In the 21st century, the development of medical science has entered the era of big data, and
machine learning has become an essential tool for mining medical big data. The …

Breast cancer (BC) was the most common malignant tumor in women, and breast infiltrating
ductal carcinoma (IDC) accounted for about 80% of all BC cases. BC patients who had bone …

Osteoporosis is a major public health concern that significantly increases the risk of
fractures. The aim of this study was to develop a Machine Learning based predictive model …

Background The use of machine learning has the potential to estimate the probability of a
second classification event more accurately than traditional statistical methods, and few …

Streamlit is an open-source Python coding framework for building web-applications or “web-
apps” and is now being used by researchers to share large data sets from published studies …

Simple Summary It is known that doxorubicin is one of the standards for chemotherapy
treatment against Ewing sarcoma. Despite its widespread use, doxorubicin treatment …

Current medical limitations in predicting cancer survival status and time necessitate
advancements beyond traditional methods and physical indicators. This research introduces …

Background Previous prediction models for postoperative stress urinary incontinence (SUI)
cannot be applied to patients receiving transvaginal mesh (TVM) surgery and colpocleisis or …

This study investigates the influence of cadmium (Cd) stress on the micropropagation of Goji
Berry (Lycium barbarum L.) across three distinct genotypes (ERU, NQ1, NQ7), employing an …

Objective Breast cancer has become the most prevalent malignant tumor in women, and the
occurrence of distant metastasis signifies a poor prognosis. Utilizing predictive models to …