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Deep learning-based multimodal data fusion in bone tumor management: Advances in clinical decision support

Tongtong Huo, Wei Wu, Xiaoliang Chen, Mingdi Xue et al. • Intelligent Oncology (2025)

Bone tumors (BTs)—including osteosarcoma, Ewing sarcoma, and chondrosarcoma—are rare but biologically complex malignancies characterized by pronounced heterogeneity in anatomical location, histological subtype, and molecular alterations. Re...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.intonc.2025.06.005

The deep learning applications in IoT-based bio- and medical informatics: a systematic literature review

Zahra Amiri, Arash Heidari, Nima Jafari Navimipour, Mansour Esmaeilpour et al. • Neural Computing and Applications (2024)

Abstract Nowadays, machine learning (ML) has attained a high level of achievement in many contexts. Considering the significance of ML in medical and bioinformatics owing to its accuracy, many investigators discussed multiple solutions for ...

OPENALEX cc-by DOI: https://doi.org/10.1007/s00521-023-09366-3

Central vein sign: A diagnostic biomarker in multiple sclerosis (CAVS-MS) study protocol for a prospective multicenter trial

D. Ontaneda, P. Sati, P. Raza, M. Kilbane et al. • NeuroImage: Clinical (2021)

The specificity and implementation of current MRI-based diagnostic criteria for multiple sclerosis (MS) are imperfect. Approximately 1 in 5 of individuals diagnosed with MS are eventually determined not to have the disease, with overrelianc...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.nicl.2021.102834

Electronic symptom monitoring of patient-reported outcomes among patients with hepatocellular carcinoma during immunotherapy (PRIME-HCC): protocol for a randomised controlled trial

Yanshang Wang, Xiaoping Wei • BMJ Open (2026)

Introduction Electronic patient-reported outcome (ePROs)-based symptom monitoring benefits health-related quality of life (HRQoL) in various cancers. However, despite the high disease and economic burden of hepatocellular carcinoma (HCC) an...

DOAJ Open Access (DOAJ) DOI: 10.1136/bmjopen-2026-116199

Healthcare Management using Blockchain

Vimala Imogen P, Vadlakonda Sahithya, Varshini Bala B • Journal of Information Technology and Digital World (2023)

Healthcare management using blockchain technology refers to the use of blockchain to improve the efficiency, security and privacy of healthcare data management. Blockchain enables the creation of a decentralized, tamper-proof database that ...

OPENALEX Open Access DOI: https://doi.org/10.36548/jitdw.2023.3.002

Assessing receptiveness to change among primary healthcare providers by adopting the consolidated framework for implementation research (CFIR)

Lee Lan Low, Fathullah Iqbal Ab Rahim, Mohammad Zabri Johari, Zalilah Abdullah et al. • BMC Health Services Research (2019)

Abstract Background Amid the current burden of non-communicable (NCD) diseases in Malaysia, there is a growing demand for more efficient service delivery of primary healthcare. A complex intervention is proposed to improve NCD management in...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12913-019-4312-x

Future Protein Supply and Demand: Strategies and Factors Influencing a Sustainable Equilibrium

Maeve Henchion, Maria Hayes, Anne Maria Mullen, Mark Fenelon et al. • Foods (2017)

A growing global population, combined with factors such as changing socio-demographics, will place increased pressure on the world’s resources to provide not only more but also different types of food. Increased demand for animal-based prot...

DOAJ Open Access (DOAJ) DOI: 10.3390/foods6070053

Enhancing vocational training in corrections: A type 1 hybrid randomized controlled trial protocol for evaluating virtual reality job interview training among returning citizens preparing for community re-entry

Matthew J. Smith, Jamie A. Mitchell, Shannon Blajeski, Brittani Parham et al. • Contemporary Clinical Trials Communications (2020)

The Michigan Department of Corrections operates the Vocational Villages, which are skilled trades training programs set within prisons that include an immersive educational community using virtual reality, robotics, and other technologies t...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.conctc.2020.100604

Computation offloading and information freshness in edge-assisted networked robotic systems

Junyeong Jeon, Daniel Poul Mtowe, Dong Min Kim, Dong Min Kim • Frontiers in Robotics and AI (2026)

Camera-based wireless networked control systems must move visual information across a shared wireless link before a command can be applied, so the placement of the perception computation fixes both the communication load and the freshness o...

