37例以孤立性头昏为表现的病毒性脑炎特点和误诊分析 by 周香雪, 钟威, 许少华

“…收集患者临床资料如眩晕障碍量表（ DHI）评分、头部影像学、脑电图、前庭功能检查、脑脊液常规、生化、细胞形态学、病原学二代测序、误诊情况等。分析各类检查对患者诊断价值的ROC曲线下面积（AUC）。对比治疗前后各检查的变化情况。结果89.19%（33/37）患者的初步诊断存在误诊。…”
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Influence of volatiles (H$_{2}$O and CO$_{2}$) on shoshonite phase equilibria by Vetere, Francesco, Namur, Olivier, Holtz, Francois, Almeev, Renat, Donato, Paola, Frondini, Francesco, Cassetta, Michele, Pisello, Alessandro, Perugini, Diego

“…Experiments were performed at 500 MPa, 1080 °C and water activities (aH$_{2}$O) from 0.0 to 1.0, in fluid-present and fluid-absent conditions, with the aim of constraining the effect of volatiles on phase equilibrium assemblages of a shoshonite from Vulcanello (Aeolian Islands, Italy). …”
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Intestinal microbiota as biomarkers for different colorectal lesions based on colorectal cancer screening participants in community by Gairui Li, Gairui Li, Dan Zhao, Binfa Ouyang, Yinggang Chen, Yashuang Zhao

“…Specifically, the 55 bacterial genera combination model exhibited superior performance in differentiating CRC from Nor (AUC 0.98; 95% CI, 0.96-1), the 25 bacterial genera combination showed superior performance in distinguishing Aade from Nor (AUC 0.95). …”
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Classification of schizophrenia, bipolar disorder and major depressive disorder with comorbid traits and deep learning algorithms by Xiangning Chen, Yimei Lu, Joan Manuel Cue, Mira V. Han, Vishwajit L. Nimgaonkar, Daniel R. Weinberger, Shizhong Han, Zhongming Zhao, Jingchun Chen

“…Importantly, without inclusion of PRSs from targeted disorders, we can still classify SCZ (accuracy 0.710 ± 0.008, AUC 0.789 ± 0.011), BIP (accuracy 0.782 ± 0.006, AUC 0.852 ± 0.004), and MDD (accuracy 0.753 ± 0.019, AUC 0.822 ± 0.010). …”
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Relative Fat Mass, A Better Predictor of Erectile Dysfunction: Insights From the NHANES 2001–2004 by BoWen Yang, HanYu Wang, Luyi Tang, JiuHuan Feng, ShuFang Hou

“…In addition, RFM demonstrated superior predictive capability for ED (AUC = 0.644) compared with BMI (AUC = 0.525) and WC (AUC = 0.612). …”
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Diagnosis of oral cancer using deep learning algorithms by Mayra Alejandra Dávila Olivos, Henry Miguel Herrera Del Águila, Félix Melchor Santos López

“…The diagnostic performance of the proposed CNN was evaluated by calculating accuracy, precision, recall, F1 score, and area under the curve (AUC) for oral cancer. The CNN achieved an overall diagnostic accuracy of 90.9% and an AUC of 0.91 with the dataset for oral cancer. …”
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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

“…Additionally, the osteoporosis group presented substantially higher levels of ApoA1, FFAs, and IL-6 than the osteopenia group. (4) IL-6 was positively correlated with FFAs, while a negative correlation was observed with TC, ApoA1, ApoB, HDL-C, and LDL-C. (5) The ROC curve revealed that the areas under the curve (AUCs) of TC, FFAs, IL-6, ApoA1, and the ApoA1/ApoB ratio for predicting osteoporosis or osteopenia were 0.634, 0.713, 0.670, 0.628, and 0.516, respectively, whereas the AUC of the combination of TC, FFAs, IL-6, and ApoA1 was 0.846, and the AUC of the combination of TC, FFAs, IL-6, and the ApoA1/ApoB ratio was 0.842. …”
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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 internal performances of the XGBoost models (AUC scores range from 84% to 97%) were superior to ML models reported in the literature for some of these datasets (AUC scores range from 84% to 87%). …”
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Multi-omics analysis reveals the sensitivity of immunotherapy for unresectable non-small cell lung cancer by Rui Wu, Kunchen Wei, Xingshuai Huang, Yinge Zhou, Xiao Feng, Xin Dong, Hao Tang

“…The AUC of metabolomics prediction model was 0.977 and the AUC of proteomics was 0.875 while the AUC of the integrative-omics prediction model was 0.955.ConclusionsMetabolic and protein biomarkers in peripheral blood both have high efficacy and reliability in the prediction of immunotherapy sensitivity in unresectable stage III and IV non-small cell lung cancer, but validation in larger population-based cohorts is still needed.…”
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A remarkable and durable response to tislelizumab treatment of an anaplastic thyroid carcinoma without targetable genomic alterations: a case report by Jingjing Chai, Jiaqi Lv, Jian Xiong, Xiuwen Chen, Senyuan Luo, Zhiguo Luo, Zhiguo Luo, Ming Luo

