yusuke1997/dblp-id-title huggingface dataset:
Impact of deep sequencing on hepatocellular carcinoma utilizing high-throughput technology
Studying cancer-cell populations by programmable models of networks
Sample size determination for biomedical big data with limited labels
An accurate framework based on transformer networks for breast cancer classification using histopathological image
Computational analysis of xanthine dehydrogenase enzyme from different source organisms
A statistical feature selection technique
Enhancing lysine 2-hydroxyisobutyrylation site prediction using LightGBM and hybrid sequence features
DICA-Net: optimizing chest X-ray classification with attention U-Net and pigeon local search
Temporal multimodal transformer for automated radiology reporting in traumatic brain injuries
A hybrid NLP model combining biomedical entities and deep embeddings for automated identification of cancer types in biomedical texts
Developing an effective biclustering technique using an enhanced proximity measure
Molecular docking and simulation studies towards exploring antiviral compounds against envelope protein of Japanese encephalitis virus
Modeling methods and the degree of parameter uncertainty in probabilistic analyses of economic evaluations
MTSE U-Net: an architecture for segmentation, and prediction of fetal brain and gestational age from MRI of brain
In silico molecular docking analysis of cancer biomarkers with GC/MS identified compounds of Scytonema sp
Evolutionary pattern of four representative DNA repair proteins across six model organisms: an in silico analysis
Essential proteins in cancer networks: a graph-based perspective using Dijkstra's algorithm
Predicting lung cancer TNM staging from radiological reports using natural language processing and machine learning
Modeling a global regulatory network of Methanothermobacter thermautotrophicus strain ∆H
In silico evaluation of inhibitory potential of novel triazole derivatives against therapeutic target myristoyl-CoA: protein N-myristoyltransferase (NMT) of Candida albicans
Swarm optimization-based neural network model for secondary structure prediction of proteins
5-HTR 2B and SLC6A3 as potential molecular targets of sertraline in the treatment of major depressive disorder: the use of bioinformatics and its practical implication
Toward leveraging big value from data: chronic lymphocytic leukemia cell classification
Clinicopathological and prognostic significance of GPC3 in human breast cancer and its 3D structure prediction
A hybrid analytic approach for understanding patient demand for mental health services
Stacking based deep ensemble classifier with bridging Convnext and U-Net for an automatic prediction of lung cancer
Recognition of psychological emotion by EEG features
Epitope prediction for MSP1 19 protein in Plasmodium yeolii using computational approaches
Structure-based virtual screening, molecular docking and dynamics studies of natural product and classical inhibitors against human dihydrofolate reductase
APORES 1.0: a data architectural model for patient-centered data interoperability by decoupling content, context, and policy in health records
Methodologies for the analysis and classification of PET neuroimages
Mobile heath applications for self-management in chronic lung disease: a systematic review
Decoding methylation patterns in ovarian cancer using publicly available Next-Gen sequencing data
Parametric identifier of metabolic network associated to hydrogen production in Escherichia coli based on robust sliding-mode differentiation
A comparative QSAR analysis of substituted imidazolones derivatives as angiotensin II AT 1 receptor antagonists
Web Information Extraction for Finding Remedy Based on a Patient-Authored Text: A Study on Homeopathy
Computationally efficient dilated residual networks for segmentation of major cerebral vessels in MRA
In silico studies of selected multi-drug targeting against 3CLpro and nsp12 RNA-dependent RNA-polymerase proteins of SARS-CoV-2 and SARS-CoV
Comparative binding studies of curcumin and tangeretin on up-stream elements of NF-kB cascade: a combined molecular docking approach
An integrative docking and simulation-based approach towards the development of epitope-based vaccine against enterotoxigenic Escherichia coli
Numerical study of one-dimensional buffered advection-diffusion of calcium and \({\text {IP}}_{3}\) in a hepatocyte cell
Explainable machine learning framework integrating PPPM for automated cytological triage and personalized breast cancer risk stratification
The human GPCR signal transduction network
Optimized Active Fuzzy Deep Federated Learning for predicting autism spectrum disorder
Modeling social support in autism community on social media
