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Effect of Brain-Computer Interface-Controlled Ankle Robot Training on Post-Stroke Motor Rehabilitation and Resting QEEG Neuroplasticity: A Randomized Controlled Trial.

BACKGROUND: Persistent post-stroke ankle impairment hinders functional recovery. Brain-computer inte...

Development of retrieval-augmented generation-based large language model for drug-induced liver injury using Livertox data.

BACKGROUND: Idiosyncratic DILI is a complex clinical challenge requiring timely and accurate decisio...

Automatic field-of-view planning for magnetic resonance shoulder imaging using Deep Learning.

INTRODUCTION: Accurate prescription of oblique coronal and oblique sagittal field of views (FOV) is ...

Mediated Electrochemical Probing and Machine Learning for Cysteine and Reduced Monoclonal Antibody Quantification.

Biopharmaceutical manufacturing requires robust analytics and process controls throughout production...

AP-Lab: An AI-Driven Autonomous Pilot-Scale Platform Bridging Materials Discovery and Industrial Manufacturing.

Artificial intelligence (AI) has accelerated materials discovery, yet its translation to industrial ...

Recurrent neural network long short term memory model to detect the pile toe using raw data of pile integrity test.

This article proposes a novel approach to automatically generate velocity reflectogram of Pile Integ...

Rational formulation design through retrospective machine learning methodology: Case study ibuprofen.

The presented work investigates critical aspects of rational formulation design through machine lear...

Accelerating rare disease diagnostics by linking DNA and RNA through an explainable and interactive RNA-guided workflow.

Challenges preventing mainstream use of RNA-sequencing (RNA-seq) in genome diagnostics are sources o...

Silencer variants are key drivers of gene up-regulation in Alzheimer's disease.

The genetic mechanisms of ~90% of Alzheimer's disease (AD)-associated variants residing in noncoding...

Predicting coastal subsidence and sea-level scenarios in the Sundarbans Delta using InSAR and artificial intelligence for sustainable coastal management.

This study presents an integrated geospatial-InSAR-machine learning framework for analyzing land sub...

epiGPTope: A Machine Learning-Based Epitope Generator and Classifier.

Epitopes are short antigenic peptide sequences that are recognized by antibodies or immune cell rece...

Multicentre development and validation of data-driven claims-based algorithms for identifying dermatomyositis and polymyositis in Japan.

OBJECTIVE: To develop and validate data-driven algorithms for identifying patients with dermatomyosi...

Computational Evolution of Anti-PD-1 Antibodies Induces Structural Refolding for High-Affinity Interactions.

Checkpoint inhibitors targeting the PD-1/PD-L1 axis are key immunotherapies, but the dynamic and fle...

Infectious disease diagnosis by artificial intelligence (AI): Differences in patient backgrounds and symptoms between antigen test positives and novel AI-powered pharyngeal endoscopy test positives.

This study aimed to identify differences in patient background and symptoms between individuals who ...

Integrating environmental factors and genetic variants in machine learning to assess occupational noise impact on health.

Noise-induced hearing loss (NIHL) is a complex disorder arising from the interplay between noise, as...

HLA-DPA1 as a diagnostic biomarker differentiating early- and late-onset preeclampsia.

The occurrence and development of a wide range of preeclampsia (PE), especially early-onset preeclam...

Integrating deep learning with physics based modeling enables high precision antibody antigen interface prediction.

Inhibition of the p38/JNK MAPK pathway mediated by circadian rhythm genes: Study of the mechanism of Linggan Wuwei Jiangxin decoction in the treatment of COPD.

ETHNOPHARMACOLOGICAL RELEVANCE: Chronic obstructive pulmonary disease (COPD) is a frequently encount...

Cost-effective ecological monitoring in shallow waters using amphibious unmanned aerial vehicles (AUAV) and deep learning-based computer vision.

Traditional marine monitoring techniques, like line intercept transects, are inefficient. Modern met...

A machine learning model for accurate prediction of CMV end-organ disease.

BACKGROUND: Cytomegalovirus (CMV) End-Organ Disease (EOD) remains a significant complication in immu...

Updates on Kidney Transplantation From the World Transplant Congress 2025.

The World Transplant Congress 2025 showcased pivotal advances shaping the future of transplantation....