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Computer Modeling in Engineering & Sciences
REVIEW

From Lattice Boltzmann Acoustics to Quantum Lattice Boltzmann Methods: A Physics-Guided Roadmap for Quantum Flow Simulations

Quantum computational fluid dynamics (QCFD) is an active but still immature research area, and quantum lattice Boltzmann methods (QLBM) provide a natural...

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Computer Modeling in Engineering & Sciences
REVIEW

Graph-Mamba: A Survey of Selective State Space Models for Graph Learning

The fusion of GNNs and SSMs is creating a new era in the realm of dynamical learning with structures. Graph-Mamba is one of the most promising works in...

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Computers, Materials & Continua
REVIEW

A Systematic Review of Agentic AI for Autonomous Navigation: SLAM-Based Intelligent Agents

Autonomous navigation poses a key challenge in Artificial Intelligence (AI), necessitating agents to plan and execute actions in complex, partially visible...

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Computers, Materials & Continua
REVIEW

Safety, Alignment, and Robustness of Large Language Models: A Review

Large Language Models (LLMs) have rapidly evolved into general-purpose systems with broad applicability across information access, reasoning, decision...

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Computers, Materials & Continua
ARTICLE

Side-Channel-Resistant Post-Quantum Digital Signatures with Verkle Trees, Lattice-Based Vector Commitments, and Quantum True Random Number Generators

Lattice-based post-quantum cryptographic standards such as Module-Lattice Key Encapsulation Mechanism (ML-KEM) and Module-Lattice-Based Digital Signature...

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Computers, Materials & Continua
ARTICLE

Hybrid Quantum-Kernel and Quantum-Inspired Machine Learning for TDoS Early Warning in Critical Infrastructure

Increasing digitalization exposes critical infrastructure to sophisticated cyber threats, requiring new approaches to improving security and resilience....

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Computers, Materials & Continua
REVIEW

A Review of Next-Generation Smart Manufacturing Enabled by Engineering Systems, Materials Modeling, and High-Performance Computing: A System-Oriented Perspective for Semiconductor Manufacturing

Semiconductors represent the most complex production activities and stand at the forefront of smart manufacturing. In particular, the yield of advanced...

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Computers, Materials & Continua
ARTICLE

STALAgent: A Multi-Agent System Based on Large Language Model (LLM) for Steel and Alloy Design

The design of steel and alloy materials is of critical importance across a wide range of industrial applications; however, effective intelligent agent-based...

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Computer Modeling in Engineering & Sciences
REVIEW

A Comprehensive Review of Complex Logical Reasoning in Large Vision-Language Models

Large Vision-Language Models (LVLMs) have achieved strong performance in multimodal perception, understanding, and generation, but their ability to perform...

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Computer Modeling in Engineering & Sciences
ARTICLE

Computer Modelling of Thin, Soft Biological Tissues: A Decoupled Strategy for Standardizing Isotropic and Anisotropic Corneal Biomechanics

The development of accurate digital twin models of the human cornea is a key factor for planning and monitoring eye treatments and clinical supervision....

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Computer Modeling in Engineering & Sciences
ARTICLE

A Lagrangian Generalized Finite Difference Method for the Bubble Flow with Large Density Difference Considering the Continuous Surface Force Model

Due to the complex and dynamic nature of multi-phase interfaces, accurately capturing interface evolution remains one of the key challenges in multi-phase...

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BIOCELL
REVIEW

Targeting Skeletal Muscle Melatonin-MT2 Signaling to Attenuate the Obesity-Cancer Axis: A Metabolic Perspective

Obesity and metabolic syndrome promote malignancies through chronic inflammation and sustained activation of insulin and insulin-like growth factor-1...

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BIOCELL
REVIEW

Cholesterol-Mediated Remodelling of the Tumour-Immune Landscape: The Role of Non-Coding RNAs

Non-coding RNAs (ncRNAs) and cholesterol metabolism have independently been recognized as critical regulators of cancer progression. NcRNAs modulate various...

