IE is also a risk factor that predisposes to IE recurrence. Discriminating between IE recurrence and a persistence of a vegetation from a previously treated IE can be difficult. …”
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Statistical and graphical (GGE biplot) evaluation of the adaptive ability and stability of winter barley breeding lines by V. N. Gudzenko

“…This graphic model allows ranking environments to be visualized for their discriminating ability and representativeness, as well as both specifically adapted genotypes and the ones with the optimal combination of yield potential and stability to be identified in a set of environments (mega-environment). …”
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Particle composition-based water classification method for estimating chlorophyll-a in coastal waters from OLCI images by Siwen Gao, Chao Zhou, Lingling Jiang, Jingping Xu

“…The ratio of organic particulate matter to total suspended particulate matter concentration (POM/SPM) serves as an optical discriminator of water bodies based on the proportions of organic and mineral particles. …”
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The Role of Agriculture in The Economic Development of Rural Areas: A Case Study of Kamuganguzi Sub-County Kabale District. by Turyatunga, Apollo

“…Considering the huge number of poor discriminated and deprived women in agriculture.…”
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Radiomics-based biomarker for PD-1 status and prognosis analysis in patients with HCC by Gulizaina Hapaer, Feng Che, Qing Xu, Qian Li, Ailin Liang, Zhou Wang, Jituome Ziluo, Xin Zhang, Yi Wei, Yuan Yuan, Bin Song, Bin Song

“…The radiomics model integrated radiomics signature with serum creatine and peritumoral enhancement showed good discriminative performance (AUC of 0.897 and 0.794 in the training and validation cohort). …”
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[18F]FB(ePEG12)12-exendin-4 noninvasive imaging of insulinoma negative for insulin immunostaining on specimen from endoscopic ultrasonography-guided fine needle aspiration: a case... by Daisuke Otani, Takaaki Murakami, Saeko Murakami, Ikuko Hanaoka, Hiroyuki Fujimoto, Yoichi Shimizu, Kanae Kawai Miyake, Kentaro Sakaki, Yohei Ueda, Daisuke Tanaka, Tsuyoshi Ohno, Hironori Shimizu, Naoki Uyama, Norishige Iizuka, Daisuke Yabe, Yuji Nakamoto, Nobuya Inagaki

“…Thus, a noninvasive and clinically practical insulinoma-specific diagnostic tool to discriminate insulinomas with high accuracy is anticipated. …”
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Growth differentiation factor-15 as a biomarker for intensive care unit-acquired weakness: a meta-analysis by Bing-Han Wang, Meng-Ying Qi, Zheng Yang, Gui-Lan He, Si-Ya Meng

“…The sensitivity, specificity, diagnostic odds ratio (DOR), and area under the curve (AUC) for the discriminative performance of GDF-15 as a diagnostic biomarker were 0.82 (95% confidence interval (CI):0.78–0.86), 0.83 (95% CI: 0.61–0.88), 21.39 (95% CI: 13.36–34.24), and 0.88 (95% CI: 0.85–0.91), respectively.ConclusionGDF-15 is a candidate biomarker in diagnosing of ICU-AW from non-ICU-AW.…”
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Flow Cytometry of the Side Population: Tips & Tricks by Irene Sales-Pardo, Ariadna Avendaño, Vanessa Martinez-Muñoz, Marta García-Escarp, Raquel Celis, Phil Whittle, Jordi Barquinero, Joan Carles Domingo, Pedro Marin, Jordi Petriz

“…First, because the ability to discriminate SP cells is based on the differential retention of Ho342 during a functional assay; second, because of the difficulties in setting the right experimental and acquisition conditions; and third, because the analysis of the acquired data requires an extensive expertise on flow cytometry to accurately detect the SP events. …”
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Leveraging AI to improve disease screening among American Indians: insights from the Strong Heart Study by Paul Rogers, Thomas McCall, Ying Zhang, Jessica Reese, Dong Wang, Weida Tong

“…Screening tests for disease have their performance measured through sensitivity and specificity, which inform how well the test can discriminate between those with and without the condition. …”
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Development and validation of a nomogram for predicting venous thromboembolism risk in post-surgery patients with cervical cancer by Yue Chen, Xiaosheng Li, Li Yuan, Yuliang Yuan, Qianjie Xu, Zuhai Hu, Wei Zhang, Haike Lei

