AIMC Topic: Humans

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Machine learning approach effectively discriminates between Parkinson's disease and progressive supranuclear palsy: Multi-level indices of rs-fMRI.

Brain research bulletin
AIM: Parkinson's disease (PD) and progressive supranuclear palsy (PSP) present similar clinical symptoms, but their treatment options and clinical prognosis differ significantly. Therefore, we aimed to discriminate between PD and PSP based on multi-l...

MinT: Magnetic resonance image unsupervised translation via decoupling anatomical structure and contrast.

Computers in biology and medicine
Unsupervised image-to-image translation, which synthesizes new images from existing ones, has become a prominent research topic in computer vision. This technique is particularly valuable in the magnetic resonance (MR) imaging domain, where acquiring...

High-throughput screening system for immunogenic cell death inducers using artificial intelligence-based real-time image analysis.

Computers in biology and medicine
Immunogenic cell death (ICD) can enhance the immunogenicity of cold tumors, convert them into immune-responsive hot tumors, and improve the efficacy of cancer immunotherapy. Because ICD inducers cause cell swelling, membrane rupture, and the release ...

Semi-supervised motion flow and myocardial strain estimation in cardiac videos using distance maps and memory networks.

Computers in biology and medicine
Myocardial strain plays a crucial role in diagnosing heart failure and myocardial infarction. Its computation relies on assessing heart muscle motion throughout the cardiac cycle. This assessment can be performed by following key points on each frame...

KS-TMIL: A K-Stage Transformer approach with multiple instance learning model for ovarian cancer subtype classification.

Computers in biology and medicine
Existing multiple instance learning (MIL) methods treat whole slide image (WSI) as collections of independent patches, neglecting these crucial spatial and morphological connections. This paper proposes K-Stage Transformer with multiple instance lear...

Selenium exposure on breast cancer risk and progression: Comprehensive analysis identifies MSRB1 as a novel therapeutic target.

Ecotoxicology and environmental safety
BACKGROUND: Breast cancer (BRCA) is the most common malignancy in women worldwide. Selenium (Se), a crucial trace element, significantly impacts BRCA patient survival, although its roles in tumorigenesis, the tumor immune microenvironment (TIME), and...

Impact of Preseason Training Camps on Fitness, Fatigue, and Performance in Professional Football Players: Mildaltitude Camp Versus Sea-Level Camp.

International journal of sports physiology and performance
PURPOSE: Preseason in football is crucial for optimizing physical fitness, team cohesion, and tactical readiness. This study investigated the effects of 2 distinct preseason training environments-mild altitude with cooler conditions and sea level wit...

COVID-19 Vaccine Boosters in People With Multiple Sclerosis: Improved SARS-CoV-2 Cross-Variant Antibody Response and Prediction of Protection.

Neurology(R) neuroimmunology & neuroinflammation
BACKGROUND AND OBJECTIVES: Although disease-modifying therapies (DMTs) may suppress coronavirus disease 2019 (COVID-19) vaccine responses in people with multiple sclerosis (pwMS), limited data are available on the cumulative effect of additional boos...

[Update 2025: Biomechanics and kinematics after total knee arthroplasty (TKA)].

Orthopadie (Heidelberg, Germany)
BACKGROUND: In order to optimise clinical outcomes after primary total knee arthroplasty (TKA), research has refocused on the knee joint's biomechanical characteristics. Beyond implant design and alignment philosophy, the restoration of natural joint...

Wearable Double Network Plasmonic Hydrogel for SERS Detection of Urea and Uric Acid in Sweat.

ACS sensors
Traditional wearable devices for sweat detection often face limitations such as low detection sensitivity, insufficient mechanical properties, and discomfort during use. To address these challenges, hydrogels are utilized as sensor patches to improve...