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BIOCELL
REVIEW

Improving Cancer Therapy: The Strong Synergy of Ginsenosides and Chemotherapy

Despite the advancements achieved in chemotherapy, cancer continues to remain a formidable and lethal global threat, ranking as the second leading cause...

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Computers, Materials & Continua
ARTICLE

An Edge-Assisted Internet-of-Vehicles Computing Framework for Fair Tail-Risk Allocation in Cooperative Autonomous Driving

Connected automated driving increasingly relies on cooperative perception from onboard sensors, roadside units (RSUs), smart traffic lights, and vehicle-to-everything...

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Computers, Materials & Continua
REVIEW

Topological Materials and Machine Learning: A Comprehensive Review

The unique topological properties of the electronic band structures in topological materials have increasingly attracted attention in both fundamental...

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Oncology Research
Special Issue

Advances in the Discovery and Development of Novel Anticancer Compounds

The rapid evolution of chemical biology, medicinal chemistry, and molecular pharmacology continues to drive the discovery of innovative anticancer compounds...

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Oncology Research
Special Issue

Epigenetics and Epitranscriptomics in Cancer Biology and Therapy

Cancer development and therapeutic response are governed not only by genetic alterations but also by dynamic regulatory mechanisms at the epigenetic and...

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Energy Engineering
Special Issue

Model-based and Learning Methods for Optimization and Management of Energy Flows in Decentralized Smart Grids

The transition toward decentralized smart grids is reshaping the way energy is generated, exchanged, controlled, and consumed. The increasing penetration...

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BIOCELL
Special Issue

Epigenetic and ncRNA Biomarkers in Cancer: Diagnostic and Prognostic Value

Cancer remains one of the leading causes of morbidity and mortality worldwide, and its onset and progression are closely linked to dysregulated epigenetic...

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Computer Modeling in Engineering & Sciences
Special Issue

Modeling and Applications of Bubble and Droplet in Engineering and Sciences

Welcome to the Special Issue on "Modeling and Applications of Bubbles and Droplets in Engineering and Sciences". This fascinating field...

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Oncology Research
Special Issue

Targeting the Tumor Microenvironment: Emerging Insights into Cancer Progression and Therapeutics

The tumor microenvironment (TME) plays a crucial role in cancer progression, metastasis, and resistance to therapy, prompting a shift in focus from targeting...

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Oncology Research
Special Issue

Tumor Biomarkers for Diagnosis, Prognosis and Targeted Therapy

Tumor biomarkers have become an essential foundation for advancements in cancer diagnosis, prognosis, and targeted therapy. As oncology moves towards...

article image
Computer Modeling in Engineering & Sciences
Special Issue

Machine learning and Blockchain for AIoT: Robustness, Privacy, Trust and Security

Artificial Intelligence of Things (AIoT) is considered a collaborative application of artificial intelligence (AI) and the Internet of Things (IoT). The...

article image
Computer Modeling in Engineering & Sciences
REVIEW

From Lattice Boltzmann Acoustics to Quantum Lattice Boltzmann Methods: A Physics-Guided Roadmap for Quantum Flow Simulations

Quantum computational fluid dynamics (QCFD) is an active but still immature research area, and quantum lattice Boltzmann methods (QLBM) provide a natural...

article image
Computer Modeling in Engineering & Sciences
REVIEW

Graph-Mamba: A Survey of Selective State Space Models for Graph Learning

The fusion of GNNs and SSMs is creating a new era in the realm of dynamical learning with structures. Graph-Mamba is one of the most promising works in...

article image
Computers, Materials & Continua
REVIEW

A Systematic Review of Agentic AI for Autonomous Navigation: SLAM-Based Intelligent Agents

Autonomous navigation poses a key challenge in Artificial Intelligence (AI), necessitating agents to plan and execute actions in complex, partially visible...

