Prostate cancer remains a significant public health concern, with a substantial proportion of patients experiencing biochemical recurrence (BCR) after radical prostatectomy (RP). Traditional risk models, such as CAPRA-S, have demonstrated moderate pr...
Parkinson's disease (PD), a progressive neurodegenerative disorder, presents complex motor symptoms and lacks effective disease-modifying treatments. Here we show that integrating artificial intelligence (AI) with optogenetic intervention, termed opt...
BACKGROUND: Overactive bladder management presents significant challenges, with treatment failures and medication non-adherence posing substantial barriers to patient outcomes. Early prediction of these challenges could enable timely interventions an...
Diagnostic needle biopsies that miss clinically significant prostate cancer (PCa) often sample benign tissue near hidden cancers. Such benign samples might still display subtle morphological signs of cancer elsewhere in the prostate. This study exami...
INTRODUCTION: Artificial intelligence (AI) technologies are increasingly being developed and deployed to support clinical decision-making, care delivery and patient monitoring in healthcare. However, the adoption of AI-driven solutions by nurses, who...
Nothing succeeds like success, we are told, and certainly that seems true for artificial intelligence (AI). It is hard to overstate either the ubiquity or the success of AI-based technologies in science and technology, health research and care, the m...
International journal of pharmaceutics
Aug 20, 2025
Chronic wounds represent a significant healthcare challenge characterized by complex pathophysiology and poor clinical outcomes. The latest progress in smart bioelectronic systems which include biosensing capabilities alongside controlled drug delive...
Cancer is a leading cause of death worldwide and a major burden on the healthcare system. Current treatment methods are limited as they have low selectivity, unspecific targeting and increasing multidrug resistance. Therefore, newer modes of therapeu...
Proceedings of the National Academy of Sciences of the United States of America
Aug 20, 2025
AI is now a cornerstone of modern dataset analysis. In many real world applications, practitioners are concerned with controlling specific kinds of errors, rather than minimizing the overall number of errors. For example, biomedical screening assays ...
British journal of hospital medicine (London, England : 2005)
Aug 20, 2025
The integration of artificial intelligence (AI) in healthcare offers the potential to play a critical role in reshaping clinical practice. However, it also brings regulatory, ethical, implementation, social, and technical challenges that healthcare s...
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