Anemia

Identification and validation of ferroptosis-related genes for diabetic nephropathy.

BACKGROUND: Emerging evidence highlights the pivotal role of ferroptosis in the pathophysiology of diabetic nephropathy (DN). This study aimed to identify potential ferroptosis-related genes (FRGs) in DN through bioinformatics and experimental validation. METHODS: Datasets for diabetic nephropathy (DN) and ferroptosis-related gene sets were obtained from the Gene Expression Omnibus (GEO) database ...

Artificial intelligence-assisted spatial omics-based biomimetic nanoplatform for intelligent and precise intervention in the immunosuppressive core region of ovarian cancer.

Ovarian cancer (OC) ranks among the most aggressive malignancies of the female reproductive system. The immunosuppressive tumor microenvironment (TME) and pronounced spatial heterogeneity significantly restrict the efficacy of immunotherapy. Recent advances in single-cell omics and spatial transcriptomics (ST) have enabled the identification of immunosuppressive core regions within the TME at mole...

Lower Back Muscle Fatigue Recognition Based on the Fusion-Information of Multi-Channel sEMG and NIRS Simultaneous Recordings.

Accurate recognition of muscle fatigue in the lower back is essential for preventing low back pain and reducing the risk of occupational injuries. How...

AI-driven identification of a selective dual function inhibitor blocking HK2 activity and HK2-VDAC1 interaction displaying enhanced anticancer efficacy under hypoxia.

Selective inhibition of hexokinase 2 (HK2) represents a promising therapeutic strategy due to the pivotal role of HK2 in the Warburg effect, enhanceme...

Effect of a Computer-Aided Device for Detecting Gastric Neoplasms: A Multicenter, Randomized Controlled Trial.

BACKGROUND & AIMS: Evidence about the effect of artificial intelligence (AI) on upper endoscopy in multicenter, randomized controlled trials is lackin...

Preoperative Risk Score for Mortality Within 3 Years of Elective Aortobifemoral Artery Bypass.

BACKGROUND: The purpose of this study was to create a risk score for mortality within 3 years of elective aortobifemoral artery bypass for aortoiliac ...

Cross-validation strategies under data dependency: An example with anemia prediction in sheep using ocular conjunctiva images.

Computer vision techniques have been increasingly used in livestock farming for tasks such as animal identification and health monitoring, but their p...

Heterogeneous Multilayer Nanopores via Chemically Tuned Dielectric Breakdown for Single-Molecule Sensing.

Solid-state nanopores are powerful platforms for single-molecule sensing, yet their performance is often constrained by fabrication complexity, noise,...

Predictive divergence in machine learning models for clinical mortality risk: A multicohort study of covid-19 patients.

BACKGROUND: Machine learning (ML) algorithms are increasingly used in healthcare to support clinical decision-making. While models with similar overal...

Possible cross‑talk between sarcopenia and obstructive sleep apnea revealed by WGCNA analysis and machine learning.

BACKGROUND: Emerging evidence suggests a potential link between obstructive sleep apnea (OSA) and sarcopenia. OSA-induced hypoxia and sleep disturbanc...

Machine learning framework for early detection of polio outbreaks from acute flaccid paralysis surveillance data.

Poliomyelitis remains a global public health concern despite remarkable progress toward eradication. The continued circulation of vaccine-derived poli...

Comparison of the diagnostic performance of machine learning algorithms for differentiating iron deficiency anemia and thalassemia.

Pipeline-optimized machine learning for chronic fatigue syndrome diagnosis: A lightweight, interpretable model using blood biochemical and metabolomic data.

INTRODUCTION AND BACKGROUND: Chronic fatigue syndrome (CFS) is a debilitating multisystem disorder with persistent fatigue and functional impairment, ...

AI-Driven Internet of Things (IoT) dataset for remote health monitoring and fall detection in elderly people.

Many older adults live with one or more chronic conditions that require ongoing monitoring. At the same time, the aging population continues to grow, ...

Identifying neuromuscular and mental fatigue in elite youth table tennis players using machine learning.

Performance in table tennis is known to be affected by both mental and physical fatigue. However, accurately predicting a player's fatigue state remai...

Pharmacological stabilization of hypoxia-inducible factor 1-α dampens the interferon response and promotes glycolysis in Aicardi-Goutières syndrome.

Aicardi-Goutières syndrome (AGS) is a genetic type I interferon (IFN)-mediated disease characterized by neurological involvement with onset in utero o...

Harnessing Phase Separation for the Development of High-Performance Hydrogels.

Hydrogels are indispensable for the development of next-generation bioelectronics, soft robotics, and biomedical devices, where their mechanical prope...

DeepArousal-Net: A Multi-Block Recurrent Deep Learning Model for Proactive Forecasting of Non-Apneic Arousals From Multichannel PSG.

OBJECTIVE: This study aimed to develop a deep learning model capable of accurately forecasting non-apneic sleep arousals, which are brief awakenings t...

Spontaneous speech enables scalable digital phenotyping of physical functional deficits in aging.

The rising global burden of pathological aging engenders an urgent need for accessible tools enabling early detection of physical decline, which signi...

Data or Deception: Imposter Participants in Online Qualitative Research.

Online recruitment and data collection in qualitative research grew significantly during the COVID-19 pandemic, revealing a host of benefits including...