A new approach for enhancing managing and querying Web services communities: health care case study
Mathematical computation of the tumor growth
Prediction of enhanced bipolar disorder in autistic children using denoising convolutional neural network
Movement analysis of the chest compartments and a real-time quality feedback during breathing therapy
Breast cancer classification with reduced feature set using association rules and support vector machine
Structure-guided computational design of novel polycyclic aromatic compounds as telomerase inhibitors for the treatment of cancer
Comparative evaluation of multiomics integration tools for the study of prediabetes: insights into the earliest stages of type 2 diabetes mellitus
GAD-VAE: generative adversarial disentanglement with variational autoencoders for hair removal in dermoscopy images
Locomotion analysis and its applications in neurological disorders detection: state-of-art review
Model-based and model-free filtering of genomic data
AI in radiology: a comprehensive survey on content-based medical image analysis for lung diseases
A tri-nucleotide mapping scheme based on residual volume of amino acids for short length exon prediction using sliding window DFT method
A novel application of discrete event simulation as a digital twin for monitoring patient pathways in a hospital in real time
Disease discovery-based emotion lexicon: a heuristic approach to characterise sicknesses in microblogs
MedRecommenderX: a scalable sentiment-aware framework for personalized drug recommendations
An integrated algorithm for local sequence alignment
A novel framework of skin cancer detection using Yolo-Unet++ segmentation model with adaptive deep learning-based classification
Hybrid Fuzzy-Markov chain model for feature reduction in cancer DNA sequence classification
In silico study to quantify the effect of exercise on surface GLUT4 translocation in diabetes management
Explainable deep learning approaches for skin cancer diagnosis
Early detection of parkinson's disease through electrode configurations and sensory states
Network-based disease gene prioritization based on Protein-Protein Interaction Networks
A complexity reduction based retinex model for low luminance retinal fundus image enhancement
Protein crystallization screening using enhanced associative experimental design
Targeting S100A9-EF Ca²⁺ sequestration with natural compounds: insights from molecular docking and molecular dynamics simulation
VGAE-Hub: a variational graph autoencoder framework for identifying shared hub genes in colorectal cancer and inflammatory bowel disease
A hybrid framework for heart disease prediction using multi-scale feature map reconstruction with inception in DenseNet and AHP-VIKOR feature selection model
An evaluation of approaches for using unlabeled data with domain adaptation
Identifying potential biomarkers of non-obstructive azoospermia using a comprehensive bioinformatics approach
BicBioEC: biclustering in biomarker identification for ESCC
A deep generative approach to cancer prognosis: MMD-VAE for multi-omics data fusion
Computational tools and databases at the forefront to study geographic and genomic distribution of SARS-CoV-2 variants
Hybrid optimized PSO-CatBoost framework for high-accuracy cell-type classification and identification in single-cell RNA-Seq data
Spatial data mining using association rules and fuzzy logic for autonomous exploration of geo-referenced cancer data in Western Tamilnadu, India
Identifying dense subgraphs in protein-protein interaction network for gene selection from microarray data
Self-care management importance in kidney illness: a comprehensive and systematic literature review
Epidemic threshold: a light spectral and structural approach of prediction
A theoretical model for an electromagnetic antenna in induction of virtual T cells
An effective measure corresponding to biological significance
Collapsed lung disease classification by coupling denoising algorithms and deep learning techniques
New 3D segmentation algorithm for modeling of kidney in positron emission tomography images
On adverse drug event extractions using twitter sentiment analysis
TCPP-2PPIN: trustworthy centrality prediction paradigm for analyzing two protein-protein interaction networks using centrality measures and graph theory concepts
Virtual screening and molecular dynamics reveal the stable binding of taraxerone and anabsinthin to mpox targets
Deep learning for breast cancer diagnosis from histopathological images: classification and gene expression: review
Automated grading of non-small cell lung cancer by fuzzy rough nearest neighbour method
Implementation and comparison of kernel-based learning methods to predict metabolic networks
Stenosis diagnosis based on peripheral arterial and artificial neural network
