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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 Trabelsi, 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 - Vikalp Kumar Singh, Maheshwari Prasad Singh, Ashutosh Mani:
"The architecture of alteration: mapping the network dynamics of genetic mutations". 50 - Soran R. Mohammed-Taha, Aso M. Aladdin, Araz Ibrahim Mustafa, Dler O. Hasan, Rebwar Khalid Muhammed, Tarik A. Rashid:
Analyzing the impact of the pandemic on insomnia prediction using machine learning classifiers across demographic groups. 51 - Rakesh Rahangdale, Mukesh Pasupuleti, Fayaz Shaik Mohammad, H. Raghu Chandrashekar:
Harnessing the potential of HSV glycoproteins as cell penetrating peptides through in-silico methods. 52 - Mandana Mohammadi, Mitra Mohammadi, Didem Saloglu, Halil Dertli, Hamed Sargazi-Avval, Mansour Ghaffari-Moghaddam:
Modeling the effects of air pollution and meteorological variables on mortality from respiratory diseases: insights from the ARDL. 53 - Ali Damansabz, Mostafa Khajeh, Jamshid Piri, Mansour Ghaffari-Moghaddam:
A novel GWO-DE-LSTM hybrid model for predicting statin drug solubility in supercritical carbon dioxide: a comparative analysis with traditional machine learning approaches. 54 - Santhia Pushbaraj, Vellapandian Chitra, Muthu Kumaradoss Kathiravan:
Screening of potential constituents and its molecular mechanism of Punica granatum against breast cancer using network pharmacology. 55 - Ahmed Boufissiou, Mohnad Abdalla, Imededdine Kadi, Hachani Soumaya, Wafa Ali Eltayb, Maaweya E. Awadalla, Alanood Saeed Algarni, Adel Benarfa, Abderrezak Bouchareb, Farouk Benaceur, Fathi Berrabah:
Identification of natural product inhibitors as potential drug candidates for treating Alzheimer's disease: molecular docking, molecular dynamics simulations, MM/GBSA and pharmacokinetics. 56 - Abdelkader Alrabai, Amira Echtioui, Fathi Kallel:
Explainable deep learning approaches for skin cancer diagnosis. 57 - Oona Rainio, Riku Klén:
Convolutional neural networks for tumor segmentation by cancer type and imaging modality: a systematic review. 58 - Md. Al Amin, Md. Rashedur Rahman Refat, Sirajul Islam, Shamima Akhtar Sharmin, A. K. M. Mohiuddin, Shahin Mahmud:
Transcriptomic dynamics of deletion mutant two-component regulator system of Mycobacterium tuberculosis and machine learning driven novel therapeutic prediction targeting PPE4 protein. 59 - Himanshu Avashthi, Ulavappa B. Angadi, Sayanti Guha Majumdar, Jyotika Bhati, Dev Bukhsh Singh, Muktesh Chandra, Jaikee Kumar Singh, Akesh Sinha, Sejal Shah, Dwijesh Chandra Mishra:
A systematic review on revolutionizing veterinary drug discovery: harnessing omics data to combat complex diseases in domestic animals. 60 - Ana Beatriz Rodrigues, Matheus Rodrigues Sauda, Agatha MS Kubo, Jeferson dos Santos Souza, Tatiana de Campos Melo, Rejane MT Grotto, Guilherme Targino Valente:
Analysis of LncRNAs in children infected with respiratory syncytial virus using the transcriptome, single-cell RNA-Seq, and networks. 61 - Basim Mahmood:
Statistical mechanics of human genes interactions using complex networks modeling. 62 - Wided Souid Miled, Rafik Ghali, Sana Chtourou, Moulay A. Akhloufi:
Semantic segmentation of human blastocyst images using deep CNNs and vision transformers. 63 - Harshit Singh, Vivek Srivastava:
Comprehensive study of TDP-43 protein through NMR assignment and structural analysis. 64 - Ashima Tyagi, Vibhav Prakash Singh, Manoj Madhava Gore:
