Latest AI and machine learning research in menopause for healthcare professionals.
BACKGROUND: Identifying non-accidental trauma (NAT) in pediatric trauma patients is challenging. We ...
Non-small cell lung adenocarcinoma (LUAD) is a markedly heterogeneous disease, with its underlying m...
Due to the lack of efficient mpox diagnostic technology, mpox cases continue to increase. Recently, ...
PURPOSE: The incidence of cancer, which is a serious public health concern, is increasing. A predict...
OBJECTIVE: The LungFlag risk prediction model uses individualized clinical variables to identify ind...
Infertility affects one-in-six couples, often necessitating in vitro fertilization treatment (IVF). ...
The loads that have several working states cannot be accurately distinguished by the conventional No...
Foodborne pathogens such as Bacillus cereus, Staphylococcus aureus, and Escherichia coli are major c...
BACKGROUND: Non-muscle-invasive Bladder Cancer (NMIBC) is notorious for its high recurrence rate of ...
BACKGROUND: The transition into menopause marks a significant stage in a woman's life, indicating th...
OBJECTIVES: Spingosine-1-phosphate (S1P) and ceramides are bioactive sphingolipids that influence ca...
BACKGROUND: Disorders of consciousness (DoC) in non-traumatic ICU-patients are often treated with am...
RATIONALE AND OBJECTIVES: This study aimed to develop and validate machine learning (ML) models util...
Plum fruit fresh weight (FW) estimation is crucial for various agricultural practices, including yie...
Assessing myocardial viability is crucial for managing ischemic heart disease. While late gadolinium...
Multi-view clustering has garnered significant attention due to its capacity to utilize information ...
Reduced representation sequencing (RRS) has proven to be a cost-effective solution for sequencing su...
PURPOSE: Immune checkpoint inhibitors (ICIs) have demonstrated promise in the treatment of various c...
The efficacy of many compounds against is often limited when administered via conventional oral or ...
OBJECTIVE: Congenital heart disease with pulmonary arterial hypertension (CHD-PAH), caused by CHD, i...
Although recent advances in machine learning have shown its success to learn from independent and id...