article image
Computers, Materials & Continua
REVIEW

Safety, Alignment, and Robustness of Large Language Models: A Review

Large Language Models (LLMs) have rapidly evolved into general-purpose systems with broad applicability across information access, reasoning, decision...

article image
Computers, Materials & Continua
ARTICLE

Side-Channel-Resistant Post-Quantum Digital Signatures with Verkle Trees, Lattice-Based Vector Commitments, and Quantum True Random Number Generators

Lattice-based post-quantum cryptographic standards such as Module-Lattice Key Encapsulation Mechanism (ML-KEM) and Module-Lattice-Based Digital Signature...

article image
Computers, Materials & Continua
ARTICLE

Hybrid Quantum-Kernel and Quantum-Inspired Machine Learning for TDoS Early Warning in Critical Infrastructure

Increasing digitalization exposes critical infrastructure to sophisticated cyber threats, requiring new approaches to improving security and resilience....

article image
Computers, Materials & Continua
REVIEW

A Review of Next-Generation Smart Manufacturing Enabled by Engineering Systems, Materials Modeling, and High-Performance Computing: A System-Oriented Perspective for Semiconductor Manufacturing

Semiconductors represent the most complex production activities and stand at the forefront of smart manufacturing. In particular, the yield of advanced...

article image
Computers, Materials & Continua
ARTICLE

STALAgent: A Multi-Agent System Based on Large Language Model (LLM) for Steel and Alloy Design

The design of steel and alloy materials is of critical importance across a wide range of industrial applications; however, effective intelligent agent-based...

article image
Computer Modeling in Engineering & Sciences
REVIEW

A Comprehensive Review of Complex Logical Reasoning in Large Vision-Language Models

Large Vision-Language Models (LVLMs) have achieved strong performance in multimodal perception, understanding, and generation, but their ability to perform...

article image
Computer Modeling in Engineering & Sciences
ARTICLE

Computer Modelling of Thin, Soft Biological Tissues: A Decoupled Strategy for Standardizing Isotropic and Anisotropic Corneal Biomechanics

The development of accurate digital twin models of the human cornea is a key factor for planning and monitoring eye treatments and clinical supervision....

article image
Computer Modeling in Engineering & Sciences
ARTICLE

A Lagrangian Generalized Finite Difference Method for the Bubble Flow with Large Density Difference Considering the Continuous Surface Force Model

Due to the complex and dynamic nature of multi-phase interfaces, accurately capturing interface evolution remains one of the key challenges in multi-phase...

article image
BIOCELL
REVIEW

Targeting Skeletal Muscle Melatonin-MT2 Signaling to Attenuate the Obesity-Cancer Axis: A Metabolic Perspective

Obesity and metabolic syndrome promote malignancies through chronic inflammation and sustained activation of insulin and insulin-like growth factor-1...

article image
BIOCELL
REVIEW

Cholesterol-Mediated Remodelling of the Tumour-Immune Landscape: The Role of Non-Coding RNAs

Non-coding RNAs (ncRNAs) and cholesterol metabolism have independently been recognized as critical regulators of cancer progression. NcRNAs modulate various...

article image
BIOCELL
REVIEW

Improving Cancer Therapy: The Strong Synergy of Ginsenosides and Chemotherapy

Despite the advancements achieved in chemotherapy, cancer continues to remain a formidable and lethal global threat, ranking as the second leading cause...

article image
Computers, Materials & Continua
ARTICLE

An Edge-Assisted Internet-of-Vehicles Computing Framework for Fair Tail-Risk Allocation in Cooperative Autonomous Driving

Connected automated driving increasingly relies on cooperative perception from onboard sensors, roadside units (RSUs), smart traffic lights, and vehicle-to-everything...

article image
Computers, Materials & Continua
REVIEW

Topological Materials and Machine Learning: A Comprehensive Review

The unique topological properties of the electronic band structures in topological materials have increasingly attracted attention in both fundamental...