Enhanced Schizophrenia detection using ensemble deep learning and orthogonal linear transformation of structural MRI. 65 - David Amilo, Khadijeh Sadri, Suleiman Ibrahim, Muhammad Farman, Evren Hincal, Kottakkaran Sooppy Nisar:
A study on fractional-order lung cancer model under different internal influences with time delays analysis and modeling. 66 - Omair Bilal, Arash Hekmat, Saif Ur Rehman Khan:
Automated cervical cancer cell diagnosis via grid search-optimized multi-CNN ensemble networks. 67 - Mustain Billah, Md. Easin Arafat, Nazrul Islam, Al Imtiaz, Swakkhar Shatabda, M. Shamim Kaiser, Tamás Orosz:
DeepTranSeq: an image-based approach for bacterial sigma70 promoter sequence identification using deep learning techniques. 68 - Dwaipayan Chaudhuri, Kalyan Giri:
Interaction of Dengue virus NS1 with complement pathway proteins: an in silico study. 69 - Akinbowale Nathaniel Babatunde, Bukola Fatimah Balogun, Ayodele Joseph Babatunde, Salman Olatunji Isiaka, Joseph Bamidele Awotunde, Emmanuel Abidemi Adeniyi:
Improving skin lesion classification using k-means, transfer learning and mobilenet architecture. 70 - Dalel Mhiri, Nidhal Tarhouni, Bassem Khemakhem, Faiza Fakhfakh:
In silico analysis of the impact of missense variants within the GTPase domain of the human OPA1 gene: effect on OPA1 protein structure and its interaction with GTP ligand. 71 - Kritika Pandey, Sanskruti Patel, Gayatri Dave:
Machine learning and deep learning techniques for identification of phases of mitosis in plant cells: challenges, innovations, and prospective pathways. 72 - Wenjuan Jia, Jianshuai Zhang, Hongyue Guo, Lidong Wang, Xiaodong Liu:
A transformer-based learning system for wart disease treatment based on axiomatic fuzzy set theory. 73 - S. Jenita Christy, G. Rosline Nesa Kumari:
A novel framework of skin cancer detection using Yolo-Unet++ segmentation model with adaptive deep learning-based classification. 74 - Love Fadia, Vatsalkumar Vipulkumar Shah, Mohammad Hassanzadeh, Q. M. Jonathan Wu, Majid Ahmadi:
A novel multi-modal dual pathway network with hierarchical channel-spatial attention and adaptive feature fusion for viral genomic variant classification. 75 - Aditya Kumar, Jainath Yadav:
Louvain-based multi-view creation for enhanced ensemble learning. 76 - Edward C. Banico, Ella Mae Joy S. Sira, Lauren Emily Fajardo, Nyzar Mabeth O. Odchimar, Fredmoore L. Orosco:
Reverse vaccinology-aided design of an epitope-based subunit vaccine against classical swine fever virus. 77 - Riadh Bouslimi, Mariem Medini, Maissa Ben Fradj:
Temporal multimodal transformer for automated radiology reporting in traumatic brain injuries. 78 - Claude Kanyou, Etienne Kouokam, Norbert Tsopzé:
Epidemic threshold: a light spectral and structural approach of prediction. 79 - Pooja Trivedi, Nandan Y. Dixit, Saumya Patel, Sharad Gupta, Gaurang Sindhav:
Unveiling new therapeutic candidates for dystrophinopathies: computational insights into FBXO32 and CD4 modulation. 80 - Tunisha Varshney, Karan Verma, Arshpreet Kaur, Sunil Kumar Puri:
Hybrid and optimized feature fusion for enhanced breast cancer classification. 81 - Sinduja Gunasekaran, Sivasubramaniam Shanthi Priya, Hemamalini Vedagiri:
Regulatory network analysis of the cumulus cells reveals LINC02381 and LINC01416 as potential therapeutic targets of polycystic ovarian syndrome. 82 - Fatma Salah, Amira Echtioui, Yassine Ben Ayed:
Early detection of parkinson's disease through electrode configurations and sensory states. 83 - Kottakkaran Sooppy Nisar, Muhammad Farman:
Assessment and comparison of nonsingular kernels in various contexts for the measles epidemic model. 84 - R. Raja Aswathi, K. Pazhanikumar:
