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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

Towards Transparency by Design for Artificial Intelligence

Heike Felzmann, Eduard Fosch‐Villaronga, Christoph Lutz, Aurelia Tamò‐Larrieux • Science and Engineering Ethics (2020)

In this article, we develop the concept of Transparency by Design that serves as practical guidance in helping promote the beneficial functions of transparency while mitigating its challenges in automated-decision making (ADM) environments....

OPENALEX cc-by DOI: https://doi.org/10.1007/s11948-020-00276-4 PMC: 7755865

Unsupervised machine learning identifies distinct ALS molecular subtypes in post-mortem motor cortex and blood expression data

Heather Marriott, Renata Kabiljo, Guy P Hunt, Ahmad Al Khleifat et al. • Acta Neuropathologica Communications (2023)

Abstract Amyotrophic lateral sclerosis (ALS) displays considerable clinical and genetic heterogeneity. Machine learning approaches have previously been utilised for patient stratification in ALS as they can disentangle complex disease lands...

DOAJ Open Access (DOAJ) DOI: 10.1186/s40478-023-01686-8

Designing novel linagliptin analogs through combined generative artificial intelligence, molecular docking, molecular dynamics simulation, and binding energy estimation for targeting fibroblast activation protein

Mingsong Shi, Mingsong Shi, Zhi Yang, Yuhan Yang et al. • Frontiers in Chemistry (2026)

Fibroblast activation protein (FAP) is a highly specific biomarker overexpressed in cancer-associated fibroblasts, making it a promising diagnostic target. Developing novel high-affinity molecular probes for FAP-targeted diagnostics remains...

DOAJ Open Access (DOAJ) DOI: 10.3389/fchem.2026.1848970

Artificial Intelligence in Pathology

Hye Yoon Chang, Chan Kwon Jung, Junwoo Isaac Woo, Sang-Hun Lee et al. • Journal of Pathology and Translational Medicine (2018)

As in other domains, artificial intelligence is becoming increasingly important in medicine. In particular,deep learning-based pattern recognition methods can advance the field of pathology byincorporating clinical, radiologic, and genomic ...

OPENALEX cc-by-nc DOI: https://doi.org/10.4132/jptm.2018.12.16 PMC: 6344799

The co-curation of collective memory: artificial intelligence, Holocaust survivor testimony and the contribution of museum educators

• History Education Research Journal (2026)

Holocaust survivor testimony is increasingly being preserved using emerging technologies in preparation for a post-survivor era. A key approach to this process is exemplified by the Dimensions in Testimony platform developed by the Universi...

DOAJ Open Access (DOAJ) DOI: 10.14324/HERJ.23.1.13

Biomaterial Engineering for Spatiotemporal Regulation of Exosome Functions: From Design Principles to Key Applications in Regenerative Medicine

Shan Long, Bo Wang, Shaodong Tian, Honglan Tang et al. • Pharmaceuticals (2026)

As natural nanoscale intercellular messengers, exosomes exhibit considerable potential in modulating inflammation, angiogenesis, immunoregulation, and tissue remodeling, making them attractive candidates for regenerative medicine. However, ...

DOAJ Open Access (DOAJ) DOI: 10.3390/ph19050672

Validity and reliability of the Chinese translation of the attitude scale towards the use of artificial intelligence technologies in nursing (ASUAITIN)- a cross-sectional study

Rong Hu, Yan-fei Ma, Chun-yan Wang, Xiao-ya Li et al. • BMC Nursing (2025)

Abstract Aim This study aimed to test the psychometric properties of the Attitudes Toward Artificial Intelligence in Nursing Scale (ASUAITIN) in Chinese culture. Methods A convenience sampling method was employed to recruit 499 clinical nur...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12912-025-03322-3

Convergence of Artificial Intelligence and Wearables in Strength Training and Performance Monitoring: A Scoping Review

Eleftherios Fyntikakis, Spyridon Plakias, Themistoklis Tsatalas, Minas A. Mina et al. • Applied Sciences (2026)

Background: Strength training (ST) is essential for enhancing athletic performance and reducing injury risk, yet traditional monitoring relies heavily on subjective assessment, limiting objective and individualized evaluation. Objective: Th...

DOAJ Open Access (DOAJ) DOI: 10.3390/app16073565

Cost-effective, open-source, automated apparatus for testing transitive inference in mice

Silvia Margarian, Yihan Chen, Jumana Waheed, Parham Rezaeimanesh et al. • Scientific Reports (2026)

Abstract Transitive inference is a form of reasoning that relies on prior knowledge and benefits survival in diverse species. While initially designed for humans, the transitive inference task has been adapted for mice, allowing for integra...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-026-43430-x