article image
Oncology Research
Special Issue

Advances in the Discovery and Development of Novel Anticancer Compounds

The rapid evolution of chemical biology, medicinal chemistry, and molecular pharmacology continues to drive the discovery of innovative anticancer compounds...

article image
Oncology Research
Special Issue

Epigenetics and Epitranscriptomics in Cancer Biology and Therapy

Cancer development and therapeutic response are governed not only by genetic alterations but also by dynamic regulatory mechanisms at the epigenetic and...

article image
Energy Engineering
Special Issue

Model-based and Learning Methods for Optimization and Management of Energy Flows in Decentralized Smart Grids

The transition toward decentralized smart grids is reshaping the way energy is generated, exchanged, controlled, and consumed. The increasing penetration...

article image
BIOCELL
Special Issue

Epigenetic and ncRNA Biomarkers in Cancer: Diagnostic and Prognostic Value

Cancer remains one of the leading causes of morbidity and mortality worldwide, and its onset and progression are closely linked to dysregulated epigenetic...

article image
Computer Modeling in Engineering & Sciences
Special Issue

Modeling and Applications of Bubble and Droplet in Engineering and Sciences

Welcome to the Special Issue on "Modeling and Applications of Bubbles and Droplets in Engineering and Sciences". This fascinating field...

article image
Oncology Research
Special Issue

Targeting the Tumor Microenvironment: Emerging Insights into Cancer Progression and Therapeutics

The tumor microenvironment (TME) plays a crucial role in cancer progression, metastasis, and resistance to therapy, prompting a shift in focus from targeting...

article image
Oncology Research
Special Issue

Tumor Biomarkers for Diagnosis, Prognosis and Targeted Therapy

Tumor biomarkers have become an essential foundation for advancements in cancer diagnosis, prognosis, and targeted therapy. As oncology moves towards...

article image
Computer Modeling in Engineering & Sciences
Special Issue

Machine learning and Blockchain for AIoT: Robustness, Privacy, Trust and Security

Artificial Intelligence of Things (AIoT) is considered a collaborative application of artificial intelligence (AI) and the Internet of Things (IoT). The...

Latest Articles
Computers, Materials & Continua
Review

Accountable NLP for Evidence-Grounded Decision Briefings: A Critical Review and Evaluation Framework

Large language models and retrieval-augmented generation (RAG) systems are increasingly employed to transform evidence into decision-facing briefings, alerts, and recommendations. In these settings, explainability cannot be evaluated merely by fluency, readability, or factual correctness. A briefing may be factually correct while still being unsafe if it cites sources that do not substantiate the claim, suppresses uncertainty, converts correlational evidence into causal language, recommends an unauthorized action, or leaves no auditable path for human review. This…

Computers, Materials & Continua
Article

Disturbed Dynamic Analysis and Robust Decision-Making Control of Complex Networks

Complex networks in cyber–physical, transportation, and information infrastructures operate under topology variations, unmeasured disturbances, and limited actuation. This paper proposes robust disturbance-aware data-driven decision control (R-D3C), which couples a sliding-window graph-regularized estimator, disturbance-envelope adaptation, sparse intervention allocation, receding-horizon optimization, and a robust safety projection. The theory directly bounds the dynamic prediction regret of the implemented sliding-window estimator. A checkable sufficient condition for safety-filter feasibility is coupled with an explicit slack-and-backup fallback when the strict projection

Computers, Materials & Continua
Article

Privacy-Preserving Edge Intelligence for Speaker Verification via Uncertainty-Aware Adaptive Feature Offloading

Speaker verification on phones, wearables, and voice-enabled Internet-of-Things gateways must balance local privacy with reliable decisions under adverse audio. Existing privacy-preserving verification schemes generally protect a fixed representation, whereas edge-offloading policies usually adapt computation without attaching an explicit feature-disclosure budget; neither line alone coordinates trial uncertainty, communication state, and privacy expenditure. This paper presents privacy-preserving uncertainty-aware adaptive feature offloading (P-UAFO), an edge-intelligence framework that keeps raw audio local and transmits only clipped, projected, quantized, and…

