This study presents valuable findings for identifying biotypes of depression patients using white matter measures, which are under-utilised and under-appreciated in current biological and ...

Explore how proteomics in biomarker discovery accelerates diagnostic assay development and improves clinical validation.

The act of rising from a chair may seem like a simple task for most, but it is actually a significant effort for many older adults. This small movement serves as an everyday way to gauge overall ...

Explore how clinical multi-omics integration drives systems medicine, detailing data fusion methodologies and lab ...

Molecularly targeted therapies are increasingly relevant in clinical oncology, as they enable the selective modulation of specific biologic targets—such as enzymes or receptors—by inhibiting or ...

Introduction Incidental pulmonary nodules (IPNs) are commonly encountered on chest radiographs (CXRs) performed for routine clinical indications and may represent early manifestations of significant ...

West Nile virus is the most common mosquito-borne illness in the continental United States and can in rare cases lead to a ...

The most advanced new surgical procedure, AMI, addresses proprioception. This refers to the ability to sense position and movement. In an intact human arm or leg, muscles work in pairs. When a bicep ...

Objective Geriatric patients often face issues related to polypharmacy and adverse drug events. Re-evaluating prescribed medications and considering deprescribing is critical. Medication discrepancies ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Abstract: Deadbeat predictive current control (DPCC) is widely adopted in Surface-mounted permanent magnet synchronous motors (SPMSMs) due to its superior control performance. However, DPCC heavily ...

Abstract: Recent advances in machine learning (ML) have substantially improved the performance of survival prediction, yet this progress has been accompanied by a critical decline in model ...