Development and external validation of a nomogram for the early prediction of acute kidney injury in septic patients: a multicenter retrospective clinical study by Qin-Yue Su, Wen-Jie Chen, Yan-Jun Zheng, Wen Shi, Fang-Chen Gong, Shun-Wei Huang, Zhi-tao Yang, Hong-Ping Qu, En-Qiang Mao, Rui-Lan Wang, Du-Ming Zhu, Gang Zhao, Wei Chen, Sheng Wang, Qian Wang, Chang-Qing Zhu, Gao Yuan, Er-Zhen Chen, Ying Chen

“…Methods In our study, we retrospectively constructed a development cohort comprising 733 septic patients admitted to eight Grade-A tertiary hospitals in Shanghai from January 2021 to October 2022. …”
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Development of a risk model for predicting cervical lymph node metastasis in major salivary gland carcinomas utilizing clinicopathological and ultrasound features by Huan-Zhong Su, Ji-Chao Lin, Long-Cheng Hong, Yu-Hui Wu, Feng Zhang, Kun Yu, Xiao-Dong Zhang, Zuo-Bing Zhang

“…Conclusions The nomogram model we developed holds the potential to predict CLNM in MSGCs preoperatively, thereby enabling the provision of more precise therapeutic strategies.…”
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Development of Smart Apps Creator-Based Interactive Learning Media to Support 21st Century Skills in Pancasila Education for Elementary Schools by Aisyah Anggraeni, Yeni Erita, Desri Nora, Ulfia Rahmi

“…This study employed a Research and Development (R&D) method using the ADDIE development model, which consists of five stages: analysis, design, development, implementation, and evaluation. …”
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Development of technologies and tools for drilling additional wells from artificial bottom-hole with whipstock of continuous action in hard and very hard rocks by V. V. Neskoromnykh, D. V. Lysacov

“…Since the rate of drilling an artificial bottom hole is difficult to regulate using the drilling mode parameters, it is necessary to develop technical solutions that would limit the rate of deepening a new direction of the wellbore.…”
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Pan-cancer predictive survival model development and evaluation using electronic health record and genetic data across 10 cancer types by Jurgita Gammall, Alvina G. Lai

“…The aim of this study is to develop and evaluate prognostic cancer survival models across ten common cancer types based on a large patient sample. …”
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[225Ac]Ac-PSMA-617 production method: development of an efficient and reproducible radiolabelling process for establish a clinical routine production by Michela Aurilio, Aureliana Esposito, Monica Buonanno, Anna Morisco, Costantina Maisto, Stefania Scala, Secondo Lastoria

“…On this basis, the aim of this study is to develop an [225Ac]Ac-PSMA 617 production method, to assess the efficiency and reliability of the radiosynthesis as a support for establish a clinical routine production for metastatic castration resistant prostate cancer treatment. …”
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A Comparison of the 2022 Versus 2011 National Institute of Child Health and Human Development Web-Based Risk Estimator for Bronchopulmonary Dysplasia by Mitchell Kinkor, MD, Jake Schneider, MS, Farhath Sulthana, MD, Janelle Noel-Macdonnell, PhD, Alain Cuna, MD

“…Objective: To compare the predictive accuracy of the 2022 vs 2011 National Institute of Child Health and Human Development estimator for identifying infants at high risk for bronchopulmonary dysplasia (BPD). …”
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Development of a Technique for Chromatographic Analysis of Excipients in a Liposomal Dosage Form of a Photosensitizer Tetra-3-phenylthio-phthalocyanine Hydroxyaluminium by S. V. Antonova, S. V. Kolyachkina, A. V. Lantsova, L. L. Nikolaeva, E. V. Sanarova

“…The Laboratory of Drug Formulation Development at the N. N. National Medical Research Center of Oncology developed a liposomal dosage form of FS tetra-3-phenylthio-pthalocyanine hydroxyluminide (TPHA) for which a simple, accurate and easily reproducible method of quantitative determination of the main active substance and excipients in the drug product was needed. …”
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Development and External Validation of Machine Learning-Based Models for Predicting Lung Metastasis in Kidney Cancer: A Large Population-Based Study by Xinglin Yi, Yuhan Zhang, Juan Cai, Yu Hu, Kai Wen, Pan Xie, Na Yin, Xiangdong Zhou, Hu Luo

