Cervical cancer constitutes a formidable health challenge imperiling the well-being and lives of women globally, particularly in underdeveloped nations. The survival rates among patients diagnosed ...

In the age of innovation, predictive analytics and machine learning are reshaping the future of healthcare, enabling medical professionals to make data-driven decisions with unprecedented accuracy.

In a rapidly evolving digital landscape, machine learning is at the forefront of computational advancements, revolutionizing industries from healthcare to finan ...

An analysis of exhaled breath, using an electronic nose, demonstrates potential for accurately detecting lung cancer in ...

The model, trained on data from over 13,000 sepsis patients, demonstrated robust predictive performance ... The model's external validation across diverse cohorts, including Chinese sepsis ...

The following is a summary of "Machine learning model for predicting DIBH non-eligibility in left-sided breast cancer ...

As global warming intensifies, the greening of vegetation in the mid–high latitudes of Eurasia has been accelerating.

Key predictors included rectum length, race, age, and hydrogel spacer use. The CNN model demonstrated stability in the discovery data set (AUC = 0.81 ± 0.11) and outperformed LR in the validation data ...