Computers, Materials & Continua
Article

A 5G-MEC-Enabled, Digital-Twin-Trained Framework for Autonomous Mobile Robots on the ROSMASTER R2 Platform

Autonomous mobile robots increasingly rely on three tightly coupled capabilities: low-latency wireless connectivity, edge-side compute acceleration, and simulation-based pre-training of perception and control models. Each has been studied extensively in isolation, but their joint deployment on a single platform remains rare. This paper presents an integrated framework combining a private 5G Stand-Alone (5G SA) access network, a Multi-Access Edge Computing (MEC) layer with adaptive offloading, and a digital-twin training pipeline in NVIDIA Omniverse Isaac Sim.…

Computers, Materials & Continua
Article

AMLHunter: An On-Chain Risky Address Identification Method Based on Temporally Consistent Transaction Semantic Constraints and Generative Augmentation

On-chain risky address identification is an important task in blockchain security analysis and digital asset risk management. In practical on-chain risk control, however, risky addresses are usually far fewer than benign ones. Fund flows also follow complex propagation paths and strict temporal orders, which makes it difficult for existing methods to handle class imbalance, structural semantic modeling, and information leakage under temporal split settings at the same time. To address these challenges, this paper proposes…

Computers, Materials & Continua
Article

5G-Aware Incremental Routing and Scheduling for Dynamic Time-Triggered Flow Admission in Time-Sensitive Networks

Mobile edge services require deterministic communication across Time-Sensitive Networking (TSN) and 5G access, where the standardized integration architecture exposes the 5G System (5GS) to the TSN controller as a logical bridge. We study dynamic admission of time-triggered (TT) flows using reported 5GS bridge delay and TSN-to-5GS Quality of Service (QoS) mapping in route selection and Gate Control List (GCL) scheduling. Arrivals and departures can split available transmission time into noncontiguous windows. Online insertion preserves admitted…

Computers, Materials & Continua
Article

Secure Communication in Wireless Sensor Networks Using Ascon Lightweight Cryptography

Wireless sensor networks (WSNs) and Internet of Things (IoT) systems require lightweight cryptographic primitives that provide strong security under strict constraints on area, latency, and timing predictability. Ascon, selected by National Institute of Standards and Technology (NIST) as the standard for lightweight authenticated encryption, is well suited for such environments, yet application-oriented hardware implementations for WSN platforms remain underexplored. This paper presents a comprehensive evaluation of field programmable gate array (FPGA)-based Ascon architectures for secure…

Computers, Materials & Continua
Article

Cross-View Geo-Localization via Dynamic Multi-Positive Mining from Unlabeled Data

Cross-view geo-localization (CVGL) estimates the location of a street-level image by retrieving its matching GPS-tagged satellite tile. Semi-supervised methods reduce the need for dense annotations by mining pseudo labels, but most of them keep only one positive reference for each query. In real-world galleries, several overlapping satellite tiles may cover the same ground location. As a result, valid matches can be discarded as negatives, which gives the model conflicting supervision. To address this problem, we…

Computers, Materials & Continua
Article

A Multi-Level Equivalent Driving Force Framework for Fatigue Life Prediction of Nickel-Based Single-Crystal Superalloys under Stress Ratio and Notch Effects

Hot-section nickel-based single-crystal superalloy components under isothermal cyclic loading often exhibit systematic life shifts when datasets span different stress ratios and notch severities, making it difficult to maintain a globally consistent parameter set using conventional models. Because the effects of temperature, stress ratio, and stress concentration on cyclic response and damage evolution are typically nonlinear and coupled, this study proposes a multi-level equivalent driving force framework for fatigue life prediction, in which condition-induced life differences…

