For cybersecurity, artificial intelligence tools can serve as both a transformational asset and also as a conceivable digital ...

Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

It also plays a key role in understanding how intelligent AI is, preventing the misallocation of resources, and guiding ...

Background A regional trial indicated that implementing at-risk asthma registers in primary care could reduce hospital ...

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Objective The multinational ERYTHRO ( NCT06046534) study investigated the experience of patients with moderate-to-severe SLE ...

Objective Evaluation of the Medical Mediation Foundation’s Conflict Management Programme (CMP)—a structured process for ...

Aim: Socioeconomic disparities significantly influence the risk of loneliness among community-dwelling older adults. This study investigates the impact of inequalities i ...

Objectives Artificial intelligence (AI)-driven chatbots have been rapidly adopted across research, education, business, ...

Background Sex-based differences in immune response are well established, but whether men and women derive comparable benefit ...

This study investigated heterogeneous subtypes of non-suicidal self-injury (NSSI) among college students and examined the psychosocial predictors of high-risk profiles to guide precision interventions ...

Camera movement in AI often feels ungrounded—a “dreamlike” floating that lacks the weight of real-world optics. To achieve a ...