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MP-VHPPI: Meta predictor for viral host protein-protein interaction prediction in multiple hosts and viruses

Muhammad Nabeel Asim, Muhammad Nabeel Asim, Ahtisham Fazeel, Ahtisham Fazeel et al. • Frontiers in Medicine (2022)

Viral-host protein-protein interaction (VHPPI) prediction is essential to decoding molecular mechanisms of viral pathogens and host immunity processes that eventually help to control the propagation of viral diseases and to design optimized...

DOAJ Open Access (DOAJ) DOI: 10.3389/fmed.2022.1025887

Ethical principles in dental healthcare: Relevance in the current technological era of artificial intelligence

Isha Duggal, Tulika Tripathi • Journal of Oral Biology and Craniofacial Research (2024)

In the current technological era, dental practitioners are faced with various ethical challenges, highlighting the importance of bioethics in this healthcare discipline. The rise of artificial intelligence has recently sparked a debate rega...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.jobcr.2024.04.003

Association between phthalate exposure and accelerated bone maturation in Chinese girls with early puberty onset: a propensity score-matched case–control analysis

Shurong Huang, Zhe Su, Huiping Su, Yanhua Jiao et al. • Scientific Reports (2022)

Abstract Estrogen can promote the acceleration of bone maturation and phthalate esters (PAEs) have estrogen-mimicking effects. We investigated whether PAEs are associated with the acceleration of bone age (BA) in girls with early onset of p...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-022-19470-4

Developing an Ethical Regulatory Framework for Artificial Intelligence: Integrating Systematic Review, Thematic Analysis, and Multidisciplinary Theories

Jian Wang, Yujia Huo, Jinli Mahe, Zongyuan Ge et al. • IEEE Access (2024)

Artificial intelligence (AI) ethics has emerged as a global discourse within both academic and policy spheres. However, translating these principles into concrete, real-world applications for AI development remains a pressing need and a sig...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2024.3501332

A multi-organization epigenetic age prediction based on a channel attention perceptron networks

Jian Zhao, Haixia Li, Jing Qu, Jing Qu et al. • Frontiers in Genetics (2024)

DNA methylation indicates the individual’s aging, so-called Epigenetic clocks, which will improve the research and diagnosis of aging diseases by investigating the correlation between methylation loci and human aging. Although this discover...

DOAJ Open Access (DOAJ) DOI: 10.3389/fgene.2024.1393856

Oxytocin Signalling in Lower Urinary Tract Symptoms Associated with Benign Prostatic Hyperplasia and Overactive Bladder Syndrome: A Narrative Review

Masroor Badshah, Jibriil Ibrahim, Khaled A. Elnahriry, Ralf Middendorff et al. • Biomedicines (2026)

Lower urinary tract symptoms (LUTSs) associated with benign prostatic disease and overactive bladder syndrome (OAB) substantially impair quality of life. This narrative review evaluates oxytocin receptor (OXTR) localisation, signalling, and...

DOAJ Open Access (DOAJ) DOI: 10.3390/biomedicines14102306

Generality in artificial intelligence

John McCarthy • Communications of the ACM (1987)

My 1971 Turing Award Lecture was entitled "Generality in Artificial Intelligence." The topic turned out to have been overambitious in that I discovered I was unable to put my thoughts on the subject in a satisfactory written form at that ti...

OPENALEX Open Access DOI: https://doi.org/10.1145/33447.33448

A Generative Super‐Resolution Model for Enhancing Tropical Cyclone Wind Field Intensity and Resolution

Joseph W. Lockwood, Avantika Gori, Pierre Gentine • Journal of Geophysical Research: Machine Learning and Computation (2024)

Abstract Extreme winds associated with tropical cyclones (TCs) can cause significant loss of life and economic damage globally, highlighting the need for accurate, high‐resolution modeling and forecasting for wind. However, due to their coa...

DOAJ Open Access (DOAJ) DOI: 10.1029/2024JH000375

Precision Periodontics: Reimagining Periodontal Care through Precision Diagnostics and Targeted Therapies

Muneesh Joshi, Kuhu Sharma • Archives of Medicine and Health Sciences (2026)

Periodontitis is a chronic inflammatory disease that affects the tissues supporting teeth and represents a significant global health issue. Traditional diagnostic and treatment methods often use a broad approach and fall short due to the co...

DOAJ Open Access (DOAJ) DOI: 10.4103/amhs.amhs_191_25

Assessing carbon and economic loss from oak decline in Iran’s Zagros forests using Sentinel-2 and machine learning

Saied Pirasteh, Zohreh Bazvand, Naseh Miri, Zhaoxi Fang et al. • Geo-spatial Information Science (2026)

Over recent decades, the decline of oak trees, which has emerged as the most significant challenge to the Zagros forests (ZFs), poses serious threats to carbon storage (CS) and economic valuation, jeopardizing the ecological and economic su...

DOAJ Open Access (DOAJ) DOI: 10.1080/10095020.2026.2682739

Binaural Beat Stimulation Enhances Cognitive Function in Alzheimer’s Disease via Temporal Lobe Activation: An sLORETA Study

Muhammad Danish Mujib, Nayab Mubashir, Ahmad Zahid Rao, Nisha Nasir et al. • Biomedicines (2026)

Background: The global prevalence of Alzheimer’s disease (AD) has reached 55.2 million. AD is characterized by progressive deterioration in cognition and working memory (WM), which are essential for attention, reasoning, and learning. These...

DOAJ Open Access (DOAJ) DOI: 10.3390/biomedicines14030540

Mapping artificial intelligence research in higher education toward sustainable development

Tieu Thi My Hong, Nguyen Thi Thanh Tung, Nguyen Thi Phuong Thanh • Discover Sustainability (2025)

Abstract The rapid development of Artificial Intelligence (AI) has had a profound impact on higher education (HE), fundamentally changing teaching, learning, research and academic management. Although there have been many studies on the app...

DOAJ Open Access (DOAJ) DOI: 10.1007/s43621-025-02162-0

Artificial intelligence tools in dermatology education: A scoping review on their application, efficacy, and limitations

Chun Hian John Yap, Ziying Vanessa Lim • Annals, Academy of Medicine, Singapore (2026)

Introduction: Artificial Intelligence (AI) is increasingly explored for medical education, and dermatology, with its visual diagnostic focus, holds promise for AI-enhanced learning. However, evidence on its educational effectiveness remains...

DOAJ Open Access (DOAJ) DOI: 10.47102/annals-acadmedsg.2026346