Breast cancer is the most common malignant tumor among women worldwide and remains
one of the leading causes of death among women. Its incidence and mortality rates are …

The gut microbiota significantly impacts human health, influencing metabolism,
immunological responses, and disease prevention. Dysbiosis, or microbial imbalance, is …

Artificial Intelligence (AI) has emerged as a transformative tool in predicting metastasis risk
and survival outcomes in cancer care. Traditional methods for assessing cancer progression …

Background: Datasets on rare diseases, like pediatric acute myeloid leukemia (AML) and
acute lymphoblastic leukemia (ALL), have small sample sizes that hinder machine learning …

The drug discovery process necessitates a significant investment of time and resources.
Typically, over a decade and billions of dollars are required to bring a single drug to market …

Identifying the primary site of origin of metastatic cancer is vital for guiding treatment
decisions, especially for patients with cancer of unknown primary (CUP). Despite advanced …

Breast cancer is an important global health issue affecting women, leading to death. Early
detection is the best way to improve detection and survival rates. Deep learning (DL) and …

This study uses scoping review and bibliometric analysis; ScoRBA, to comprehensively
highlight the recurrent themes linked to machine learning (ML) applications in genetic data …

This paper explores the critical role of biomathematics in cancer research, focusing on how
mathematical models enhance our understanding of tumor growth and optimize treatment …

This study employs a random forest classifier to analyze a novel blood profile dataset for
predicting metastatic breast cancer. The results demonstrate high performance, with an …