Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Objectives In patients with chronic obstructive pulmonary disease (COPD), severe exacerbations (ECOPDs) impose significant morbidity and mortality. Current guidelines emphasise using ECOPD history to ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

A study conducted by experts from the University of the Philippines-Diliman showed that logistic regression is a reliable model for predicting the performance of licensure examination takers. Released ...

Introduction Armed conflict severely impacts health, with indirect deaths often exceeding direct casualties two to four times, disproportionately affecting women and children. Although the magnitude ...

It's estimated that nearly 30% of people who try cannabis will go on to develop a substance use disorder associated with it. Strong predictors include how often a person uses it, and whether they have ...

Companies typically don't suffer from a lack of ideas—they suffer from lacking a consistent way to decide which ideas deserve investment. Committees debate, spreadsheets multiply and road maps drift ...

Diffusion models gradually refine and produce a requested output, sometimes starting from random noise—values generated by the model itself—and sometimes working from user-provided data. Think of ...

The New York Mets, like most teams, did not make a move to upgrade their starting pitching before the MLB trade deadline Thursday. Yet, that doesn’t mean the Mets are throwing in the towel on their ...

Abstract: To ensure the confidentiality and integrity of image data, image encryption is obligatory in modern digital world. In this paper, we have proposed a novel image encryption algorithm using ...