“…The model demonstrated robust discriminative power, achieving a C-index of 0.854 (95% CI: 0.799–0.909) in the training cohort and 0.757 (95% CI: 0.657–0.857) in the validation cohort. …”
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Delayed Graft Function in Kidney Transplants: Time Evolution, Role of Acute Rejection, Risk Factors, and Impact on Patient and Graft Outcome by Martin Chaumont, Judith Racapé, Nilufer Broeders, Fadoua El Mountahi, Annick Massart, Thomas Baudoux, Jean-Michel Hougardy, Dimitri Mikhalsky, Anwar Hamade, Alain Le Moine, Daniel Abramowicz, Pierre Vereerstraeten

“…Area under the curve of the ROC curve (0.77 [0.74–0.81]) shows an excellent discriminant power of our model, irrespective of rejection. …”
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Prognostic value of miR-223 for pregnancy outcomes in patients with in vitro fertilisation and intracytoplasmic sperm injection by Qi Song, Jiajia Liu, Chen Li, Rongrong Liu, Nan Zhang, Hongzhi Shi

“…The ROC curve demonstrated the discriminative capability of miR-223 in distinguishing pregnancy and non-pregnancy. …”
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STFCropNet: A Spatiotemporal Fusion Network for Crop Classification in Multiresolution Remote Sensing Images by Wei Wu, Yapeng Liu, Kun Li, Haiping Yang, Liao Yang, Zuohui Chen

“…These unimodal methods often encounter challenges posed by noise interference in real-world scenarios, and may struggle to discriminate between crops with similar spectral signatures, thereby leading to misclassification over extensive areas. …”
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Metagenome-based diversity and functional analysis of culturable microbes in sugarcane by Haidong Lin, Liang Wu, Lijun Zhang, Quang Kiet Ta, Peng Liu, Jinkang Song, Xiping Yang

“…The results revealed significant microbial diversity in sugarcane’s tissues and rhizosphere soil, including several important biomarker bacterial taxa identified, which are reported to engage in several processes that support plant growth, such as nitrogen fixation, phosphate solubilization, and the production of plant hormones. The Linear discriminant analysis Effect Size (LEfSe) studies identified unique microbial communities in different parts of the same sugarcane species, particularly Burkholderia, which exhibited significant variations across the sugarcane species. …”
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Deep learning on CT scans to predict checkpoint inhibitor treatment outcomes in advanced melanoma by Laurens S. Ter Maat, Rob A. J. De Mooij, Isabella A. J. Van Duin, Joost J. C. Verhoeff, Sjoerd G. Elias, Tim Leiner, Wouter A. C. van Amsterdam, Max F. Troenokarso, Eran R. A. N. Arntz, Franchette W. P. J. Van den Berkmortel, Marye J. Boers-Sonderen, Martijn F. Boomsma, Fons J. M. Van den Eertwegh, Jan Willem de Groot, Geke A. P. Hospers, Djura Piersma, Art Vreugdenhil, Hans M. Westgeest, Ellen Kapiteijn, Ardine A. De Wit, Willeke A. M. Blokx, Paul J. Van Diest, Pim A. De Jong, Josien P. W. Pluim, Karijn P. M. Suijkerbuijk, Mitko Veta

“…The DLM reached a statistically significant discriminative value, but was unable to improve over known clinical predictors. …”
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The Characteristics of Sex Differentiation Based on Morphological Traits During the Early Development Stage of the Swimming Crab <i>Portunus trituberculatus</i> and Sex Prediction... by Yanqing Peng, Junkai Lu, Ronghua Li, Chendong Xu, Shangbiao Zheng, Zhiming Ren, Chuan He, Changkao Mu, Weiwei Song, Chunlin Wang

“…Three methods were used to predict the sex of the crablets according to the morphological measurements; among them, the multinomial logistic regression (MLR) model performed better than the threshold method or the stepwise discriminant analysis, and the accuracy at stage C V increased to 90% when detailed abdominal parameters were included. …”
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Space Weather Forecasts of Ground Level Space Weather in the UK: Evaluating Performance and Limitations by A. W. Smith, I. J. Rae, C. Forsyth, J. C. Coxon, M.‐T. Walach, C. J. Lao, D. S. Bloomfield, S. A. Reddy, M. K. Coughlan, A. Keesee, S. Bentley

“…We evaluate its performance (discriminative skill and calibration) as a function of magnetospheric state, solar wind input and magnetic local time. …”
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