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Academic Articles & Research Papers
Showing 20 of 202 academic articles
Shi-Long Jiang, Shi-Long Jiang, Zhi-Bin Wang, Zhi-Bin Wang et al. • Frontiers in Pharmacology
(2021)
Vemurafenib, a BRAF V600E inhibitor, provides therapeutic benefits for patients with melanoma, but the frequent emergence of drug resistance remains a challenge. An understanding of the mechanisms underlying vemurafenib resistance may gener...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fphar.2021.720619
Ruxandra-Cristina Marin, Horia Păunescu, Călin Muntean, Daniel Vasile Balaban et al. • Diagnostics
(2026)
Background/Objectives: Liver cirrhosis (LC) is a major cause of morbidity and mortality requiring continuous monitoring and early recognition of clinical deterioration. Home telemonitoring is increasingly considered a supportive strategy fo...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/diagnostics16162635
Jamieson D Gray, Lukasz S Wylezinski, Charles F Spurlock • BMJ Health & Care Informatics
(2026)
Objectives To develop and evaluate a machine learning (ML) model that predicts Crohn’s disease (CD) patients responsible for the top quartile of healthcare spending.Methods De-identified commercial claims (2016–2018) from ~267 000 continuou...
DOAJ
Open Access (DOAJ)
DOI: 10.1136/bmjhci-2025-101761
Saeed Shakibfar, Morten Andersen, Maurizio Sessa • iScience
(2023)
Summary: Community-acquired pneumonia (CAP) is an acute infection involving the parenchyma of the lungs, which is acquired outside of the hospital. Population-wide real-world data and artificial intelligence (AI) were used to develop a dise...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.isci.2023.107027
Fabian Yap, Daniel Chan, Mei Chien Chua, Matthew Hadimaja et al. • BMJ Health & Care Informatics
(2025)
Background Monitoring early childhood growth is vital, as growth faltering could indicate nutritional or health issues requiring prompt intervention. Our study’s aim was to assess the performance of a length-weight artificial intelligence (...
DOAJ
Open Access (DOAJ)
DOI: 10.1136/bmjhci-2025-101540
Wenchuan Zhang, Shuwan Zhang, Fengling Li, Yuanyuan Zhao et al. • npj Digital Medicine
(2026)
Abstract Deep learning is capable of efficiently predicting the therapeutic efficacy of neoadjuvant chemotherapy (NAC) in breast cancer. However, current methods predominantly rely on convolutional neural networks or transformer architectur...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41746-026-02849-2
Ye Kuang, Yan Yu, Jing Li, Chuanmei Peng et al. • BMC Medical Informatics and Decision Making
(2026)
Abstract Background Diabetes mellitus (DM) combined with coronary heart disease (CHD) significantly increases the risk of cardiovascular events with a greater mortality rate. Therefore, establishing a predictive model can help DM patients r...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s12911-026-03461-w
Vera Russmann, Matthias Brendel, Erik Mille, Angela Helm-Vicidomini et al. • NeuroImage: Clinical
(2017)
Excessive activation of inflammatory signaling pathways seems to be a hallmark of epileptogenesis. Positron emission tomography (PET) allows in vivo detection of brain inflammation with spatial information and opportunities for longitudinal...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.nicl.2017.04.003
Robinson Spencer, Fadi Thabtah, Neda Abdelhamid, Michael Thompson • Digital Health
(2020)
Machine learning has been used successfully to improve the accuracy of computer-aided diagnosis systems. This paper experimentally assesses the performance of models derived by machine learning techniques by using relevant features chosen b...