A hybrid framework for heart disease prediction using multi-scale feature map reconstruction with inception in DenseNet and AHP-VIKOR feature selection model. 85 - Mohit Dua, Md Aasif Raza, Nidhi Chakravarty, Shelza Dua:
A lightweight method for early detection of diabetic retinopathy using fundus image. 86 - Govind Prasad Sahu, Amit Singh Thakur:
Analyzing the role of media, environment, and treatment limits in epidemic spread: a mathematical and optimal control approach. 87 - Shanu Verma, Rashmi Popli, Harish Kumar, Brijesh Kumar Chaurasia:
AI leveraging solution for thyroid disease: advances and rationale. 88 - Kavita Chachadi, S. R. Nirmala, Sheetal Lamani:
Patch based coronary artery segmentation using 3D VNet architecture. 89 - Zahia Benamara, Soraya Zehani, Athmane Zitouni, Tawfiq Beghriche:
An innovative multi-level fine-tuning deep learning approach for enhanced lung cancer classification. 90 - Xinyi Fu, Yang Liu:
Prognostic and clinicopathological significance of TRPM8 in various cancers: a meta and bioinformatic analysis. 91 - Anchita Kakati, Upasana Bhattacharjya, Jyoti Prakash Medhi, Kandarpa Kumar Sarma:
AACNet: attention aided CNN-autoencoder network for precise categorization of respiratory conditions from HRCT scans. 92 - Nikhil Gadewal, Vamika Karn, Varun P. Talati, Bastikar Virupaksha:
Gene regulatory network and multi-omics analysis reveals key genetic drivers in clear cell renal cell carcinoma. 93 - Asmaa M. Hassan, Safaa M. Naeem, Mohamed A. A. Eldosoky, Mai S. Mabrouk:
A deep generative approach to cancer prognosis: MMD-VAE for multi-omics data fusion. 94 - Subhash Chandra Pal, Chirag Kamal Ahuja, Dimitrios Toumpanakis, Johan Wikström, Robin Strand, Ashis Kumar Dhara:
Computationally efficient dilated residual networks for segmentation of major cerebral vessels in MRA. 95 - Stanley Ebhohimhen Abhadiomhen, Royransom Chimela Nzeh, Modesta Ezema, Abel Onolunosen Abhadionmhen, Blessing Chimezie Uzo, Assumpta Obianuju Ezugwu:
Asthma exacerbation prediction using shallow and deep learning approaches: A systematic review. 96 - Khattab Al-Khafaji, Marwah Shuwaili, Hamza Abdulrahman Salman:
Integrating host-pathogen interactions with AI, cheminformatics and network pharmacology for peptide-based dual inhibitors against SARS-CoV-2. 97 - Kashif Abdaal, Aneeza Batool, Muhammad Tariq Navid:
In Silico design of multi-epitope vaccines against the foot and mouth disease virus (FMDV) structural protein (P1) region of serotype O by integrated structural vaccinology and molecular modeling approaches. 98 - Chandresh Verma, Aditya Upadhyay, Awanish Kumar:
Computational techniques for multifactorial analysis of bacterial biofilm. 99 - C. V. Aravinda, B. C. Arjun, Mohamed Samiulla Khan, Santhosh John, Shaik Asif Hussain:
Explainable AI hybrid CNN-transformer models for enhanced COVID-19 detection in chest X-rays. 100 - Selestine Melchane, Youssef Elmir, Farid Kacimi, Larbi Boubchir:
A decision support approach to infectious disease classification using tweets and routine blood tests. 101 - Zulqurnain Sabir, Ayse Nur Akkilic, Hasan Bulut, Muhammad Umar, Soheil Salahshour, Iram Saba:
A stochastic neural network procedure for the nonlinear typhoid fever disease system. 102 - Vijay Kalal, Brajesh Kumar Jha:
Hybrid Fuzzy-Markov chain model for feature reduction in cancer DNA sequence classification. 103 - Amber Rizwan, Aatiquah Aqeel, Humaira Farooqi:
Decoding HDACs and its inhibitors-artificial intelligence assisted smart software based super computational modelling technology in targeting cancer and neurological disorders of the brain. 104 - Govindan Raja, U. Srinivasulu Reddy:
Automatic pancreatic cancer segmentation and classification based on hybrid spatial-channel transformer with lightweight BiLSTM. 105 - Manohara G., S. Kumbinarasaiah:
Numerical investigation of fractional order malaria disease model through the Boubaker wavelets. 106 - Sourin Seifodini, Golfam Sadeghian-Boroujeni, Seyed-Morteza Javadirad, Peyman Salehi:
Identifying potential biomarkers of non-obstructive azoospermia using a comprehensive bioinformatics approach. 107 - Talal Bonny, Abd Alrhman Hammal, Wafaa Al Nassan, Mohamed Elhoseny:
Revolutionize dental diagnostics: AI-powered detection and localization of oral lesions using edge devices. 108 - Dalel Bouabidi, Amira Echtioui:
Interpretable transfer learning framework for diabetic retinopathy stage classification. 109 - Doaa Mohamed, Marwa Hashem, Nada Osama, Fahd Kamal, Ahmad Sharaf ElDin:
Optimizing drug combinations for human bladder carcinoma using genetic algorithm based on network analysis. 110 - C. S. Parvathy, J. P. Jayan:
Stacking based deep ensemble classifier with bridging Convnext and U-Net for an automatic prediction of lung cancer. 111 - Soudabeh Sabetian, Claudia Cava, Bahia Namavar Jahromi, Elham Askary, Sanaz Alaee, Bahare Vakili:
Genomic and transcriptomic analysis of uterine corpus endometrial carcinoma: immune Modulation, prognostic Biomarkers, and somatic alterations. 112 - Yu Zhang, Tingqiang Song, Lili Wei, Jingyuan Wang, Yueshuai Pan, Guozheng Wei, Yuyao Guo, Haoran Song, Wenjuan Cao:
MAMIFusion: a multimodal data fusion framework based on EHRs for enhancing diabetes prediction accuracy. 113 - Pallabi Patowary, Dhruba K. Bhattacharyya, Jugal Kumar Kalita:
A comprehensive survey of gene co-expression network analysis: methods, tools, challenges, and future directions. 114 - Tanvir Ahmmed, Md. Rezaul Karim, Apon Chandra Paul, Rizone Al Hasib, Shovon Shaha, Md. Monir Hossen, Md. Rezuanul Islam, Nilufa Akhter Banu, Mohammad Abu Hena Mostofa Jamal:
Identification and evaluation of phytochemicals as potential inhibitors for lung cancer targeting EGFR exon-19 deletion: A comprehensive study utilizing computational biology approaches. 115 - Soumia Benkou, Ahmed Asimi:
DCMHTS: a deep clustering model for healthcare based on trigger service. 116 - Akramdokht Amjad, Nafiseh Maghsoodi:
A network-based approach to identify hub genes in pancreatic ductal adenocarcinoma: proposing miRNA-Mediated combination therapy. 117 - Sai Anand, Kannakazhi Kantari, Piyush Kumar, Sai Sanwid Pradhan, Ashok Agraharam:
Network pharmacology approach to the study of therapeutic role of selected phenolics on diabetic pancreatic islet cells based on multi-omics analysis. 118 - J. Vijaya, Abhinav Roy, Bhavesh S. Gyanchandani, Jyoti Sahu:
A novel particle swarm optimization-based ensemble efficientnet learning model for imbalanced image classification in medical diagnosis: case study of melanoma skin cancer prediction. 119 - Navya V. B, Ravindra Kumar, Anubhav Mishra, Himanshu Fulmali, Sai Sandeep Reddy:
Protein network analysis reveals SARS-CoV-2's potential mechanisms in accelerating lung cancer tumorigenesis using immune signaling pathways. 120 - Kranthi Kumar Konidala, Umadevi Bommu, Suneetha Yeguvapalli:
Discovery of novel inhibitor N3 scaffolds targeting the catalytic dyad and oxyanion-hole loop of SARS-CoV-2 Mpro: Insights from ensemble docking, molecular dynamics, dynamic undocking, and ADMET analysis. 121 - Ayesha Mahboob, Muhammad Akram, Abdul Rauf, Malokhat Saidmuratova, Ikrom Djabbarov, Syed Kashif Ali, Abdullah Ali Alamri, Ahmad Asimov, Ali Bahadur, Shahid Iqbal, Sajid Mahmood, Abd-ElAziem Farouk, Mohamed Alqurshi, Ibrahim Jafri:
Comprehensive functional and profiling analysis of circular RNAs in type 2 diabetes mellitus: unveiling novel and biomarker therapeutic targets. 122 - Keshav Singh Rawat, Punam Patel, Tarun Sharma:
Heart diseases prediction system using quantum technology. 123 - Banavathu Sridevi, B. John Jaidhan:
Deep intelligent transformer for pancreas segmentation and abnormality classification. 124 - Shashikala, Vibha Rani, Shazia Haider:
Identification of key regulators in Duchenne muscular dystrophy combinatorial network: a systems biology approach. 125 - Rahul Kumar Singh, Oishi Dhar, Rajesh Kumar Das:
Computational design and characterization of some Mirdametinib derivatives as a promising caspase-3 modulator in cancer therapy. 126 - Rashmi Singh, Aryan Chaudhary, Dinesh Kumar Nishad:
Exploring phenylketonuria through mathematical models: enzyme kinetics and genetic probabilities. 127 - Priya Mishra, Swati Vipsita, Tapan Kumar Sahoo:
CLPCA-enhanced QSAR modelling for high-throughput prediction of SARS bioactivity inhibitors. 128 - Tushar Joshi, Tanvika Raj Sharma, Avani Panickar, Shalini Mathpal, Romita Guchhait, Sudha Ramaiah, Anand Anbarasu:
Screening of natural compounds potentially inhibiting the mutated C-terminal domain of GyrA in Salmonella Typhi using ML-based in silico approach. 129 - Uppula Purushotham, Karunakar Tanneeru, Stephen Abhishek Raju:
Identifying acetylcholinesterase inhibitors using machine learning, docking, and molecular dynamics simulations. 130 - Sachin Gudasi, M. B. Patil, Shankar Gharge, N. A. Khatib:
Ailanthus excelsa's lipid-modulating potential through PPAR and PI3K-Akt pathways: insights from system biology approach and 3T3-L1 adipocyte studies. 131 - Ju-Hyong Kim, Hang-Myong Kim:
A method to determine the unknown parameters of mathematical model of epidemic transmission by genetic algorithm. 132 - Parthasarathy Sundararajan, Sivakumar Dharmaraj, Prasad Gadiraju:
An ensemble learning framework for brain tumour classification with explainable AI for medical diagnosis. 133 - Nitin Kataria, Sapna Sinha:
A modified two-tier training module enabled deep convolutional neural network for cough sound analysis. 134 - Mahnoor, Rana Muhammad Mateen, Mohsin Javed, Muhammad Ali, Rukhsana Parveen, Syed Kashif Ali, Ahmed Asimov, Ali Bahadur, Shahid Iqbal, Sajid Mahmood, Abeer Ahmed Alghamdi, Randa A. Althobiti, Ibrahim Jafri:
Unveiling the capability of FDA-approved drugs targeting Zika virus E protein structural domains via molecular docking, dynamic simulation and in silico screening. 135 - Pratibha Joshi, Ravi Verma, Buddha Singh:
VGAE-Hub: a variational graph autoencoder framework for identifying shared hub genes in colorectal cancer and inflammatory bowel disease. 136 - Asmaa Alaaeldin, Reda Alhajj:
AI-based tools for early detection and accurate diagnosis of anxiety disorder (systematic review). 137 - Yuan Zhao:
A network modeling and analysis approach for post-disaster hospital systems: a case study of Beijing. 138 - Heba M. Elreify, Fathi E. Abd El-Samie, Moawad I. Dessouky, Hanaa Torkey, Said E. El-Khamy, Wafaa A. Shalaby:
Enhancing lysine 2-hydroxyisobutyrylation site prediction using LightGBM and hybrid sequence features. 139 - Yazeed K. Ahmed, Abdallah N. A. Naji:
Smart feature extraction using deep learning for early diagnosis of chronic diseases in next-generation medical decision support systems. 140 - Alaa Luqman Ibrahim, Bayda Ghanim Fathi, Maiwan Bahjat Abdulrazzaq:
An improved three-term conjugate gradient approach for deep neural network training in ECG signal classification. 141 - Devashish Mehta, Jignesh Prajapati, Kinjal Bhadresha, Kinjal Jani, Rakesh M. Rawal:
Unveiling the radiotherapeutic role of Andrographolide and Melatonin in triple-negative breast cancer: a combined in silico and in vitro analysis. 142 - Manan Gajjar, Mayank Gajjar, Meet Desai, Feni Desai, Dhyey Patel, Bhumi M. Shah:
Design of a novel multi-epitope-based vaccine against HIV using an immunoinformatic approach. 143 - Adnan Khosravi, Sharareh Seifi, Babak Salimi, Maryam Mabani, Parsa Rostami, Masoumeh Nomani:
Integrative transcriptomic analysis of non-small cell lung cancer: Microenvironment, circulation, and metastasis. 144 - Mohsen Farahpour, Hossein Safarpour, Seyyed Mohammad Razavi, Mehran Taghipour-Gorjikolaie:
Hybrid optimized PSO-CatBoost framework for high-accuracy cell-type classification and identification in single-cell RNA-Seq data. 145 - Ali Adel Dawood:
A promising vaccine candidate targeting the outer membrane invasion protein invg: a step toward controlling Salmonella enterica infections. 146 - Aléxia Stefani Siqueira Zetum, Antônio Victor Prinz Moraes, Arthur Gonzalez Brioschi, Carlos Henrique Pagani Corrêa, Fabio Victor Vieira Rocha, Juliana Ribeiro de Oliveira, Renan Pazini Borges, Thais Luma de Oliveira Roza, Matheus Correia Casotti, Daniel Cruz Cavalieri, Vinicius do Prado Ventorim, Danielle Ribeiro Campos da Silva, Giulia Maria Gianciti, Lorena Souza Castro Altoé, Iúri Drumond Louro, Débora Dummer Meira:
Leveraging artificial intelligence for integrative omics analysis to elucidate Covid-19 response. 147 - Abdul Qadir Nawabi, Xiangwei Bo, Lijuan Chen:
Bioinformatics insights into the pathogenic role of alterations in the gut microbiota in myocardial infarction via transcriptomics data. 148 - Chunhong Li, Wangshang Qin, Yuhua Mao, Jiahua Hu, Shirong Nong, Yi Liu:
Integrated machine learning and multi-omics analysis develop a consensus necrosis induced by sodium overload-related signature for predicting prognosis and drug sensitivity for lung adenocarcinoma. 149 - Vrushali V. Neve, Nikhil S. Sakle, Pawan N. Karwa, Praful Patil, Sadhana Sathaye:
Exploring berberine's therapeutic network: a pharmacological approach to kidney disease. 150 - Sk Aftabul Alam:
Virtual screening and molecular dynamics reveal the stable binding of taraxerone and anabsinthin to mpox targets. 151 - Azrin Ahmed, K. M. Tanjida Islam, Saborni Sarker, Shahin Mahmud:
In-silico analysis of structural and functional impact of missense SNPs of human CTSD protein on cancers and identification of potential novel cancer SNP biomarkers. 152 - Ihsan Ullah, Saleem Abdullah, Marya Nawaz:
A novel fuzzy credibility neural network approach for emergency control in human metapneumovirus outbreaks. 153 - Sara Tehsin, Inzamam Mashood Nasir, Robertas Damasevicius:
A systematic literature review on advances in brain tumor detection using deep learning and explainable AI methods. 154 - Tapan Chowdhury, Soham Patra, Shubhadeep Saha, Aditi Das, Shayambhavi Bakshi, Mrinal Kanti Nath:
SEIQVR: a network-based model for analyzing the spread of infectious diseases. 155 - Meesala Krishna Murthy:
Target identification and mechanism elucidation of Chai Hu Shu Gan-San against the comorbidity of insomnia and depression based on integrative computational pharmacology. 156 - Randa Mohamed, Eman M. G. Younis, Abdelmagid A. Ali:
Leveraging large language models and ensemble techniques for real-time mental health monitoring on social media. 157 - Chun Hoe Tan, Hiba Ahmed Hassan:
