Fetal Hemoglobin as a Predictive Biomarker for Retinopathy of Prematurity: A Prospective Multicenter Cohort Study in Portugal by Mariza Fevereiro-Martins, Laura Aguiar, Ângela Inácio, Carlos Cardoso, Ana Carolina Santos, Carlos Marques-Neves, Hercília Guimarães, Rui Pinto, Manuel Bicho

“…HbF could serve as a biomarker for ROP prediction. Interventions preserving HbF may reduce ROP risk. …”
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Focal therapy of prostate cancer: Use of artificial intelligence to define tumour volume and predict treatment outcomes by Wayne G. Brisbane, Alan M. Priester, Anissa V. Nguyen, Mark Topoozian, Sakina Mota, Merdie K. Delfin, Samantha Gonzalez, Kyla P. Grunden, Shannon Richardson, Shyam Natarajan, Leonard S. Marks

“…Abstract Objectives The aim of this study is to evaluate new software (Unfold AI) in the estimation of prostate tumour volume (TV) and prediction of focal therapy outcomes. Subjects/patients and methods Subjects were 204 men with prostate cancer (PCa) of grade groups 2–4 (GG ≥ 2), who were enrolled in a trial of partial gland cryoablation (PGA) at UCLA from 2017 to 2022. …”
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Predicting complications of major head and neck oncological surgery: an evaluation of the ACS NSQIP surgical risk calculator by Peter S. Vosler, Mario Orsini, Danny J. Enepekides, Kevin M. Higgins

“…The risk calculator uses a database of information from 585 hospitals to predict a patient’s risk of developing specific postoperative outcomes. …”
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Atmospheric PM2.5 Concentration Prediction Based on Time Series and Interactive Multiple Model Approach by Jihan Li, Xiaoli Li, Kang Wang

“…However, PM2.5 is the main particulate matter in air pollution. Therefore, how to predict PM2.5 accurately and effectively has become a concern of experts and scholars. …”
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Prediction of thermal conductivity in CALF-20 with first-principles accuracy via machine learning interatomic potentials by Soham Mandal, Prabal K. Maiti

“…The outcome of the study, leveraging advanced computational techniques for predictive modeling, offers valuable insights into more suitable applications of CALF-20 with tailored thermal properties.…”
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HPRNA: Predicting synergistic drug combinations for angina pectoris based on human pathway relationship network algorithm. by Mengyao Zhou, Mengfan Xu, Xiangling Zhang, Xiaochun Xing, Yang Li, Guanghui Wang, Guiying Yan

“…Compared to lengthy medical drugs experimental screening, mathematical models and algorithms show great potential in synergistic drug combinations prediction. In this paper, we introduce a novel mathematical algorithm, the Human Pathway Relationship Network Algorithm (HPRNA), which is designed to predict synergistic drug combinations for angina pectoris. …”
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Prevalence and Temporal Distribution of Extrasystoles in Septic ICU Patients: The Feasibility of Predicting Fluid Responsiveness Using Extrasystoles by Johannes Enevoldsen, Cristhian Potes, Minnan Xu-Wilson, Simon T. Vistisen

“…Extrasystoles may be useful for predicting the response to fluid therapy in hemodynamically unstable patients but their prevalence is unknown. …”
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The Mechanical Power in Patients with Acute Respiratory Distress Syndrome Undergoing Prone Positioning Can Predict Mortality by Ko-Wei Chang, Shaw-Woei Leu, Han-Chung Hu, Ming-Cheng Chan, Shinn-Jye Liang, Kuang-Yao Yang, Li-Chung Chiu, Wen-Feng Fang, Chau-Chyun Sheu, Ying-Chun Chien, Chung-Kan Peng, Ching-Tzu Huang, Kuo-Chin Kao

“…Multivariate Cox regression revealed that the change in MP/compliance (HR: 7.972, <i>p</i> < 0.001) was an independent predictive factor for 28-day mortality. <b>Conclusions:</b> In ARDS patients treated with prone positioning, MP/compliance, and change in MP, MP/PBW, and MP/compliance after prone positioning differed significantly between 28-day survivors and nonsurvivors. …”
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What Is My Plaza for? Implementing a Machine Learning Strategy for Public Events Prediction in the Urban Square by Jumana Hamdani, Pablo Antuña Molina, Lucía Leva Fuentes, Hesham Shawqy, Gabriella Rossi, David Andrés León