Computers, Materials & Continua
Article

A Discrete Crested Porcupine Optimizer for the Spherical Asymmetric Traveling Salesman Problem

The Spherical Asymmetric Traveling Salesman Problem (SATSP), characterized by spherical geometry and direction-dependent travel costs, is a challenging combinatorial optimization problem, particularly in large-dimensional scenarios. Although the recently proposed Crested Porcupine Optimizer (CPO) has shown promising performance in continuous optimization, its applicability to discrete asymmetric routing problems remains largely unexplored. To address this limitation, we propose a Discrete Crested Porcupine Optimizer (DCPO), which integrates a discrete solution representation with dual crossover operators, namely order crossover…

Computers, Materials & Continua
Article

A Dual-Level Structural Context Collaborative Framework for Knowledge Graph Completion

Knowledge graphs organize real-world facts as structured triples and have become a fundamental resource for search engines, question answering, recommender systems, and knowledge-enhanced large language models. However, real-world knowledge graphs remain highly incomplete, which limits their downstream reasoning ability. Existing pre-trained language model-based knowledge graph completion methods provide strong textual semantic representations, but they usually model graph structure only as shallow auxiliary features and remain weak in distinguishing structurally similar entities and topology-near negative samples.…

Computers, Materials & Continua
Article

Data-Driven Conditional Diffusion Generation Method for Anisotropic Mechanical Metamaterial Unit Cells

Designing two-dimensional anisotropic mechanical metamaterial unit cells from prescribed effective properties remains a challenging inverse problem, particularly when directional stiffness and material usage need to be controlled simultaneously. In this work, a data-driven conditional diffusion framework is developed for generating unit-cell structures with target effective elastic moduli and volume fractions. A structure–property database containing 57,000 binary unit-cell images is first established through a random target-property-driven inverse homogenization method. The effective elastic moduli in the x and…

Computers, Materials & Continua
Article

DMHG-LEDS: Joint Differentiated Modality-Aware Heterogeneous Graph and Local Emotion Difference Supervision for Multimodal Emotion Recognition in Conversations

Multimodal Emotion Recognition in Conversations (MERC) has garnered substantial research attention recently. Existing MERC methods face several challenges: (1) they apply shared or coarse-grained graph construction rules across modalities, overlooking their distinct dependency patterns; (2) they rely on fixed-activation MLPs for feature transformation, limiting nonlinear representation capacity in complex emotional scenarios; (3) they focus predominantly on contextual modeling while underexploring local emotion discrimination between related utterances. To address these issues, we propose Joint Differentiated Modality-Aware…

Computers, Materials & Continua
Article

Intelligent Characterization of Natural Fibers: Integrating Grey Wolf Optimization and Fuzzy Logic for Thermal Performance Prediction

In order to mimic the thermal properties of various natural fibers, this research presents a novel prediction framework that combines Fuzzy Logic (FL) with Grey Wolf Optimization (GWO). While the GWO technique ensures mathematical correctness by fine-tuning membership function parameters, this research uses a hybrid fuzzy model to outline nonlinear relationships between fiber components and thermal performance, which significantly reduces the need for extensive, trial-and-error laboratory testing. In this study, moisture, cellulose, and hemicellulose levels…

Computers, Materials & Continua
Article

Enhancing Biomedical Multi-Label Text Classification via Topic-Based Text Representation

Biomedical texts naturally contain multiple biological and medical concepts within a document, resulting in a semantically rich and complex structure. Consequently, multi-label text classification (MLTC) has become a suitable framework for comprehensively modeling biomedical texts, including clinical reports, laboratory records, and scientific abstracts. However, relying solely on contextual language representations may be insufficient to explicitly reflect the broader scientific focus and conceptual orientation of a document. In this study, the MLTC problem in the biomedical…

Computers, Materials & Continua
Article

A Lightweight Quantum-Secure Authentication and Key Agreement Protocol for Vehicular Ad-Hoc Networks

Intelligent transportation systems, a critical pillar for smart cities, enable real-time vehicular communications to prevent human errors and improve traffic safety and efficiency. However, the open and highly dynamic nature of vehicular networks exposes them to various security threats, including message tampering, impersonation, and privacy violations. Several authentication and key agreement (AKA) protocols have been proposed to mitigate these risks, but often fail to maintain future-proof security against emerging quantum threats or introduce significant latency…

Call for papers
Special Issue
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Computer Modeling in Engineering & Sciences

Advances in Modeling and Simulation...

