Anemia

Diaphragm-based microfluidic platforms for reconfigurable sample manipulation: from enrichment to activated sorting.

Precise manipulation of small sample volumes through enrichment, metering, routing, and selective sorting defines the analytical performance of microfluidic systems. While passive approaches such as deterministic lateral displacement and inertial microfluidics offer robust geometry-encoded separations and field-based techniques like dielectrophoresis, magnetophoresis, and acoustofluidics provide d...

Programmable Smart CAR-T design: A new paradigm in precision immunotherapy driven by logic gates, conditional activation, allogeneic strategies, and artificial intelligence.

Chimeric antigen receptor T-cell (CAR-T) therapy has achieved unprecedented success in hematological malignancies but faces formidable challenges in solid tumors. These limitations include severe "on-target, off-tumor" toxicity, antigen heterogeneity, and the immunosuppressive tumor microenvironment, where the dense extracellular matrix acts as a physical barrier hindering T-cell infiltration. To ...

Integrating AI design tools into traditional design workflows: A study on collaborative tool usage willingness based on the Push-Pull-Mooring framework.

In the context of rapid AI development, designers are increasingly integrating AI tools into traditional workflows, forming a collaborative rather tha...

Unraveling stress-adaptation pathways in cancer: Functional dissection through CRISPR-based genetic screens.

Cancer cells face a hostile microenvironment characterized by hypoxia, nutrient deprivation, endoplasmic reticulum (ER) stress, and oxidative imbalanc...

Impact of mobile phone use on the brain activity: Audio call vs video call.

The growing dependence on mobile phones for communication has raised concerns regarding the neurological impact of radio-frequency electromagnetic fie...

From PHQ-2 to PHQ-2W: Data-driven identification of depressed mood and fatigue for optimized weighted depression screening.

OBJECTIVE: This study aims to optimize depression screening tools through a data-driven approach, identifying the most predictive core item combinatio...

Defect-parameterized physics-informed neural network for forward and inverse modeling of laser ultrasonic wavefield.

Accurate and efficient non-destructive evaluation (NDE) techniques are essential for ensuring the structural integrity of metallic components, where s...

Machine learning in stroke and its sequelae: a narrative review of clinical applications and emerging trends.

OBJECTIVE: This narrative review synthesizes machine learning (ML) applications across the stroke and post-stroke continuum from acute imaging and dia...

Development of interfacial oxygen micro-nanobubble technology for hypoxia remediation: Machine-learning assisted optimization and mechanistic insights into sustained oxygen release.

Aquatic deoxygenation requires efficient and durable oxygenation strategies. Here, we developed a data-efficient framework that integrates regression ...

Time-resolved prediction of dental implant biomechanics through integration of finite element analysis, osseointegration dynamics, and deep learning.

BACKGROUND: Dental implant longevity depends on the complex interaction between mechanical stability and biological osseointegration. While finite ele...

Modulating tumor mechanics and vascular barriers to enhance chemotherapy efficacy in pancreatic tumors and melanoma.

Pancreatic ductal adenocarcinoma (PDAC) is characterized by a dense stroma and dysfunctional vasculature, limiting drug delivery and immune infiltrati...

Development of Automated High-Throughput Digital Microscopy With Deep Learning for Enhanced Blood Smear Imaging.

A microscope is essential in scientific and medical research, enabling the magnification of specimens too small for the naked eye. The conventional me...

Omics-based computational approaches for biomarker identification, prediction, and treatment of Long COVID.

Long COVID, or post-acute sequelae of COVID-19 (PASC), is a major global health problem, with cumulative estimates suggesting that around 400 million ...

FFTNet: fNIRS-based frequency-enhanced patch network for driving fatigue detection.

Functional near-infrared spectroscopy (fNIRS), with its ability to directly measure cerebral hemodynamic changes and advantages such as portability, n...

Integrative metabolomics and machine learning reveal diagnostic biomarkers for gelsenicine intoxication.

ETHNOPHARMACOLOGICAL RELEVANCE: Gelsemium elegans Benth. (G. elegans) is a highly toxic medicinal plant traditionally used to treat pain and inflammat...

DGPCNet: anemia detection from multimodal palm, fingernails, and eye conjunctiva images using deep global pyramid convolutional network.

BACKGROUND: Anemia is one of the most common hematological disorders causing fatigue, increased vulnerability to infection, low birth weight, and thre...

Pixel-scale satellite forecasting of cyanobacteria in Florida lakes.

Rapid proliferation of potentially toxin-producing cyanobacteria (cyanobacterial harmful algal blooms, cHABs) is a significant challenge for water res...

Toward Scalable Electromyography in Oncology: A Narrative Review of Normalization Challenges and Machine Learning Innovations.

OBJECTIVES: Electromyography (EMG) is increasingly applied in oncology to monitor neuromuscular impairment, treatment toxicities, and rehabilitation o...

Developing and Validating a Prediction Model for the Severe Pain-Fatigue-Sleep Disturbance Symptom Cluster in Patients with Lung Cancer Following Chemotherapy: A Machine Learning Analysis.

OBJECTIVES: Pain-fatigue-sleep disturbance symptom (PFS) cluster is the most common symptom cluster in patients with lung cancer following chemotherap...

The Application of Machine-Learning Algorithms for Multiclass Classification of Microcytic Anemia Revealed That a Minimum Required Number of Hematological Parameters Is Enough to Achieve High Diagnostic Accuracy.

INTRODUCTION: Thalassemia is a major global health concern, as declared by the World Health Organization (WHO). Accurate screening of heterozygotes is...