AI Medical Compendium

Unveiling the impact of bisphenol a exposure on gene expression and immune response in diabetic nephropathy through integrative toxicogenomics and molecular dynamics approaches.

Diabetology & metabolic syndrome Aug 18, 2025

BACKGROUND: Bisphenol A (BPA) exposure has been implicated in various health issues, including diabetic nephropathy (DN). Understanding the molecular mechanisms underlying BPA-induced DN is crucial for developing effective therapeutic strategies. read more

Overview of Multimodal Radiomics and Deep Learning in the Prediction of Axillary Lymph Node Status in Breast Cancer.

Academic radiology Aug 18, 2025

Breast cancer is the most prevalent malignancy in women, with the status of axillary lymph nodes being a pivotal factor in treatment decision-making and prognostic evaluation. With the integration of deep learning algorithms, radiomics has become a t... read more

Predicting cancer mortality using machine learning methods: a global vs. Iran analysis.

BMC cancer Aug 18, 2025

BACKGROUND: Cancer remains a leading cause of morbidity and mortality worldwide, with significant variations in incidence, mortality, and survival rates across regions. This study leverages Machine Learning (ML) to analyze global and Iran-specific ca... read more

Human augmentation to deliver an enhanced and resilient people capability for Defence.

BMJ military health Aug 18, 2025

From first tools, to flight, to advances in medicine and biotechnology, enhancing our innate abilities has been a constant goal and militaries the world over have long sought to advance the limits of human performance in their warfighters. Human augm... read more

Beyond the surface of capacity building: a mixed-methods study of the core functions and forms of dissemination and implementation science consultations.

Implementation science communications Aug 18, 2025

BACKGROUND: The number of Dissemination and Implementation Science (DIS) capacity building programs is increasing worldwide. These programs aim to enhance diverse DIS skills through a variety of activities. Our team's systematic review of DIS program... read more

A review of landfill odors assessment: Advancing from stationary measurement to spatiotemporal monitoring.

Waste management (New York, N.Y.) Aug 18, 2025

Odor issues from landfills remain a persistent environmental challenge, exacerbated by the increasing urbanization and the decreasing proximity of residential areas to waste disposal sites. Conventional odor measurement methods (e.g., olfactometry, g... read more

Development and validation of a machine learning model for prediction of cephalic dystocia.

BMC pregnancy and childbirth Aug 18, 2025

BACKGROUND: Early detection of cephalic dystocia is challenging, and current clinical assessment tools are limited. Machine learning offers unique advantages, enabling the generation of predictive models using various types of clinical data. Our mode... read more

Genetic Rare Disease Prevention and Control: Family-Based Screening and Reproductive Interventions in Changsha.

HGG advances Aug 18, 2025

Rare diseases pose a significant public health challenge, particularly in underserved regions such as China, where genomic diagnostic services and post-diagnosis management remain limited. This study assessed the effectiveness of a rare disease scree... read more

Assessing the transferability of BERT to patient safety: classifying multiple types of incident reports.

BMJ health & care informatics Aug 18, 2025

OBJECTIVE: To evaluate the transferability of BERT (Bidirectional Encoder Representations from Transformers) to patient safety, we use it to classify incident reports characterised by limited data and encompassing multiple imbalanced classes. read more

Humans Neural Networks, Computer Patient Safety Australia Risk Management Medical Errors

Multimodal prediction of tyrosine kinase inhibitors therapy outcomes in advanced EGFR-mutated NSCLC patients.

Journal of translational medicine Aug 18, 2025

BACKGROUND: Tyrosine kinase inhibitors (TKIs) targeting epidermal growth factor receptor (EGFR) are effective first-line treatments for advanced non-small-cell lung cancer (NSCLC) patients with EGFR mutations. However, some patients do not respond we... read more

Artificial Intelligence Medical Compendium