DOAJ Open Access (DOAJ) DOI: 10.3389/frobt.2026.1999591

Robotont 3–an accessible 3D-printable ROS-supported open-source mobile robot for education and research

Eva Mõtshärg, Veiko Vunder, Renno Raudmäe, Marko Muro et al. • Frontiers in Robotics and AI (2024)

Educational robots offer a platform for training aspiring engineers and building trust in technology that is envisioned to shape how we work and live. In education, accessibility and modularity are significant in the choice of such a techno...

DOAJ Open Access (DOAJ) DOI: 10.3389/frobt.2024.1406645

QUANTUM COMPUTING

M. S. Godwin Premi, D. Susitra, Suja Cherukullapurath Mana, Ms. R. Velvizhi et al. (2025)

Quantum Computing represents a paradigm shift in computation, leveraging the principles of quantum mechanics to solve problems intractable for classical computers. This book provides a comprehensive exploration of quantum computing, encompa...

OPENALEX Open Access DOI: https://doi.org/10.47716/978-93-92090-62-2

Multiparty Delegated Quantum Computing

Elham Kashefi, Anna Pappa • Cryptography (2017)

Quantum computing has seen tremendous progress in the past few years. However, due to limitations in the scalability of quantum technologies, it seems that we are far from constructing universal quantum computers for everyday users. A more ...

OPENALEX cc-by DOI: https://doi.org/10.3390/cryptography1020012

Quantum Key Distribution Protocols for Enhancing Cryptographic Resilience in Next-Generation 5G Network Infrastructures

Leena Sameer Baddour, Haider Hadi Abbas, Kozhobekov Kudaiberdi Gaparalievich, Mohammed K. H. Al-Dulaimi et al. • Iranian Journal of Information Processing & Management (2025)

ABSTRACTBackground: Quantum computing has posed a profound threat to the classical cryptographic systems as it is advancing at an exponential rate with the help of quantum algorithms like Shor’s and Grover’s which can easily decipher the Ri...

DOAJ Open Access (DOAJ) DOI: 10.22034/jipm.2025.728344

Quantum computing with neutral atoms

Mark E. Saffman • National Science Review (2018)

The power of quantum computation derives from algorithmic methods that exploit the availability of quantum superposition and entanglement to perform computations that are intractable with classical devices. The race is on to develop hardwar...

OPENALEX cc-by DOI: https://doi.org/10.1093/nsr/nwy088 PMC: 8291449

Continuous monitoring biosensors for advanced healthcare and environmental applications: challenges, material innovations and future directions

Kiran Kumar Amireddy, P. V. R. Ravindra Reddy, C. Nagendranatha Reddy, P. Prabhakar Reddy • Frontiers in Sensors (2026)

This review critically discusses the development of continuous monitoring biosensors and the technological developments that have facilitated the transition from one-off or periodic measurement sensors to longer-term, connected and autonomo...

DOAJ Open Access (DOAJ) DOI: 10.3389/fsens.2026.1968999

The Role and Application of Matrices in Artificial Intelligence: Foundations, Methods, and Advancements

Raviraju Balappa D, Gautam Kumar Rajput • Shodh Sari (2025)

Matrices are foundational to artificial intelligence (AI), serving as critical tools for data representation, manipulation, and transformation across various applications. From machine learning algorithms to neural network architectures, ma...

DOAJ Open Access (DOAJ) DOI: https://doi.org/10.59231/SARI7840