Effective feature selection is critical for building robust and interpretable predictive models, particularly in medical applications where identifying risk factors in the most extreme patient strata is essential. Traditional methods often focus on a... read more
The rapid adoption of generative artificial intelligence (AI) tools such as ChatGPT in academic writing raises concerns about research integrity and authorship transparency, including in dentistry. The aim of this study was to investigate whether you... read more
Ki-67 expression, a critical biomarker for tumor aggressiveness and proliferation in invasive breast cancer, is traditionally assessed via invasive biopsies, which suffer from sampling variability and limit serial monitoring. This study aimed to deve... read more
This study examined the relationship between climate perceptions and observed trends among pastoralist and agro-pastoralist communities in the Koh-e-Suleiman Range, Pakistan. Household perception data were collected from 198 respondents and analyzed ... read more
Introduction Approximately 1-5% of pregnant women experience recurrent pregnancy loss (RPL). Early detection and evaluation of high-risk variables allow for the initiation of recommended treatments while also reducing the likelihood of RPL in these c... read more
BACKGROUND: Healthcare Artificial Intelligence (AI) offers transformative potential but often inherits biases from training data, worsening disparities. While bias mitigation has focused on structured data, mental health relies on unstructured clinic... read more
The rapid advancement of Artificial Intelligence Generated Content (AIGC) technologies challenges fake speech detection with an ever-evolving diversity of spoofed audio. Current approaches, which rely on a classification-based perspective, are highly... read more
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