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ORCIDNetwork Modeling Analysis in Health Informatics and Bioinformatics, Volume 14
Volume 14, Number 1, December 2025
- Claudia Cava, Ehsan Nazemalhosseini Mojarad, Isabella Castiglioni:
Genetic correlation, and causal relationships between 3 solid cancer types and human traits. 1 - Alberto Casagrande
, Francesco Fabris, Rossano Girometti:
A prevalence-robust measure of diagnostic test performance. 2 - Samara Acosta-Jiménez, Miguel M. Mendoza-Mendoza, Carlos Eric Galván-Tejada, Jorge I. Galván-Tejada, José M. Celaya-Padilla, Antonio García-Domínguez, Hamurabi Gamboa-Rosales, Roberto Solís-Robles:
Detection of ovarian cancer using a methodology with feature extraction and selection with genetic algorithms and machine learning. 3 - Chhaya Singh, Neeraj Jain, Neeru Adlakha, Kamal Raj Pardasani:
Type-2 fuzzy support vector machine model for conformational epitope prediction. 4 - Subhashish Nayak, Pabitra Mohan Khilar:
A ClusteredRF Approach to Data Imputation in Healthcare for Enhanced Data Integrity. 5 - Abdulwahab Ali Almazroi:
Innovative AI ensemble model for robust and optimized blockchain-based healthcare systems. 6 - Sahar Taneera, Reda Alhajj:
Diagnosis of autism spectrum disorder: a systematic review of clinical and artificial intelligence methods. 7 - Eslam Abushaaban, Reda Alhajj:
A survey on computational methods used for drug repositioning. 8 - Oluwayemisi Jaiyeoba, Emeka Ogbuju, Grace Ataguba, Oluwaseyi Jaiyeoba, James Daniel Omaye, Innocent Eze, Francisca Oladipo:
State-of-the-art skin disease classification: a review of deep learning models. 9 - Nabil Hezil, Amir Benzaoui, Feryel Souami, Youssouf Bentrcia, Aissa Amrouche, Khadidja Belattar, Ahmed Bouridane:
Deep learning-based robust brain tumor detection via fuzzy C-means and LSTM networks. 10 - Eduardo Hernández-Barrera, Gendry Alfonso Francia, Mariana Badillo-Fernández, Saúl Tovar-Arriaga:
Advanced AI strategies for accurate detection and localization of retinal nerve fiber layer defects: employing multifaceted analysis across various color spaces. 11 - Fatemeh Salboukh, Aria Jahanimoghadam, Yashar Mousavi:
Discovering new interaction between genes in extrahepatic Cholangiocarcinoma using Bayesian networks. 12 - Subham Kumar Padhy, Anjali Mohapatra, Sabyasachi Patra:
WE-XAI: explainable AI for CVD prediction using weighted feature selection and ensemble classifiers. 13 - Zakir Hossine, Isaac N. Towers, Benjamin D. Kaehler:
Network based differential abundance analysis: bridging community interactions and host microbiome dynamics. 14 - Muhammad Farman, Rabia Sarwar, Kottakkaran Sooppy Nisar, Parvaiz Ahmad Naik, Sundus Shahzeen, Aceng Sambas:
Global wave analysis of a fractional-order cholera disease model in society. 15 - Nima Zafari, Mahla Velayati, Hamid Naderi, Hawraa Ibrahim Alshakarchi, Ibrahim Saeed Gataa, Yeganeh Khazaei, Hamideh Khajeh, Hanieh Akbarzadeh, Hamid Fiuji, Gordon A. Ferns, Souad Mahmoud Al-Okla, Nasser Salem Al-Nazwani, Seyed Mahdi Hassanian, Elham Nazari, Amir Avan:
Prognostic value of ferroptosis-related genes and long non-coding RNAs in colorectal cancer: a meta and bioinformatics analysis. 16 - D. Umamaheswari, M. Kannan, I. Priya Stella Mary, D. Juliet Rozario, P. Margaret Savitha, B. Manimekala:
LSTM-MGTO: a novel early breast cancer detection using long short term memory based modified gorilla troops optimization algorithm. 17 - Rajdeep Dey, Bhumika Patel, Vivek K. Vyas, Nandan Y. Dixit, Saumya Patel, Hardik G. Bhatt:
Structure-guided computational design of novel polycyclic aromatic compounds as telomerase inhibitors for the treatment of cancer. 18 - Amisha Bisht, Anita Nayal, Disha Tewari, Sanjay Kumar, Subhash Chandra:
Discovering potent GSK3β inhibitors in Rosmarinus officinalis L. for Alzheimer's disease using homology modeling, molecular docking, MD simulation. 19 - G. S. V. R. Abhishek, Amit Singla, D. Eshwar:
DICA-Net: optimizing chest X-ray classification with attention U-Net and pigeon local search. 20 - Gianlucca L. Zuin, Guilherme Lima, Gabriel F. Barros, Nicolas Vançan, Ana Paula Macedo, Humberto Lomeu, Fernando Biscione:
Community-aware recommender system for personalized patient-physician matchmaking on bipartite graphs. 21 - Oona Rainio, Juhani Knuuti, Riku Klén:
Investigation of total-body applicable compartment models for kinetic modeling in total body 15O-water perfusion PET imaging. 22 - Ahlam Haj Hasan, Gagan Preet, Rishi Astakala, Emmanuel Tope Oluwabusola, Rainer Ebel, Marcel Jaspars:
Virtual screening of azoles libraries: the search for potential anti-mucormycotic agents using computational tools. 23 - Nassima Aleb:
Optimizing drug-target binding affinity prediction for kinase proteins: a novel all-MLP-transformer approach. 24 - Riadh Bouslimi, Houda Trabelssi, Wahiba Ben Abdessalem Karaa:
Enhanced diagnosis of pediatric wrist fractures using deep learning. 25 - Alessandro Bile:
The innovative DEA application for color vision self-re-education of eyes suffering from dyschromatopsia. 26 - R. Yeshwanth, S. Kumbinarasaiah:
A study on new mathematical model of human metapneumovirus (hMPV) by wavelet method. 27 - Haseeb Nisar, Komal Javed, Areej Arshad, Hamna Habib, Kashif Iqbal Sahibzada, Samiah Shahid:
Identification of potential candidate genes in rheumatoid arthritis using integrated machine learning and WGCNA approach on transcriptomic data. 28 - Saba Saeed, Shakeela Parveen, Muhammad Amir Iqbal, Mehwish Sultana, Zainab Riaz:
Molecular characterization, phylogenetics, and functional analysis of doublesex and mab-3-related transcription factor (DMRT) gene family in human. 29 - Amal Mekni, Jyotindra Narayan, Hassène Gritli:
Multi-class classification of gait cycle phases using machine learning: a comprehensive study using two training methods. 30 - Arman Daliri, Madjid Khalilian, Javad Mohammadzadeh, Seyed Shervin Hosseini:
Optimized Active Fuzzy Deep Federated Learning for predicting autism spectrum disorder. 31 - Esmail Karami, Fatemeh Rostamkhani, Maasoume Abdollahi, Mohamadreza Ahmadifard:
Computational insights into human UCP1 activation by wide virtual screening as new anti-obesity: a study utilizing molecular docking and molecular dynamics simulations. 32 - Haniyeh Baluch, Ali Ebrahimi, Najmeh Mostafavi:
Structural-based virtual screening of Ebselen derivatives to identify potential SARS-CoV-2 main protease inhibitors, utilizing 3D-QSAR models, molecular docking, MD simulation, and quantum mechanical calculations. 33 - Mohammad Reza Abbaszadeh Bavil Soflaei, Karim Samadzamini, Arash Salehpour:
Beyond imbalance: advancing breast cancer diagnosis with synthetic data and ML modeling. 34 - Chunhong Li, Yuhua Mao, Yi Liu, Chunchun Su, Jiahua Hu, Haiyin Tan, Xiao Fan, Yiming Mao:
Machine learning develops a glutamine metabolism-related signature for predicting clinical outcome, molecular subtyping, immunotherapy efficacy and drug sensitivity in colorectal cancer. 35 - Swetha Subramaniyan, Ling Shing Wong, Narayanasamy Marimuthu Prabhu, Agnal Arumugam, Radha Mahendran, Karthikeyan Muthusamy:
Molecular insights and risk estimating computational database for Parkinson's disease (PDASD). 36 - A. Arun Kumar Annadurai, Samarth Bhandary, Swathi Gopal Hegde, Jhinuk Chatterjee:
Assembling a multiscale biomedical knowledge graph for explainable drug repurposing in rare diseases. 37 - Oona Rainio, Aino Latva-Rasku, Jussi Hirvonen, Juhani Knuuti, Riku Klén:
New 3D segmentation algorithm for modeling of kidney in positron emission tomography images. 38 - Rajwinder Singh, Hardeep Kaur, Jyoteesh Malhotra:
Optimizing ovarian cancer screening using YOLOv8 and transfer learning. 39 - Pritam Bera, Subarna Debnath, Chittabrata Mal, Sunil Kanti Mondal:
Integrating relieff-based feature selection and ensemble machine learning for robust biomarker identification in colorectal cancer. 40 - Sachin Bhandari, Sunil Pathak, Sonal Jain, Basant Agarwal:
SACOENet: an advanced segment anything model enhanced with self-calibrated convolutions and optimized EfficientNetB7 for precise diabetic retinopathy detection. 41 - Zulqurnain Sabir, Abdallah Srayeldine:
A machine learning radial basis Bayesian regularization neural network procedure for the cholera disease model. 42 - Swarnambiga Ayyachamy, Pradeep Kumar Yadalam, Raghu Nandha Kumar, Charumathi P., Bharathi Devi M., Carlos M. Ardila:
Predicting and identifying key genes driving chemoresistance and cancer stemness in oral squamous cell carcinoma. 43 - Amirehsan Mollaei, Ali Ghanbari Sorkhi, Jamshid Pirgazi:
Accurate prediction of anti-cancer drug responses using grey wolf optimization and multidimensional molecular data. 44 - Lamia Al-Kershi, Ahmad Altamimi, Mohammad Azzeh:
Predicting lung cancer TNM staging from radiological reports using natural language processing and machine learning. 45 - Fu-Sheng Lin, Jyun Rong Zhuang:
Hybrid PSO-GWO algorithm with SVM integration for detecting tibialis anterior muscle fatigue. 46 - Zulqurnain Sabir, Mohamed A. Abdelkawy, Muhammad Asif Zahoor Raja, Warda Mushtaq:
Solution of fractional order mathematical lungs cancer operation model: a radial basis neural network. 47 - Sara A. Alsalamah, Shada AlSalamah, Hessah A. Alsalamah, Haytham A. Sheerah, Kurt Luther, Chang-Tien Lu:
Virtual healthcare bot (VHC-Bot): a Person-centered AI chatbot for transforming patient care and healthcare workforce dynamics. 48 - Subham Kumar Padhy, Anjali Mohapatra, Sabyasachi Patra:
A lightweight efficientNetB3 explainable model for enhancing prediction of cardiac arrhythmia using ECG signals. 49
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