NOTIFICATION: Development of a Novel Approach for Breast Cancer Prediction and Early Detection Using Minimally Invasive Procedures and Molecular Analysis: How Cytomorphology Became a Breast Cancer Risk Predictor by The Breast Journal

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LIPS and PaO2/FiO2 Combined Plasma Biomarkers Predict Onset of Acute Respiratory Distress Syndrome in Patients of High Risks in SICU: A Prospective Exploratory Study by Ziyuan Shen, Zhongnan Yin, Senhao Wei, Zhukai Cong, Feng Zhao, Hua Zhang, Xi Zhu

“…To explore and validate the value of clinical parameters combined with plasma biomarkers for predicting acute respiratory distress syndrome (ARDS) in patients of high risks in the surgical intensive care unit (SICU). …”
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Development of a novel predictive model for a successful stone removal after flexible ureteroscopic lithotripsy based on ipsilateral renal function: a single-centre, retrospective cohort study in China by Hong Li, Liang Zhou, Xi Jin, Yucheng Ma, Zhongyu Jian, Liyuan Xiang, Deyi Luo, Kun-Jie Wang

“…A novel nomogram for predicting SFR that uses stone volume, lower calyx stones, age, body mass index and estimated glomerular filtration rate was developed, but remains to be externally validated.…”
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Prediction of Lard in Palm Olein Oil Using Simple Linear Regression (SLR), Multiple Linear Regression (MLR), and Partial Least Squares Regression (PLSR) Based on Fourier-Transform Infrared (FTIR) by Siong Fong Sim, Min Xuan Laura Chai, Amelia Laccy Jeffrey Kimura

“…The bands at 3006 and 1117 cm−1 were found with satisfactory predictive ability, with PLSR demonstrating better prediction yielding %RMSE of 16.03 and 13.26%, respectively.…”
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Performance of HPV E4 and p16INK4a biomarkers in predicting regression of cervical intraepithelial neoplasia grade 2 (CIN2): protocol for a historical cohort study by David Jenkins, Mark H Stoler, Anne Hammer, Torben Steiniche, Lone Kjeld Petersen, Patti E Gravitt, Rikke Kamp Damgaard, Maurits NC de Koning, Wim GV Quint, John Doorbar, Johnny Kahlert

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Application of Nighttime Light Data Simulation Based on Multi-Indicator System and Machine Learning Model in Predicting Potentially Suitable Economic Development Areas: A Case Study of the Turpan–Hami Region by Guangpeng Zhang, Li Zhang, Yiyang Chen, Meng Chen, Jingjing Tian, Yin Wu

“…Four tree-based ensemble learning models—Random Forest (RF), Extreme Gradient Boosting (XGBoost), Light Gradient Boosting Machine (LightGBM), and Categorical Boosting (CatBoost)—were employed to predict potential urban economic development suitability zones and their suitability intensity. …”
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Application of artificial intelligence brain structure-based paradigm to predict the slip condition impact on magnetized thermal Casson viscoplastic fluid model under combined temperature dependent viscosity and thermal conductivity by Umar Farooq, Shan Ali Khan, Haihu Liu, Muhammad Imran, Lotfi Ben Said, Aleena Ramzan, Taseer Muhammad

“…The low MSE indicates that the model is fit to predict with good accuracy, but the minimal absolute error close to zero proves the prediction accuracy of the developed approach at its best.…”
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Kidney Injury Molecule-1 (KIM-1), Neutrophil Gelatinase-Associated Lipocalin (NGAL), and CRP: a potential biomarker for early prediction of Acute Kidney Injury (AKI) in pediatric male patients by Halah Riyadh Hasan, Abeer Cheaid Yousif Al-Fatlawi, Qahtan Mohammed Al-Obaidy

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Parametric and Nonparametric Approaches of Reid Vapor Pressure Prediction for Gasoline Containing Oxygenates: A Comparative Analysis Using Partial Least Squares, Nonlinear, and LOWESS Regression Modelling Strategies with Physical Properties by Hayder M. Issa

“…This study provides insights into the challenges involved in predicting the Reid vapor pressure (RVP) of gasoline-oxygenate blends (GOB), which is an important indicator of fuel quality and compliance with environmental and performance standards. …”
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Assessment of rainfed wheat productivity in a changing climate in Irbid, Jordan using statistical downscaling and Random Forest Regression prediction under RCP4.5 & 8.5 pathways by Tasnim Dheif Allah Althalaj, Fayha Muhammed Al-Shibli, Amani Abdullah Alassaf

“…Future wheat yields were predicted using the Random Forest Regression model. …”
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HPLC-MS standardization and validation methods for determination of calactin content in dichloromethane fraction of Calotropis gigantea (L.) Dryand. (Niu jiao gua) stem bark and its application in prediction of anticancer activities by Naphat Kaewpaeng, Sudaporn Wongwan, Khemmachat Pansooksan, Chanakan Chailom, Pattaraporn Chaisupasakul, Dumrongsak Pekthong, Nitra Nuengchamnong, Zhi-Hong Jiang, Li-Ping Bai, Piyarat Srisawang, Supawadee Parhira