DOAJ
Open Access (DOAJ)
DOI: 10.1177/2055207620914777
Alireza Kasaie, Suchithra Rajendran • Healthcare Analytics
(2023)
This study addresses patient unpunctuality, a major concern affecting patient waiting time, resource utilization, and quality of care. We develop and compare four machine learning models, including multinomial logistic regression, decision ...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.health.2023.100242
Mohey Eldeen H. H. Ali, Ahmed F. Tayel, Hossam M. Ezzat, Hesham A. Elkaranshawy • Alexandria Engineering Journal
(2025)
Energy plays a crucial role in national development, influencing critical sectors such as industry, agriculture, healthcare, and education. Accurate energy consumption prediction is essential for efficient energy management, helping prevent...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.aej.2025.04.037
Hussein Sabit, Shaimaa Nazir, Shimaa Abdel-Ghany, Osama A. Said et al. • Asian Pacific Journal of Cancer Biology
(2019)
Being the most common cause of female deaths worldwide, breast cancer (BC) is intensively studied over the last two decades. In the present investigation, we evaluated the promoter methylation of three cancer-related genes; PARP-1, p21, and...
DOAJ
Open Access (DOAJ)
DOI: 10.31557/apjcb.2019.4.1.1-5
Wei Liu, Yan Xu, Yi Wang, Lugui Qiu et al. • Journal for ImmunoTherapy of Cancer
(2024)
Background Over 50% of patients with relapsed or refractory large B-cell lymphoma (r/r LBCL) receiving CD19-targeted chimeric antigen receptor (CAR19) T-cell therapy fail to achieve durable remission. Early identification of relapse or prog...
DOAJ
Open Access (DOAJ)
DOI: 10.1136/jitc-2023-008450
J. Craig Barker (2000)
The disciplines of international law and international relations are inextricably linked. Both are concerned with the activities of states and with predicting how states behave and on what basis.For the international lawyer, however, the ke...
OPENALEX
DOI: https://doi.org/10.5040/9781350933910
Krimsi Budi Sienatra, Metta Padmalia • Jurnal Ilmiah Bisnis dan Ekonomi Asia
(2018)
This study aims to look at the early stages of the birth of a business or at the stage of conception and preparation. Specifically, the purpose of this study is to develop and test empirically the determinants of entrepreneurial intentions ...
DOAJ
Open Access (DOAJ)
DOI: 10.32812/jibeka.v12i1.12
Kei Ito, Akira Endo, Hiromasa Hoshi, Koji Ito et al. • Annals of Gastroenterological Surgery
(2026)
ABSTRACT Background Although surgical treatment is the primary measure for patients with perforated peptic ulcer (PPU), nonoperative management (NOM) has become a common alternative. However, risk score models predicting the success of NOM ...
DOAJ
Open Access (DOAJ)
DOI: 10.1002/ags3.70074
Jiaquan Wan, Junchao Wang, Wei Zhang, Hao Song et al. • Journal of Hydrology: Regional Studies
(2025)
Study region: The Three Gorges Reservoir Area (TGRA) Study focus: TGRA faces increasing vulnerability to extreme precipitation events driven by complex convective weather systems. Radar echo extrapolation—predicting future precipitation pat...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.ejrh.2025.102703
Beniyel Muthuraj, Sivapragash Murugesan, Rajesh Rajamony, Michael Thomas Rex Francis • Materials Research
(2025)
This study uses an artificial neural network (ANN) model to predict the wear rate and friction coefficient of the magnesium alloy AZ91D, based on experimental data from a pin-on-disc tribometer. The model includes three essential process pa...
DOAJ
Open Access (DOAJ)
DOI: 10.1590/1980-5373-mr-2025-0388
Hafez Padervand, Banafsheh Hassanvand, Kaveh Rostami, Asma soleimani • روانشناسی تربیتی
(2026)
The aim of this study was to predict the sport participation motivation of male adolescent students in school physical education classes based on basic psychological needs and social responsibility. The research method was a correlational s...
DOAJ
Open Access (DOAJ)
DOI: 10.22054/jep.2026.88261.4266
Rafael Perera, Marjan Van Den Akker, Kym I E Snell, Joerg J Meerpohl et al. • BMJ Open
(2021)
Objective To explore factors that potentially impact external validation performance while developing and validating a prognostic model for hospital admissions (HAs) in complex older general practice patients.Study design and setting Using ...
DOAJ
Open Access (DOAJ)
DOI: 10.1136/bmjopen-2020-045572