Discrete-event simulation and exploratory analysis of network epidemiological models
Integrating relieff-based feature selection and ensemble machine learning for robust biomarker identification in colorectal cancer
Structural analysis of SARS-CoV-2 Spike protein variants through graph embedding
Computational study of diarylcyclopentene derivatives as selective prostaglandin EP1 receptor antagonist: QSAR approach
On the interpretation of the effects of the Infliximab treatment on Crohn's disease patients from Facebook posts: a human vs. machine comparison
CT and MRI image fusion via multimodal feature interaction network
Identification of vital regulatory genes with network pathways among Huntington's, Parkinson's, and Alzheimer's diseases
Guest Editorial: Intelligent solutions for green computing in internet of medical things
Plectin as a putative novel biomarker for breast cancer: an in silico study
Identification of potential candidate genes in rheumatoid arthritis using integrated machine learning and WGCNA approach on transcriptomic data
In silico vaccine design against type 1 diabetes based on molecular modeling of coxsackievirus B4 epitopes
Binding affinity analysis and ADMET prediction of epigallocatechine gallate (EGCG) derivatives for AP-1 protein: a drug target for liver cancer
Community-aware recommender system for personalized patient-physician matchmaking on bipartite graphs
Machine learning develops a glutamine metabolism-related signature for predicting clinical outcome, molecular subtyping, immunotherapy efficacy and drug sensitivity in colorectal cancer
Accurate prediction of anti-cancer drug responses using grey wolf optimization and multidimensional molecular data
AACNet: attention aided CNN-autoencoder network for precise categorization of respiratory conditions from HRCT scans
Compartment modelling and eigenvalue expansion to study the drug concentration in capillary and tissue regions surrounding the malignant tumour
Employing the Gini coefficient to measure participation inequality in treatment-focused Digital Health Social Networks
A comparative study of features selection for skin lesion detection from dermoscopic images
A medical image retrieval scheme through a medical social network
GSASVM-RBPs: Predicting miRNA-binding protein sites with aggregated multigraph neural networks and an SVM
Pan-cancer classification of multi-omics data based on machine learning models
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
SGAClust: Semi-supervised Graph Attraction Clustering of gene expression data
Harnessing the potential of HSV glycoproteins as cell penetrating peptides through in-silico methods
Topology of protein-protein interaction network and edge reduction co-efficiency in VEGF signaling of breast cancer
Machine learning-based intrusion detection for SCADA systems in healthcare
Prediction of structural requirements of AT 1 receptor through application of pharmacophore-based 3D-QSAR studies
Pharmadoop: a tool for pharmacophore searching using Hadoop framework
Inhibitory effect of anti-HIV compounds extracted from Indian medicinal plants to retard the replication and transcription process of SARS-CoV-2: an insight from molecular docking and MD-simulation studies
Empirical mode decomposition based adaptive noise canceller for improved identification of exons in eukaryotes
Trends and challenges of image analysis in facial emotion recognition: a review
In silico chemical profiling and identification of neuromodulators from Curcuma amada targeting acetylcholinesterase
Identification of natural product inhibitors as potential drug candidates for treating Alzheimer's disease: molecular docking, molecular dynamics simulations, MM/GBSA and pharmacokinetics
Generating novel molecule for target protein (SARS-CoV-2) using drug-target interaction based on graph neural network
Detecting disease-related SNP loci based on GSP
A mathematical model of COVID-19 transmission between frontliners and the general public
Detection of ovarian cancer using a methodology with feature extraction and selection with genetic algorithms and machine learning
SACOENet: an advanced segment anything model enhanced with self-calibrated convolutions and optimized EfficientNetB7 for precise diabetic retinopathy detection
AI-based tools for early detection and accurate diagnosis of anxiety disorder (systematic review)
Exploring phenylketonuria through mathematical models: enzyme kinetics and genetic probabilities
Module extraction from subspace co-expression networks
Heart diseases prediction system using quantum technology
Clinical and dermoscopy image-based deep learning models for skin lesion diagnosis in clinical practice
