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Circulating cytokine profiling and clustering identify biomarker predicting efficacy of ICI in combination with chemotherapy.

Cancer letters
The combination of chemotherapy can enhance the efficacy of immune checkpoint inhibitors (ICIs), but requires precise patient stratification and biomarker screening. Cytokines influence immunotherapy outcomes, and multiplex cytokine profiling aids in...

Exploring vaccine safety and adverse events in major autoimmune diseases.

Autoimmunity reviews
This study evaluates post-vaccination adverse events by analyzing a large dataset of patients with major autoimmune diseases, including Hashimoto's n=26,330; Rheumatoid Arthritis n=9,251; psoriasis n=5,589; Systemic Lupus Erythematosus n=4,208; Infla...

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...

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...

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...

Machine learning and microfluidic integration for oocyte quality prediction.

Scientific reports
Despite advancements in in vitro fertilization (IVF) over the past 30 years, its outcome effectiveness remains low (20-40%). This study introduces a microfluidic-based machine learning framework to improve predictive accuracy in oocyte quality assess...

Educational impacts of generative artificial intelligence on learning and performance of engineering students in China.

Scientific reports
With the rapid advancement of generative artificial intelligence (AI), its potential applications in higher education have attracted significant attention. This study investigated how 148 students from diverse engineering disciplines and regions acro...

Association of ambient fine particulate matter (PM) and its constituents with risk of pulmonary nodules in a lung cancer screening project.

Environmental research
BACKGROUND: Ambient fine particulate matter (PM) is a significant global public health concern. However, large-scale research has yet to explore the effects of long-term PM exposure on the pulmonary nodule characteristics.

ASD-GraphNet: A novel graph learning approach for Autism Spectrum Disorder diagnosis using fMRI data.

Computers in biology and medicine
Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition with heterogeneous symptomatology, making accurate diagnosis challenging. Traditional methods rely on subjective behavioral assessments, often overlooking subtle neural biomarke...