Latest AI and machine learning research in sports medicine for healthcare professionals.
The escalating threat of antibiotic resistance demands a rapid and accurate pathogen identification. While Raman spectroscopy combined with deep learning supports fast detection, model robustness remains compromised by domain shifts arising from instrument heterogeneity, batch variability, and strain diversity. To address this, we propose the Raman Spectral Classification Discrepancy Model (RSCDM)...
Next-generation wearable electronics require multimodal sensing with high sensitivity, a wide linear strain range, and low power consumption, yet existing strain sensing systems face inherent trade-offs among these metrics. Here, we introduce a hierarchically engineered Thickness Gradient and Surface Topology (TGST) strain sensor with a crack-controlled architecture, achieving a gauge factor of 27...
Background Pulmonary rehabilitation (PR) is beneficial, yet outcome assessment remains inconsistent. A multidisciplinary D-A-CH working group reviewed...
Drug repurposing, the identification of new therapeutic applications for existing drugs, has emerged as a pragmatic and cost-efficient strategy to acc...
BACKGROUND: Variability exists regarding which is the best digit for diagnosing and classifying the severity of carpal tunnel syndrome (CTS) with elec...
Agentic AI represents a promising evolution of artificial intelligence in healthcare, with systems capable of operating autonomously to achieve define...
Developing innovative materials with superior properties has been a major engineering challenge. Rationally designed polymer nanocomposites represent ...
Robots traversing uneven terrain may require precise calculation of limb kinematics (e.g. foot position from joint angles and segment dimensions) and ...
BACKGROUND: Burn surgery requires rapid, evidence-based decision-making across acute resuscitation, operative management, and reconstruction. Despite ...
PURPOSE: Vaginal tissue tearing during childbirth is a prevalent injury with potential long-term consequences, yet the mechanical factors influencing ...
BACKGROUND: Single-leg squat (SLS) performance is widely used to screen functional movement quality, but practical assessment often relies on expert v...
BACKGROUND: Fatal occupational injury rates among agricultural workers are within the top 10 most dangerous civilian jobs. However, tracking and docum...
Addressing the long-tail problem (LTP) is critical when applying deep learning (DL) to ultrasonic testing, as defective samples often lead to poor tes...
BACKGROUND: Patients undergoing anterior cruciate ligament reconstruction (ACLR) are at high risk of osteoarthritis or secondary injuries, with abnorm...
Complex nitrogen pollution in wastewater and the rising energy consumption are calling for the development of coupled advanced technologies to simulta...
ETHNOPHARMACOLOGICAL RELEVANCE: Nephropathy 1 Formula (N1F) derives from the classical traditional Chinese medicine (TCM) prescription Biejia Jian Wan...
As one of the most extensively studied neurotransmitters in the central nervous system, dopamine exerts its biological effects primarily through its r...
Electrides are a class of materials whose highly localized electrons in the lattice interstices exhibit anion-like behavior, known as interstitial qua...
OBJECTIVE: Golf carts are increasingly sharing public roads with other vehicles, creating new safety challenges due to their design limitations and ga...
The 2026 report from the Global Initiative for Chronic Obstructive Lung Disease (GOLD) introduces substantial conceptual and practical updates to the ...