“…In summary, the established HPLC-ESI-MS method is suitable for both quality control and predicting of CGD anticancer activities for further utilization.…”
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Several factors that predict the outcome of large B‐cell lymphoma patients who relapse/progress after chimeric antigen receptor (CAR) T‐cell therapy can be identified before cell administration by Alice Sýkorová, František Folber, Kamila Polgárová, Heidi Móciková, Juraj Ďuraš, Kateřina Steinerová, Aleš Obr, Adriana Heindorfer, Miriam Ladická, Ľubica Lukáčová, Erika Čellárová, Ivana Plameňová, David Belada, Andrea Janíková, Marek Trněný, Tereza Jančárková, Vít Procházka, Andrej Vranovský, Margaréta Králiková, Jan Vydra, Lukáš Smolej, Ľuboš Drgoňa, Martin Sedmina, Eva Čermáková, Robert Pytlík

“…The median follow‐up of surviving patients in whom treatment failed was 10.6 months. Several factors predicting further treatment administration and outcomes were present even before CAR‐Tx. …”
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Stress hyperglycemia ratio as an important predictive indicator for severe disturbance of consciousness and all-cause mortality in critically ill patients with cerebral infarction: a retrospective study using the MIMIC-IV database by Xiaosheng Li, Li Guo, Yuzhen Zhou, Churan Yuan, Yong Yin

“…This study seeks to assess the predictive potential of SHR for severe DC and mortality among patients with cerebral infarction. …”
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Online tools to predict individualised survival for primary oesophageal cancer patients with and without pathological complete response after neoadjuvant therapy followed by oesophagectomy: development and external validation of two independent nomograms by Jie Zhang, Xiang Chen, Dong Dong, Lijie Tan, Yajie Zhang, Hecheng Li, Yuqin Cao, Binhao Huang, Han Tang, Tianzheng Shen, Xijia Feng, Jiahao Zhang, Liqiang Shi, Chengqiang Li, Heng Jiao

“…The calibration plot, concordance index and decision curve analysis were employed to assess calibration, discrimination and clinical usefulness of the predictive models.Results In total, 13 and 15 variables were used to predict OS for pCR and non-pCR patients undergoing neoadjuvant therapy followed by oesophagectomy, respectively. …”
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Prediction of mortality and prioritisation to tertiary care using the 'OUR-ARCad' risk score gleaned from the second wave of COVID-19 pandemic-A retrospective cohort study from South India. by Narendran Gopalan, Vinod Kumar Viswanathan, Vignes Anand Srinivasalu, Saranya Arumugam, Adhin Bhaskar, Tamizhselvan Manoharan, Santosh Kishor Chandrasekar, Divya Bujagaruban, Ramya Arumugham, Gopi Jagadeeswaran, Saravanan Madurai Pandian, Arunalatha Ponniah, Thirumaran Senguttuvan, Ponnuraja Chinnaiyan, Baskaran Dhanraj, Vineet Kumar Chadha, Balaji Purushotham, Manoj Vasanth Murhekar

“…<h4>Methods</h4>De-identified data of COVID-19 confirmed patients admitted to a tertiary care hospital in South India, between April 1, 2021 and July 31, 2021, corresponding to the peak of COVID-19 second wave, were analysed after segregating into 'survivors' or 'non-survivors' to evaluate the risk factors for COVID-19 mortality at admission and formulate a risk score with easily obtainable but clinically relevant parameters for accurate patient triaging. The predictive ability was ascertained by the area under the receiver operator characteristics (AUROC) and the goodness of fit by the Hosmer-Lemeshow test and validated using the bootstrap method.…”
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Publisher Correction: HER2-related biomarkers predict clinical outcomes with trastuzumab deruxtecan treatment in patients with HER2-expressing metastatic colorectal cancer: biomarker analyses of DESTINY-CRC01 by Salvatore Siena, Kanwal Raghav, Toshiki Masuishi, Kensei Yamaguchi, Tomohiro Nishina, Elena Elez, Javier Rodriguez, Ian Chau, Maria Di Bartolomeo, Hisato Kawakami, Fumitaka Suto, Makito Koga, Koichiro Inaki, Yusuke Kuwahara, Issey Takehara, Daniel Barrios, Kojiro Kobayashi, Axel Grothey, Takayuki Yoshino

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Comparison of robotic-assisted and laparoscopic partial nephrectomy based on the PADUA score and the predictive value of the PADUA score and the Mayo Adhesive Probability score for postoperative complications: a single-center retrospective study by Shuo Liu, Bowen Zhang, Bowen Weng, Xiangqiang Liu, Sichuan Hou

“…The PADUA and MAP scores are valuable in predicting postoperative complication. Trial registration number and date of registration Retrospectively registered.…”
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Predicting independent walking ability using the Simplified Stroke Rehabilitation Assessment of Movement, Berg Balance Scale, and Barthel Index for Activities of Daily Living in individuals post-stroke: an observational preliminary study by Mykola Romanyshyn

“…Introduction The purpose of this study was to determine cut scores to predict independent ambulation for the Simplified Stroke Rehabilitation Assessment of Movement (S-STREAM), Berg Balance Scale (BBS), Barthel Index (BI) for Activities of Daily Living for patients with time after stroke up to 1 year. …”
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Selected Topics in Management and Modeling of Complex Systems: Editorial Introduction to Issue 27 of CSIMQ by Peter Forbrig, Kurt Sandkuhl

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Multi-Scale Building Load Forecasting Without Relying on Weather Forecast Data: A Temporal Convolutional Network, Long Short-Term Memory Network, and Self-Attention Mechanism Appro... by Lanqian Yang, Jinmin Guo, Huili Tian, Min Liu, Chang Huang, Yang Cai

Subjects: “…building load prediction…”
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