Guest Editors: Van-Tu Nguyen; Ould el Moctar; Anh Dinh Le; Hemant J. Sagar Deadline: 30 September 2027

Special Issue
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Computer Modeling in Engineering & Sciences

Recent Advances in Data-Driven and Machine...

Guest Editors: Jin-Gyun Kim; Hee-Sun Choi; Seongji Han Deadline: 30 September 2027

Special Issue
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Oncology Research

Tumor Biomarkers for Diagnosis, Prognosis...

Guest Editors: Hung-Yu Lin; Hsing-Ju Wu Deadline: 31 May 2027

Special Issue
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Computer Modeling in Engineering & Sciences

Artificial Intelligence-Driven Forecasting...

Guest Editors: Carlos Vargas-Salgado; Dácil Diaz-Bello Deadline: 30 April 2027

Special Issue
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Computer Modeling in Engineering & Sciences

The Next Decade of SPH: Integrating...

Guest Editors: Leonardo Di G. Sigalotti; Carlos A. Vargas; Carlos E. Alvarado-Rodríguez Deadline: 30 April 2027

Special Issue
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Oncology Research

Genome Organization and Cancer

Guest Editors: Sabrina Tosi; Annabelle Lewis Deadline: 30 April 2027

Special Issue
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European Cytokine Network

Pharmacological Modulation of Cytokine...

Guest Editors: Wenlong Sun; Mengyao Li Deadline: 31 March 2027

Special Issue
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Computer Modeling in Engineering & Sciences

Agentic AI: The New Orchestrators of...

Guest Editors: Wenbing Zhao; Pan Wang Deadline: 31 March 2027

Special Issue
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Computer Modeling in Engineering & Sciences

Emerging Artificial Intelligence Technologies...

Guest Editors: Wenfeng Zheng; Choon Kit Chan; Kyungtae Kang; Chao Liu Deadline: 31 March 2027

Special Issue
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Oncology Research

Targeted Therapies and Immunotherapies...

Guest Editors: Joanna Zawitkowska; Małgorzata Mitura-Lesiuk; Maciej Dubaj Deadline: 28 February 2027

Special Issue
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Computer Modeling in Engineering & Sciences

The Collection of the Latest Reviews...

Guest Editors: Wenfeng Zheng; Lirong Yin; Shan Liu Deadline: 15 February 2027

Special Issue
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Computer Modeling in Engineering & Sciences

Advanced Artificial Intelligence and...

Guest Editors: Wei-Chiang Hong; Yi Liang; Ming-Wei Li; Zhong-Yi Yang Deadline: 15 February 2027

Special Issue
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Computer Modeling in Engineering & Sciences

Machine Learning and Deep Learning-Based...

Guest Editors: Jungpil Shin; Yong Seok Hwang Deadline: 31 January 2027

Special Issue
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European Cytokine Network

Inflammation and Cytokine Biology in...

Guest Editors: Denise Mafra; Jessyca Sousa de Brito Deadline: 31 January 2027

Special Issue
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Oncology Research

Extracellular Vesicles (EVs) in Cancer...

Guest Editors: Qi Chen; Yunhui Tang Deadline: 31 December 2026

Special Issue
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European Cytokine Network

Cytokines in Cancer: Tumor Microenvironment,...

Guest Editors: Hung-Yu Lin Deadline: 31 December 2026

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