COVID-19

CTE has multiple pathologic variants that might relate to different clinical symptom presentation.

Chronic traumatic encephalopathy (CTE) is a progressive neurodegenerative disease found in individuals with a history of repetitive head injury (RHI) received through playing contact sports. Currently, CTE can only be diagnosed after death through the identification of perivascular neuronal hyperphosphorylated tau (pTau) pathology, found at the depth of the cortical sulcus. Although the pathognomo...

Noninvasive Electrophysiological Biomarkers of Olfactory Responses Across Cognitive States in Alzheimer Dementia: Cross-Sectional Study.

BACKGROUND: Alzheimer disease (AD) is characterized by progressive cognitive decline, with olfactory dysfunction emerging among its earliest symptoms. Conventional olfactory tests rely on subjective self-reports and patient cooperation, limiting their clinical applicability. Noninvasive olfactory bulb (OB) recordings may provide objective physiological measures for early detection of cognitive dec...

High-throughput machine learning-aided antibody discovery for cell surface antigens.

Machine learning (ML) has the potential to revolutionize antibody design and selection, but its success depends on access to well-curated datasets of ...

Developing machine learning models for fluid milk spoilage classification.

The dairy as well as other food industries face major challenges as retirement of experienced staff members can lead to substantial knowledge and skil...

Partially occluded weed classification using vision transformers and convolutional neural networks for precision agriculture.

Automated weed detection is essential for site-specific herbicide application, that can result into the reduced environmental footprint of conventiona...

High-resolution UAV imagery-based instance segmentation for automatic counting of rubber trees across phenological seasons.

Accurate counting of rubber trees is important for yield estimation, refined field management, and the sustainable development of the rubber industry....

Integrating host mRNA signatures and clinical trajectories with machine learning for risk stratification and survival prediction in sepsis: an ICU-based prospective cohort study.

BACKGROUND: Sepsis remains a leading cause of death in critically ill patients. Host mRNA biomarkers may provide complementary biological information ...

Graphylo Var: Predicting the impact of non-coding variants using a multi-species sequence model.

MOTIVATION: Understanding the functional impact of genetic variants is a key problem for precision medicine. Tools like CADD, PhyloP, and PhastCons ar...

PCT-Anchored Machine Learning for Pre-Culture Identification of Gram-Negative Sepsis in Children: A Four-Site Study.

OBJECTIVE: Procalcitonin (PCT) has moderate accuracy for bacteremia detection but is infrequently used in pediatric emergency departments, partly due ...

Accelerating drug discovery with mass spectrometry-driven bioanalytical innovations and beyond.

The emergence of structurally complex therapeutic modalities, including bispecific antibodies, antibody-drug conjugates, fusion proteins, incretins, r...

Evaluating Synthetic Anterior Segment Images for Transferable Eye Disease Recognition.

OBJECTIVE: To evaluate whether prompt-driven synthetic anterior segment disease (ASD) images preserve disease-relevant semantics for transferable ASD ...

How does AI literacy empower decision-making quality? The mediating role of employee-AI collaboration and the moderating role of AI trust.

This study explored the relationship between Artificial Intelligence (AI) literacy and decision-making quality, with employee-AI collaboration serving...

Gold detection from printed circuit boards for eco-friendly e-waste recycling.

Electronic waste is the fastest-growing waste stream in the world and contains valuable materials such as plastics and precious metals, such as gold. ...

Evaluating the play fighting of rats: A sociological perspective.

BACKGROUND: Play fighting is a prominent social behavior in juvenile rats and is widely used to assess social motivation, affect, and neurobiological ...

VariantMedium: sensitive and generalizable somatic point mutation calling with 3D DenseNets trained and evaluated on experimental data.

BACKGROUND: Accurately identifying somatic variants from genomic sequencing is crucial for understanding and treating cancer. Previously, methods base...

Deep learning-based pressure injury staging: a multicentre study involving 59 hospitals.

BACKGROUND: Accurate assessment of pressure injury staging is essential for guiding appropriate care, reducing patient suffering, alleviating the heal...

AI-driven cellular immunotherapy: transforming CAR-T engineering and translation.

Chimeric antigen receptor T (CAR-T) cell therapy has demonstrated remarkable success in hematologic malignancies but faces persistent challenges in so...

Engineered HSP90-MP65 Bivalent Fusion Antigen: A Novel Vaccine Candidate Against Invasive Candidiasis.

Invasive candidiasis represents a critical global health challenge, causing approximately 6.5 million bloodstream infections annually with mortality r...

Generating Synthetic MR Perfusion Maps From DWI and FLAIR in Acute Ischemic Stroke: Development and External Validation of a Deep Learning Model.

BACKGROUND: Magnetic resonance imaging (MRI) is critical for acute stroke triage, but it is time-consuming and often requires contrast injection for p...

Medical Consultation and HIV Testing After AI-Based Symptom Check: Retrospective Cohort Study.

BACKGROUND: Promoting early HIV testing and patient detection is an important public health goal. In Japan, approximately 30% of the population is dia...