Machine learning algorithms help computers analyse large datasets and make accurate predictions automatically.Classic models like regression, dec ...

Combined assessment using MSUS semiquantitative scores and inflammatory biomarkers may improve diagnostic accuracy and ...

Vitamin D deficiency is significantly associated with polycystic ovary syndrome (PCOS) and may play a role in its development by worsening metabolic dysfunction. Mendelian randomization ...

Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant risk of progressive renal impairment in a subset of patients. Early ...

Background: Although severe maternal morbidity (SMM), such as severe hemorrhage and sepsis, can occur from conception to 6 ...

Objectives Declining physical fitness, rising obesity and mental and behavioural diagnoses are growing public health issues in young adults. This study aimed to examine the associations between ...

Detecting behavioural signatures of depression from everyday digital traces is a central challenge in computational psychiatry. Real-world datasets from smartphones and wearables often suffer from ...

This article digs into how machine learning (ML) and artificial intelligence (AI) contribute to the optimization of green energy systems and electric vehicles (EVs).

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