“…Anaplastic thyroid carcinoma (ATC) is a rare and highly aggressive malignancy characterized by a poor prognosis, with a median survival time of approximately 3 to 4 months. …”
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The emerging role of blood-based biomarkers in early detection of colorectal cancer: A systematic review by Faris Shweikeh, Yuhao Zeng, Abdur Rahman Jabir, Erica Whittenberger, Saurav P. Kadatane, Yuting Huang, Mohamad Mouchli, Dani Ran Castillo

“…The comprehensive search strategy centered on sensitivity, specificity, and AUC-ROC of multiple types of molecular blood biomarkers. …”
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Combined morphology and radiomics of intravoxel incoherent movement as a predictive model for the pathologic complete response before neoadjuvant chemotherapy in patients with brea... by Yunyan Zheng, Hui Zhang, Huijian Chen, Yang Song, Ping Lu, Mingping Ma, Mengbo Lin, Muzhen He

“…Conversely, the morphology model exhibited an AUC of 0.721 and 0.795 for the training and testing cohorts, respectively. …”
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Corneal biomechanics: A diagnostic tool for differentiating high astigmatism and mild keratoconus by Norsyariza Razak, Wan Haslina Wan Abdul Halim, Bariah Mohd-Ali

“…The AUC for the Belin / Ambrósio enhanced ectasia deviation index (BAD-D) was 0.993, while the tomographical and biomechanical index (TBI) achieved an AUC of 0.99. …”
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Exploration of different quantitative polymerase chain reaction-based genotyping methods to distinguish Apcmin/+ mice from wildtype mice. by Yuting Sun, Tingyu Zhou, Silin Ye, Effie Yin Tung Lau, Yao Zeng, Jessie Qiaoyi Liang

“…Apcmin/+ mice, which harbour a germline Apc mutation (g.2549T>A) associated with multiple intestinal neoplasms, are extensively employed in colorectal cancer research. …”
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Using Deep Learning to Identify High-Risk Patients with Heart Failure with Reduced Ejection Fraction by Zhibo Wang, Xin Chen, Xi Tan, Lingfeng Yang, Kartik Kannapur, Justin L. Vincent, Garin N. Kessler, Boshu Ru, Mei Yang

“…An AUC of 0.861 was attained for prediction of 90-day readmission in patients aged 18-64. …”
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Vertical and horizontal bone loss following alveolar socket preservation using bone grafts and autologous platelet concentrates vs bone grafts alone: a systematic review and meta-analysis by Shivang Davda, Rawand Shado, Ines Novo Pereira, David Madruga, Haidar Hassan

“…Aims To compare the combined use of APCs and bone grafts in socket preservation, with the use of bone grafts alone. …”
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Validation of a paediatric sepsis screening tool to identify children with sepsis in the emergency department: a statewide prospective cohort study in Queensland, Australia by Paula Lister, Kristen Gibbons, Luregn J Schlapbach, Adam Irwin, Michael Rice, Sainath Raman, Amanda Harley, Patricia Gilholm

“…Sensitivity analyses using the outcomes of sepsis-associated organ dysfunction (AUC 0.84, 95% CI 0.81 to 0.87) and septic shock (AUC 0.84, 95% CI 0.81 to 0.88) confirmed the main results.Conclusions A simplified paediatric sepsis screening tool performed well to identify children with sepsis in the ED. …”
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CCi Mainstreaming and RHD Jams Outcomes Report by Morrison Kate

“…The ARC Centre of Excellence in Creative Industries and Innovation (CCi) commissioned two jams –online collaborative events – to discover new ideas for improving outcomes in two important aspects of the Centre’s work.…”
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Optimal Embryo Selection: The Irreplaceable Role of the Embryologist in an Age of Advancing Technology by Lauren Kendall Rauchfuss, Yulian Zhao, David Walker, Terri Galantis, Jolene Fredrickson, Kathrynne Barud, Chandra Shenoy

“…Contrarily, on day 5, the morphokinetic model had a higher AUC of 0.65 (P = 0.03) compared to the morphologic grading, AUC 0.56 (P = 0.02). …”
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Comparison of the Frontal Plane Projection Angle and the Dynamic Valgus Index to Identify Movement Dysfunction in Females with Patellofemoral Pain by Lori A Bolgla, Haley N Gibson, Daniel C Hannah, Tiana Curry-McCoy

“…Paired-sample area difference under the ROC curves showed a similar (*p* = 0.10) AUC for the knee FPPA and DVI. …”
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