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Short-Term Traffic Flow Prediction with Weather Conditions: Based on Deep Learning Algorithms and Data Fusion by Yue Hou, Zhiyuan Deng, Hanke Cui

“…Short-term traffic flow prediction is an effective means for intelligent transportation system (ITS) to mitigate traffic congestion. …”
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A Model Predictive Control Strategy for improvement Performance in PV-Battery-Hydrogen DC Islanded Microgrid by Errakkas Khalid, Kissaoui Mohammed, Lajouad Rachid, El Magri Abdelmounime, Atifi Youness, Khayat Ahmed

“…This study introduces a new method for controlling Direct Current (DC) freestanding microgrids using Model Predictive Control (MPC). It focuses on integrating photovoltaic systems, battery storage, and hydrogen energy storage. …”
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Volatile Organic Compounds for the Prediction of Lung Cancer by Using Ensembled Machine Learning Model and Feature Selection by Divya Khanna, Arun Kumar, Shahid Ahmad Bhat

“…In the present study, volatile organic compounds (VOCs) are considered as biomarkers to predict lung cancer. VOCs from seven different sources including breath, blood, urine, cell line, plerual fluid, cancer tissue and lung tissue are targeted to enhance the prediction reliability. …”
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Mortality Predictive Value of APACHE II and SOFA Scores in COVID-19 Patients in the Intensive Care Unit by Mohammad Taghi Beigmohammadi, Laya Amoozadeh, Forough Rezaei Motlagh, Mojgan Rahimi, Maziar Maghsoudloo, Behzad Jafarnejad, Babak Eslami, Mohammad Reza Salehi, Kazem Zendehdel

“…We aimed to evaluate the mortality predictive value of APACHE II and SOFA scores in critically ill COVID-19 patients. …”
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Improving early prediction of crop yield in Spanish olive groves using satellite imagery and machine learning. by M Isabel Ramos, Juan J Cubillas, Ruth M Córdoba, Lidia M Ortega

“…In the production sector, the usefulness of predictive systems as a tool for management and decision-making is well known. …”
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Correction: Human-machine interactions with clinical phrase prediction system, aligning with Zipf's least effort principle? by PLOS One Staff

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Inflammatory Biomarkers and Lipid Parameters May Predict an Increased Risk for Atrial Arrhythmias in Patients with Systemic Sclerosis by Veronika Sebestyén, Dóra Ujvárosy, Balázs Ratku, Hajnalka Lőrincz, Sára Csiha, Dóra Tari, Gyöngyike Majai, Sándor Somodi, Gabriella Szűcs, Mariann Harangi, Zoltán Szabó

“…Background/Objectives: Autoimmune inflammation enhances the electrical instability of the atrial myocardium in patients with systemic sclerosis (SSc); thus, atrial arrhythmia risk is increased, which might be predicted by evaluating the P wave interval and dispersion of a 12-lead surface electrocardiogram (ECG). …”
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Adapting Temperature Predictions to MR Imaging in Treatment Position to Improve Simulation-Guided Hyperthermia for Cervical Cancer by Iva VilasBoas-Ribeiro, Kemal Sumser, Sven Nouwens, Theresa Feddersen, W.P.M.H. Heemels, Gerard C. van Rhoon, Margarethus M. Paulides

“…Hyperthermia treatment planning (HTP) is an important tool to optimize treatment quality using pre-treatment temperature predictions. The accuracy of these predictions depends on modeling uncertainties such as tissue properties and positioning. …”
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Leveraging an Enhanced CodeBERT-Based Model for Multiclass Software Defect Prediction via Defect Classification by Rida Ghafoor Hussain, Kin-Choong Yow, Marco Gori

Subjects: “…Software defect prediction…”
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Clinical utility of smartphone-based digital infrared thermal imaging in predicting vascular compromise in free flaps by Padmalakshmi Bharathi Mohan, S. Dineshkumar, Devi Prasad Mohapatra, Prasanth Penumadu, M.T. Friji, Ravi Kumar Chittoria

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Prediction of the axial compression capacity of ECC-CES columns using adaptive sampling and machine learning techniques by Khaled Megahed

“…Subsequently, seven ML models are utilized to predict the axial compression capacity based on the FE database. …”
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