A recent study on the development and validation of an AI-based framework for first-trimester preeclampsia risk assessment ...

Introduction Ischaemic heart disease (IHD) remains a leading cause of morbidity and mortality worldwide and poses an ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with increased cardiovascular risk, particularly in women. Conventional ECG-based detection is limited, ...

Johnson & Johnson has added another piece to the data behind its effort to move Tecvayli into earlier-line therapy for multiple myeloma, including the first relapse setting. In the MajesTEC-9 trial, ...

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Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

The high sensitivity of MRI in the depiction of plaques in the brain and spinal cord has made this technique the most important paraclinical tool for the diagnosis of multiple sclerosis (MS). MRI ...

Multiple sclerosis (MS) fatigue can feel like extreme exhaustion or “brain fog,” even after good sleep. It often worsens later in the day and in heat or humidity. The Modified Fatigue Impact Scale ...

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