One-click annotation to improve segmentation by a convolutional neural network for PET images of head and neck cancer patients
A deep ensemble learning framework for COVID-19 detection in chest X-ray images
Hybrid graph-based models in medical decision support
Performance comparison of artificial neural networks learning algorithms and activation functions in predicting severity of autism
Integrating host-pathogen interactions with AI, cheminformatics and network pharmacology for peptide-based dual inhibitors against SARS-CoV-2
A novel particle swarm optimization-based ensemble efficientnet learning model for imbalanced image classification in medical diagnosis: case study of melanoma skin cancer prediction
Screening of potential inhibitors of COVID-19 with repurposing approach via molecular docking
Intradialytic hypotension detection using explainable machine learning techniques aided with multi-scale temporal features
Regional patterning of co-expressed genes in autistic brains
Dynamic distributed predictive learning models that preserve privacy for hospitals with insufficient labeled data
Comprehensive study of TDP-43 protein through NMR assignment and structural analysis
Computer-aided diagnosis of digestive tract tumor based on deep learning for medical images
Threshold-based feature selection techniques for high-dimensional bioinformatics data
Chronic fatigue syndrome: identification of transcription factor (TFs) associated with gene expression for drug signature prediction
A novel radial basis neural network process for the numerical solutions of the anthrax disease model
Telehealth and the digital divide as a social determinant of health during the COVID-19 pandemic
Network pharmacology approach to the study of therapeutic role of selected phenolics on diabetic pancreatic islet cells based on multi-omics analysis
A method to determine the unknown parameters of mathematical model of epidemic transmission by genetic algorithm
Systems biology approach deciphering the biochemical signaling pathway and pharmacokinetic study of PI3K/mTOR/p53-Mdm2 module involved in neoplastic transformation
A new insight into identification of in silico analysis of natural compounds targeting GPR120
A study on fractional-order lung cancer model under different internal influences with time delays analysis and modeling
DeepTranSeq: an image-based approach for bacterial sigma70 promoter sequence identification using deep learning techniques
Physical health of teenagers and the biological characteristics affecting sports-related physical fitness
Greedy hierarchical binary classifiers for multi-class classification of biological data
The impact of pre-clustering on classification of heterogeneous protein data
The innovative DEA application for color vision self-re-education of eyes suffering from dyschromatopsia
A system for grading diabetic maculopathy severity level
Role of bioinformatics and pharmacogenomics in drug discovery and development process
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
Network-based approach to understand dynamic behaviour of Wnt signaling pathway regulatory elements in colorectal cancer
Scoring function-based soft support vector machine model for prediction of patches containing conformational epitope
In silico molecular studies of natural compounds as possible anti-Alzheimer's agents: ligand-based design
Tracking machine learning models for pandemic scenarios: a systematic review of machine learning models that predict local and global evolution of pandemics
Advancements and emerging trends in brain tumor classification using MRI: a systematic review
Development of COVID-19 Health-Risk Assessment and Self-Evaluation (CHaSe): a health screening system for university students and staff during the movement control order (MCO)
How natural language processing derived techniques are used on biological data: a systematic review
A spider tool-based qualitative analysis of machine learning for wrist pulse analysis
Network building and analysis in connectomics studies: a review of algorithms, databases and technologies
Machine learning and deep learning techniques for identification of phases of mitosis in plant cells: challenges, innovations, and prospective pathways
A novel preventative solution for effective asthma management: a practical evaluation
Harnessing Artemisia argyi's phytochemicals: a deep learning and molecular docking approach for targeting cancer and inflammation
3D mathematical modeling of calcium signaling in Alzheimer's disease
Designing and modeling of complex DNA vaccine based on MOMP of Chlamydia trachomatis : an in silico approach
Molecular modeling and phylogenetic analysis of Esx homeobox-1 protein of Bubalus bubalis
Identification of shared proteins between ankylosing spondylitis and its comorbidities through network biology