Sequence analysis, homology modeling, and molecular docking studies of the effects of point mutations on the ectonucleotide pyrophosphatase/phosphodiesterase family member 7 (ENPP7) in colorectal cancer. 158 - Xiao Shan, Masato Tagi, Ruiqing Liu, Takeshi Konishi, Jun Hirose:
Depth image multi-scale fusion network: a novel approach for food nutrition estimation. 159 - Sivasakthi Paramasivam, Hemamalini Vedagiri, Senthamil Selvan Perumal, Sanmuga Priya Ekambaram:
Targeting S100A9-EF Ca²⁺ sequestration with natural compounds: insights from molecular docking and molecular dynamics simulation. 160 - Imtiyaz Ahmad, Vibhav Prakash Singh, Manoj Madhava Gore:
Exploring AI-assisted techniques for diabetic retinopathy detection: a comprehensive review. 161 - Ahad Mehmood, Humera Nazir, Yilin Luo, Kamran Ahmad, Fatima Urooj, Yongjun Wu:
Harnessing Artemisia argyi's phytochemicals: a deep learning and molecular docking approach for targeting cancer and inflammation. 162 - Basheer A. Hassoon, Shengwu Xiong, Mushtaq A. Hasson, Zaid Ameen Abduljabbar:
A hybrid single-lead dataset for enhanced cardiovascular disease diagnosis. 163 - Vishal Chanda, Padmini Topinar Hanumantharayudu, Vivek Keshri, Agnik Haldar, Yuvashree Muralidaran, Prabhakar Mishra:
Unveiling natural antiviral agents against dengue virus: a hybrid machine learning and molecular dynamics approach. 164 - Kongara Deepika, Harika Vanam:
MedRecommenderX: a scalable sentiment-aware framework for personalized drug recommendations. 165 - Nora Laref, Khadidja Belkheir:
Structural exploration of Staphylococcus epidermidis virulence proteins for multi-epitope vaccine peptide design. 166 - Fernando Rodrigues Trindade Ferreira, Loena Marins do Couto:
Explainable machine learning framework integrating PPPM for automated cytological triage and personalized breast cancer risk stratification. 167 - Neslihan Gökmen:
AI techniques for brain tumor segmentation in MRI: a review (2019-2024). 168 - Armaghan Nikfar, Amir Shoja, Sasan Harifi, Javad Mohammadzadeh, Belikova Ekaterina Alexandrovna:
A novel LSTM-based multimodal system for robust diagnosis of respiratory infectious diseases. 169 - Yassin Ben Youssef, Asma Amdouni, Ghaith Manita, MD Ella Ben Hassine:
MedTransNet: a transformer-based clinical decision support framework for early infectious disease prognosis and antimicrobial stewardship. 170 - Jaipreet Kaur, Hardeep Kaur, Manbir Kaur, Rajdeep Singh Sohal:
Predicting autism spectrum disorder using intelligent framework. 171 - Sara A. Kayed, Mohamed Hamed, Muhammad A. Rushdi, Mohamed N. Saad:
Rare variant association analysis in rheumatoid arthritis using sequence kernel association testing: A genome-wide study. 172 - Ankur Prakash, Vibhav Prakash Singh:
AI in radiology: a comprehensive survey on content-based medical image analysis for lung diseases. 173 - Ebenezar Mythatha, S. Jenicka:
A survey on mathematics behind AI models for disease prediction and diagnosis in healthcare. 174 - Riadh Bouslimi, Fatma Zitouni, Takwa Ben Smida, Wahiba Ben Abdessalem Karaa:
Hybrid graph-based models in medical decision support. 175 - Zulqurnain Sabir, Nazek El Halabi, Mike Rizk, Issa Kadri, Muhammad Umar, Soheil Salahshour:
A novel radial basis neural network process for the numerical solutions of the anthrax disease model. 176 - J. Josephine Sahaya Vergin, R. M. Vidhyavathi:
DRNET-X: a deep learning-based framework for diabetic retinopathy image detection using hybrid preprocessing and CNN-based classification. 177
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