“…A total of 52,714 eligible patients diagnosed with KC were enrolled, of whom 2,618 developed LM. Variables of age, sex, race, T stage, N stage, tumor size, histology, and grade were identified as important for the prediction of LM. …”
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Development of a longlist of healthcare quality indicators for physical activity of patients during hospital stay: a modified RAND Delphi study by Philip J van der Wees, Niek Koenders, Stein van den Heuvel, Shanna Bloemen, Thomas J Hoogeboom

“…Seven domains were identified: ‘Policy’, ‘Attitude and education’, ‘Equipment and support’, ‘Evaluation’, ‘Information’, ‘Patient-tailored physical activity plan’ and ‘Outcome measure’.Conclusion and implications The healthcare quality indicators developed in this study could help to grade, monitor and improve healthcare for hospitalised adults of all ages with (or at risk of) low physical activity during the hospital stay. …”
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Development of the index of idiopathic lobular panniculitis activity on the basis of the clinical and laboratory characteristics of a series of clinical observations (the authors'... by O. N. Egorova, B. S. Belov, S. I. Glukhova, S. G. Radenska-Lopovok

“…To assess the nature of the disease and to solve therapy problems, there is a need to clarify and grade disease activity, which is the basis for this investigation. …”
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Explainable machine learning model for predicting internal mammary node metastasis in breast cancer: Multi-method development and cross-cohort validation by Yirong Xiang, Jian Tie, Siyuan Zhang, Chen Shi, Changkuo Guo, Yushuo Peng, Zhaoqing Fan, Weihu Wang

“…Background: This study developed an explainable machine learning model for baseline internal mammary lymph node metastasis (IMNM) in breast cancer patients. …”
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Risk factors of breast cancer patients developing multiple primary cancers: a retrospective study and establishing/testing of machine learning models by Yudi Jin, Tong Su, Yanjia Fan, Yineng Zheng, Cheng Tian, Zubin Ouyang, Fajin Lv

“…Abstract Background Breast cancer is a prevalent malignancy globally, with approximately 1 in 10 breast cancer patients at risk of developing additional primary malignant tumors. This study seeks to explore the risk factors linked to the development of multiple primary cancers (MPCs) in breast cancer patients and to develop predictive models to aid in clinical decision-making. …”
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Multicenter development of a deep learning radiomics and dosiomics nomogram to predict radiation pneumonia risk in non-small cell lung cancer by Xun Wang, Aiping Zhang, Huipeng Yang, Guqing Zhang, Junli Ma, Shucheng Ye, Shuang Ge

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Early Identification of Cognitive Impairment in Community Environments Through Modeling Subtle Inconsistencies in Questionnaire Responses: Machine Learning Model Development and Va... by Hongxin Gao, Stefan Schneider, Raymond Hernandez, Jenny Harris, Danny Maupin, Doerte U Junghaenel, Arie Kapteyn, Arthur Stone, Elizabeth Zelinski, Erik Meijer, Pey-Jiuan Lee, Bart Orriens, Haomiao Jin

“…Predictors included low-quality response indices generated using the graded response model from four brief questionnaires (optimism, hopelessness, purpose in life, and life satisfaction) assessing aspects of overall well-being, a focus of health professionals in communities. …”
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Taxane combination chemotherapy in breast cancer: Experience from a tertiary cancer centre in India by Jyoti Bajpai, Deepa Susan, Vijay Patil, Reena Nair, Jaya Ghosh, R A Badwe, Sudeep Gupta

“…There were 43 (32%) cases of febrile neutropenia and 2 (1.5%) Grade III thrombocytopenia with 3 (2%) toxic deaths. …”
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Comparison of prophylactic topical application of Cryptomphalus aspersa secretion versus betamethasone for telecobalt radiation-induced skin reactions in locally advanced head and... by Ramashish Kumar, Ashok Chauhan, Sovan Sarang Dhar, Nitish Kumar

“…There were no Grade 3 skin reactions in the Study Group. The difference in the development of skin reactions observed was statistically significant at 6th week, at completion of treatment as well as at the 1st month of follow-up (grade-1) between the two groups (P<0.001). …”
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Application of Artificial Intelligence using K-Means for Programming Question Assessment by Waliyyudin Waliyyudin, Ichsan Ibrahim

“…Observational studies of course instructors reveal that over 40% have made grading mistakes, often due to fatigue or inconsistent evaluation standards. …”
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Educational outcomes: Pathways and performance in South African high schools by Vijay Reddy, Servaas van der Berg, Dean Janse van Rensburg, Stephen Taylor

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Linguistic complexity in high-school students’ EFL writing by Amer Delić, Alma Jahić Jašić

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