Exploration of important sites of angiotensin II AT 1 receptor of Pyrido [2, 3-d] pyrimidine analogues for structural modification using computational approach
Predicting autism spectrum disorder using intelligent framework
A framework for the trajectory data warehouse conceptual modeling support: a mobile hospital trajectory case study
In-silico design of a multi-epitope for developing sero-diagnosis detection of SARS-CoV-2 using spike glycoprotein and nucleocapsid antigens
A graphical approach for outlier detection in gene-protein mapping of cognitive ailments: an insight into neurodegenerative disorders
Prognostic and clinicopathological significance of TRPM8 in various cancers: a meta and bioinformatic analysis
Global protein interactome of Deinococcus deserti reveals their strategies for radiation resistance
Exploration of new scaffolds pyrazole derivatives containing thiourea skeleton as anticancer activity using QSAR approach
An improved cost-sensitive approach toward the selection of wart treatment methods
Drug repurposing for the treatment of patients infected with SARS-CoV-2
Molecular docking and ADMET-based mining of terpenoids against targets of type-II diabetes
Unveiling the radiotherapeutic role of Andrographolide and Melatonin in triple-negative breast cancer: a combined in silico and in vitro analysis
A systematic review on revolutionizing veterinary drug discovery: harnessing omics data to combat complex diseases in domestic animals
Leveraging social networks for anytime-anyplace health information
A compressive mathematical model including an eclipse stage of infected cells to study the impact of stem cells transplantation on one HIV1 patient
Feature optimization via artificial bee colony in a hybrid deep learning architecture for electrocardiogram arrhythmia classification
A study on new mathematical model of human metapneumovirus (hMPV) by wavelet method
Finding objects for assisting blind people
Multiple sclerosis: an associated single-nucleotide polymorphism study on Egyptian population
Deep learning-based robust brain tumor detection via fuzzy C-means and LSTM networks
A diagnosis model for detection and classification of diabetic retinopathy using deep learning
Visual-X2: interactive visualization and analysis tool for protein crystallization
A promising vaccine candidate targeting the outer membrane invasion protein invg: a step toward controlling Salmonella enterica infections
ISCMF: Integrated similarity-constrained matrix factorization for drug-drug interaction prediction
Retraction Note: Artificial intelligence for a bio-sensored detection of tuberculosis
Genetic correlation, and causal relationships between 3 solid cancer types and human traits
Enhancing convolution-based sentiment extractor via dubbed N-gram embedding-related drug vocabulary
Deathdaily: A Python Package Index for predicting the number of daily COVID-19 deaths
Leveraging large language models and ensemble techniques for real-time mental health monitoring on social media
Exploration of COVID-19 data in Malaysia through mapper graph
Correction to: Process mining project methodology in healthcare: a case study in a tertiary hospital
Data management and visualization of wearable medical devices assisted by artificial intelligence
An effective feature extraction with deep neural network architecture for protein-secondary-structure prediction
Molecular docking and dynamics studies of curcumin with COVID-19 proteins
Erratum to: Mining clinical text for stroke prediction
In silico designing of some agonists of toll-like receptor 5 as a novel vaccine adjuvant candidates
Rationalization of physicochemical characters and structural determinants of benzimidazole analogues as casein kinase 2 inhibitors: computational approach
A comparison of soft computing models for Parkinson's disease diagnosis using voice and gait features
The application of exponential random graph models to collaboration networks in biomedical and health sciences: a review
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
A new approach to distinguish migraine from stroke by mining structured and unstructured clinical data-sources
Balancing cerebrovascular disease data with integrated ensemble learning and SVM-SMOTE
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
A holistic approach for integration of biological systems and usage in drug discovery
Using nonlinear analysis and neural network to classify bipolar I disorder electroencephalogram signals from normal electroencephalograms
AI techniques for brain tumor segmentation in MRI: a review (2019-2024)
A transcriptomics-guided network pharmacology and structure-based modeling framework reveals molecular signatures and multi-target repurposed therapeutics for COVID-19