Despite decades of research, the mechanisms behind fast flashes of insight that change how a person perceives their world, ...

Applications for tertiary pathways in Mental Health Nursing and Intellectual Disability Nursing will open shortly ...

Objective: This study aims to address the challenge of early detection of EDCA by developing an innovative deep learning model, the ECG-Image-Aware Network (EIANet), which uses 12-lead ECG images for ...

In behavioral intervention, threat assessment, and case management, it can feel like you just upgraded your technology, only ...

This study is the first to provide evidence towards successful implementation and effectiveness of a Birthing on Country service and the wrap around care in a rural setting and supports the urgent ...

The Order of Australia, Meritorious and Military awards ...

The final, formatted version of the article will be published soon. Background: Early intracranial hematoma progression is a common and life-threatening complication of traumatic brain injury (TBI), ...

Abstract: Nowcasting plays a critical role in disaster warning systems, and recent advancements in deep learning have shown great potential in improving the accuracy and timeliness of such predictions ...

Colorectal cancer (CRC) remains a major global health burden. While precision therapies like anti-PD-1 and anti-EGFR antibodies show remarkable efficacy, their application is constrained by stringent ...

Temitayo Isaac Odeyemi does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations ...

Abstract: The early diagnosis of Alzheimer’s disease (AD) is crucial because individuals may first experience mild cognitive impairment (MCI), which can then develop into AD, enabling timely ...