AI Medical Compendium

Identification of Novel Non-coding Genetic Variants of Serum Urate Using Whole Genome Sequencing in 7,339 Chinese.

Arthritis & rheumatology (Hoboken, N.J.) Mar 24, 2026

OBJECTIVE: To investigate the genetic architecture of low-frequency and rare variants of serum urate (SU) in East Asian populations, aiming to clarify its role as a heritable and modifiable risk factor for gout and cardiometabolic diseases. METHODS: ... read more

The plastisphere as a nexus for antimicrobial resistance: micro(nano)plastics in pathogen colonization, gene transfer, and global health risks.

Biological reviews of the Cambridge Philosophical Society Mar 24, 2026

Microplastics (MPs) and nanoplastics (NPs) have emerged as pervasive vectors of antimicrobial resistance (AMR), with the plastisphere being a microbial niche on plastic surfaces acting as a nexus for pathogen colonization, gene transfer, and global h... read more

Evaluating the Role of Artificial Intelligence in Enhancing Multidisciplinary Team Decisions for Breast Cancer Management.

European journal of breast health Mar 24, 2026

OBJECTIVE: Multidisciplinary teams (MDTs) are essential for optimizing breast cancer treatment, yet the role of general-purpose artificial intelligence (AI), such as ChatGPT, in supporting these teams remains underexplored. This study compared ChatGP... read more

A deep learning pipeline for mapping in situ network-level neurovascular coupling in multi-photon fluorescence microscopy.

eLife Mar 24, 2026

Functional hyperemia is a well-established hallmark of healthy brain function, whereby local brain blood flow adjusts in response to a change in the activity of the surrounding neurons. Although functional hyperemia has been extensively studied at th... read more

Reclaiming the writing process using AI: a scaffolded writing assignment that promotes critical thinking, reflection, and accountability.

Journal of microbiology & biology education Mar 24, 2026

As the educational landscape changes with the widespread use of generative artificial intelligence (AI), we have made the deliberate choice to adapt with intention through the constructive integration of this tool within the curriculum. Writing assig... read more

Decoding the Heart Failure Peptidome.

Circulation. Heart failure Mar 24, 2026

BACKGROUND: Peptides such as angiotensin II and brain natriuretic peptide are pivotal in diagnosing and treating heart failure (HF). However, unbiased systematic studies of the peptidome in patients with HF are lacking. Deciphering the plasma peptido... read more

Imaging-Based Prediction of Key Breast Cancer Biomarkers Using Deep Learning on Digital Breast Tomosynthesis.

European journal of breast health Mar 24, 2026

OBJECTIVE: To evaluate the feasibility of using deep learning models applied to digital breast tomosynthesis (DBT) images for non-invasive prediction of breast cancer biomarkers, including estrogen receptor (ER), progesterone receptor (PR), human epi... read more

Digital diagnostics, biomarkers and therapeutics in an evolving healthcare system: From promise to practice.

British journal of clinical pharmacology Mar 24, 2026

Health care is shifting towards a digital-guided system, integrating digital diagnostics, biomarkers and therapeutics in many care pathways. However, despite rapid technological advancement and preliminary adoption accelerated by the COVID-19 pandemi... read more

Physics-Guided Machine Learning for Ionic-Liquid Volumetric Properties.

Journal of chemical information and modeling Mar 24, 2026

Accurate modeling of the volumetric behavior of ionic liquids (ILs) is crucial for guiding the design of electrolytes for energy storage and other chemical systems. While classical group contribution methods (GCMs) are grounded in thermodynamic theor... read more

On the utility of Deep Learning for model classification and parameter estimation on complex diversification scenarios.

Systematic biology Mar 24, 2026

Birth-Death models applied to dated phylogenies are useful tools to study past diversification dynamics. Parameters in these stochastic models are typically inferred using likelihood-based methods; however, these approaches can exhibit computational ... read more

Artificial Intelligence Medical Compendium