AI Medical Compendium

GWAS and genomic prediction of crown rust resistance in the southern US elite oat (Avena sativa L.) germplasm.

The plant genome Jun 1, 2026

Crown rust (CR), caused by Puccinia coronata f. sp. avenae, is a major constraint to oat (Avena sativa L.) production in the southern United States. We dissected the genetic architecture of CR resistance and assessed genomic prediction in 234 winter ... read more

Digital Health in Midwifery Practice: A Qualitative Review of Midwives' Experiences and Perceptions.

International nursing review Jun 1, 2026

AIM: To synthesize qualitative evidence on midwives' experiences and perceptions regarding the use of digital health technologies in clinical maternity care. BACKGROUND: Although digital health technologies are rapidly transforming maternity care, th... read more

A Cross-Disease Microglial Transcriptional Program Characterizes Neurodegeneration and Highlights SPP1 as a Biomarker.

Glia Jun 1, 2026

Microglial cells are key players in maintaining brain homeostasis and responding to pathological conditions. Their multifaceted roles in health and disease have garnered significant attention in the context of neurodegeneration. In recent years, sing... read more

Applying natural language processing and large language models to clinical notes for phenotyping and diagnosing rare diseases: a systematic review.

Journal of the American Medical Informatics Association : JAMIA Jun 1, 2026

OBJECTIVES: Patients with rare diseases often face long delays before receiving a diagnosis. Using electronic health records for automated phenotyping and diagnosis of rare diseases is a promising approach but can be challenging because critical info... read more

Input Layer Regularization and Automated Regularization Hyperparameter Tuning for Myelin Water Estimation Using Deep Learning.

NMR in biomedicine Jun 1, 2026

We present a deep learning framework that combines classical regularization and data preprocessing to improve estimation of the myelin water fraction (MWF) in the brain from magnetic resonance relaxometry data. The proposed method is developed within... read more

Prediction of Skeletal Muscle Mass Measured by Bioelectrical Impedance Analysis in Older Adults Using Anthropometric Data.

Australasian journal on ageing Jun 1, 2026

OBJECTIVE: Accurate estimation of skeletal muscle mass is a key component in the screening for sarcopenia. Anthropometric parameters provide a non-invasive, cost-effective alternative, yet their predictive capability can be enhanced with machine lear... read more

ConvCGP: A convolutional neural network to predict genetic values of agronomic traits from compressed genome-wide polymorphisms.

The plant genome Jun 1, 2026

The growing size of genome-wide polymorphism data in animal and plant breeding has raised concerns regarding computational load and time, particularly when predicting genetic values for target traits using genomic prediction. Several deep learning an... read more

How to Teach Generative Artificial Intelligence in Undergraduate Medical Education.

The clinical teacher Jun 1, 2026

Generative artificial intelligence (AI) refers to computational systems capable of analysing data, recognising patterns and generating outputs that may support decisions. In healthcare, AI has the potential to improve diagnostic accuracy and provide ... read more

Unraveling the Dynamics of Oxytocin in Hypothalamic Neurons.

Traffic (Copenhagen, Denmark) Jun 1, 2026

Oxytocin plays a critical role in social behavior and maternal physiology, yet the intracellular dynamics of oxytocin-containing vesicles in neurons remain poorly characterized. Here, we combine experimental data from live cell imaging of oxytocin-co... read more

Leveraging clinical epidemiology concepts to strengthen machine learning fairness evaluations.