Ethics

Artificial intelligence adoption for advancing energy justice: a multidimensional perspective.

Predicting Adherence to Computer-Based Cognitive Training Programs Among Older Adults Using Source-Free Domain Adaptation: Algorithm Development and Validation.

BACKGROUND: Cognitive decline in the aging population presents an unprecedented challenge worldwide. Recent research has shown the potential of cognitive training programs to mitigate cognitive decline. However, these interventions require sustained adherence to be effective, which can be challenging. OBJECTIVE: In this study, we aim to enhance the accuracy of predicting adherence patterns in cogn...

Zero-shot prediction of drug responses using biologically informed neural networks trained on phosphoproteomic timeseries.

Cellular signaling is driven by complex, dynamic phosphorylation networks that control growth and survival, and their dysregulation underlies diseases...

An efficient wavelet-based physics-informed neural network for multiscale problems.

Physics-informed neural networks (PINNs) are a class of deep learning models that utilize physics in the form of differential equations to address com...

Ethics tools for strengthening ethics review: A scoping Review.

BACKGROUND: Ethics review of research and innovation activities face growing challenges due to rapid scientific and technological advances, interdisci...

"Successful Aging" with Generative AI: Cultural and Ethical Challenges in Representing Aging through Synthetic Imagery.

Synthetic imagery produced by Generative Artificial Intelligence (GenAI) is rapidly transforming how aging is visually represented and culturally unde...

Protein Biomarkers as Molecular Tools for Forensic Biofluid Identification.

Forensic proteomics has rapidly established a significant role in forensics, particularly when DNA analysis is insufficient. Proteomics has been frequ...

Non-linear impacts of local fiscal expenditure on farmers' income: A SHAP-informed machine-learning analysis.

Understanding how local fiscal spending shapes rural income is central to China's rural revitalisation strategy. Using panel data from 17 prefecture-l...

Translating the Intranslatable: Traditional Chinese Medicine, Large Language Models, and the Philosophy of Medical Meaning.

The globalization of Traditional Chinese Medicine (TCM) hinges on translation practices that honor its philosophical and relational epistemologies, ye...

Committor-regularized learning of differentiable collective variables from non-differentiable structural descriptors.

Collective variables (CVs) are essential for interpreting and accelerating rare events in molecular simulations, yet their construction is constrained...

Preserving scientific integrity in academic publishing: Navigating artificial intelligence, journal policies, and the impact factor as a quality indicator.

UNLABELLED: The integration of artificial intelligence (AI), the rise of mega-journals, and the manipulation of impact factors present challenges to s...

LLM-based keyword augmentation for title-driven evidence selection: A practical approach.

Keyword-based search is widely used in digital forensic investigations, yet its effectiveness depends strongly on investigator experience, leading to ...

Nurses confront artificial intelligence-generated health information at the bedside: A case study.

As artificial intelligence (AI) tools increasingly shape how patients access health information, nurses must navigate new bedside tensions. This case ...

Ageing phenotypes and behavioural determinants of health on age acceleration: the Cancer Survivors' Trajectories of Ageing Research (C*STAR) study protocol.

INTRODUCTION: Age acceleration in survivors of breast cancer is a critical issue because cancer and its treatment can increase structural and numerica...

Mathematical modelling and analysis of human metapneumovirus transmission dynamics using neural network intelligence and optimal control.

Human metapneumovirus (hMPV) is a serious global health threat because it causes human respiratory diseases in people of all ages. The complicated dyn...

Advanced Prompting Techniques Informed by Clinical Expertise Improve the Accuracy of LLM Data Extraction but Increase Non-Determinism.

Prompt engineering techniques which aid in the use of generative artificial intelligence to address classification tasks have expanded considerably in...

Use of artificial intelligence for health science in low- and middle-income countries: NIH portfolio landscape, gaps and opportunities.

OBJECTIVES: To analyse the landscape of active US National Institutes of Health (NIH) artificial intelligence (AI) health research grants, with emphas...

Deep learning-based HTTP TRACE flood detection in wireless sensor network using deep spectral multi-layer convolutional neural network.

Wireless Sensor Networks (WSN) are widely used across various fields. WSN is composed of many low-cost, high-performance, plug-and-play sensor nodes. ...

Medical Student Experiences With ChatGPT: National Cross-Sectional Study.

BACKGROUND: Artificial intelligence (AI) is increasingly influencing medical student education, with AI-driven chatbots, such as ChatGPT, emerging as ...

Ethical Considerations for AI-Enabled Voice Analysis: Features of an Emerging Bioethics Literature.

BACKGROUND: With the emergence of voice as a digital biomarker for various health conditions over the last decade, healthcare institutions are explori...