AI Medical Compendium

The chronODE framework for modelling multi-omic time series with ordinary differential equations and machine learning.

Nature communications Aug 19, 2025

Many genome-wide studies capture isolated moments in cell differentiation or organismal development. Conversely, longitudinal studies provide a more direct way to study these kinetic processes. Here, we present an approach for modeling gene-expressio... read more

Brain Animals Single-Cell Analysis Neural Networks, Computer Machine Learning Chromatin Models, Genetic Kinetics Mice Multiomics

Validation of a new Implantable Collamer Lens sizing algorithm based on the Anterion swept source OCT images.

Journal of cataract and refractive surgery Aug 19, 2025

PURPOSE: To evaluate the performance of a novel deep learning-based Implantable Collamer Lens (ICL) sizing model that uses raw Swept-Source OCT images as input. read more

Enhanced air quality prediction using adaptive residual Bi-LSTM with pyramid dilation and optimal weighted feature selection.

Scientific reports Aug 19, 2025

In most industrial and urban regions, monitoring and safeguarding the air's purity is considered one of the most crucial tasks for government agencies. In numerous industrial and urban locations, preserving and tracking the condition of the air has b... read more

Factors that influence technophobia in Chinese older patients with ischemic stroke: a cross-sectional survey.

BMC geriatrics Aug 19, 2025

BACKGROUND: Older patients with ischemic stroke often have a large number of medical needs, technophobia refers to the irrational anxiety and fear of digital technologies such as mobile communication equipment, artificial intelligence and robots, res... read more

Self Efficacy Cross-Sectional Studies East Asian People Male Middle Aged Humans Social Support Aged China Female Surveys and Questionnaires Aged, 80 and over Fear Health Literacy Ischemic Stroke Phobic Disorders

Plasma interleukin-22 concentration and disease activity in inflammatory bowel disease.

Scientific reports Aug 19, 2025

The relationship between interleukin-22 and clinical characteristics of patients with inflammatory bowel disease is uncertain. We sought to determine whether plasma interleukin-22 concentrations are associated with disease activity in a large populat... read more

Crohn Disease Interleukin-22 Colitis, Ulcerative Interleukins Adult Male Middle Aged Severity of Illness Index Inflammatory Bowel Diseases Female Humans Prospective Studies Biomarkers

Comparative performance of deep learning architectures for diabetic peripheral neuropathy detection using corneal confocal microscopy: a retrospective single-centre study.

BMJ open Aug 19, 2025

OBJECTIVES: This study aims to develop a deep learning algorithm (DLA) using the InceptionV3 architecture for effective diabetic peripheral neuropathy (DPN) screening via corneal confocal microscopy (CCM) images. read more

Humans Algorithms Adult Retrospective Studies Cornea Female Deep Learning Aged Microscopy, Confocal Male Diabetic Neuropathies Middle Aged

Application of deep learning reconstruction at prone position chest scanning of early interstitial lung disease.

BMC medical imaging Aug 19, 2025

AIM: Timely intervention of interstitial lung disease (ILD) was promising for attenuating the lung function decline and improving clinical outcomes. The prone position HRCT is essential for early diagnosis of ILD, but limited by its high radiation ex... read more

Humans Male Prone Position Middle Aged Deep Learning Lung Diseases, Interstitial Female Prospective Studies Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Aged Tomography, X-Ray Computed

The role of descriptors extracted from ligand-target interaction to improve conventional QSAR model performance in the realm of angiogenesis receptor modulation to fight cancer.

Future medicinal chemistry Aug 19, 2025

AIMS: This study aims to develop a receptor-dependent 4D-QSAR model to overcome key limitations of traditional QSAR, including its dependency on molecular alignment and poor performance with small datasets, by integrating ligand - target interaction ... read more

Transforming sepsis management: AI-driven innovations in early detection and tailored therapies.

Critical care (London, England) Aug 19, 2025

Sepsis remains a leading cause of mortality worldwide, driven by its clinical complexity and delayed recognition. Artificial intelligence (AI) offers promising solutions to improve sepsis care through earlier detection, risk stratification, and perso... read more

Artificial Intelligence Precision Medicine Early Diagnosis Sepsis Humans

Longitudinal CE-MRI-based Siamese network with machine learning to predict tumor response in HCC after DEB-TACE.

Cancer imaging : the official publication of the International Cancer Imaging Society Aug 19, 2025

Artificial Intelligence Medical Compendium