COVID-19

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 Integrity Testing using a Recurrent Neural Network with Long Short-Term Memory (RNN-LSTM) model. Conventional Low-Strain Integrity Testing (LSIT) accuracy relies significantly on expert interpretation of reflected wave signals and entails subjectivity as well as efficiency limitations. The purpose of thi...

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

The presented work investigates critical aspects of rational formulation design through machine learning (ML) methodology to identify essential patterns in immediate release ibuprofen oral dosage products influencing its pharmacokinetic profile. Registry data were extracted and standardized into a consistent format using pandas (v1.3.5) in Python 3.9, with special attention to variant nomenclature...

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 of biological and technical variation, typically ca...

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 DNA remain poorly understood. To address this, we...

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 subsidence, assessing flood vulnerability, and projec...

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

Epitopes are short antigenic peptide sequences that are recognized by antibodies or immune cell receptors. These are central to the development of imm...

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 dermatomyositis (DM) and polymyositis (PM) using Japanese admi...

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 flexible nature of PD-1 complicates rational antibody...

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 tested positive using conventional rapid antigen (...

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 well as contributions from other environmental an...

Evaluation of KU-F40 automated microscope for parasitology: when artificial intelligence meets old school microscopy.

Intestinal parasitic infections (IPIs) have a worldwide distribution and have a major impact on health, work capacity, and economy in many countries. ...

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 preeclampsia (EOPE), is closely associated with the immune...

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 encountered respiratory disease. Its clinical symptoms ar...

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 methods, including autonomous underwater vehicles (AU...

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

BACKGROUND: Cytomegalovirus (CMV) End-Organ Disease (EOD) remains a significant complication in immunocompromised individuals, particularly transplant...

Updates on Kidney Transplantation From the World Transplant Congress 2025.

The World Transplant Congress 2025 showcased pivotal advances shaping the future of transplantation. Global efforts to expand access to transplantatio...

Prehospital Blood Collection for High Sensitivity Cardiac Troponin Measurement in Patients with Acute Chest Pain.

OBJECTIVES: High sensitivity cardiac troponin (hs-cTn) measures are used in the emergency department (ED) to evaluate patients with acute chest pain. ...

Unraveling the Mechanistic Spectrum of Myhre Syndrome: SMAD4 Signaling Disruption, Skeletal Phenotypes, and Translational Innovation.

Myhre syndrome (MYHRS) is an ultra-rare, progressive multisystem disorder caused by recurrent heterozygous missense variants in the SMAD4 gene, a cent...

[Design and synthesis of molecularly imprinted polymers and their applications in medical diagnosis and biocatalysis].

Molecularly imprinted technology （MIT） represents an advanced synthetic strategy that emulates biological recognition mechanisms， such as antigen-anti...