Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 1 to 10 of 213,137 articles

ANGPTL4 in gestational diabetes: a diagnostic biomarker linked to placental senescence.

Functional & integrative genomics Jul 23, 2026
Current diagnostic methods for Gestational Diabetes Mellitus (GDM) inadequately reflect early placental pathophysiology. Accelerated cellular senescence in trophoblasts has been reported as a pathological feature associated with the GDM placenta. How... read more 

The use of artificial intelligence and machine learning to predict tumor recurrence in high-grade gliomas: a systematic review.

Neurosurgical review Jul 23, 2026
High-grade gliomas (HGGs) are aggressive tumors with a propensity for recurrence. Despite standardized therapies, definitive treatment is elusive. Advancements in artificial intelligence (AI) and machine learning (ML) can potentially identify recurre... read more 

Precise DNA base editing using AlphaFold3-based contact modelling.

Nature Jul 22, 2026
Achieving high specificity in biochemical transformations is crucial for research and therapeutics. This is particularly important for genome editing, where enhancing tool specificity ensures effective and precise editing outcomes1,2. Current strateg... read more 

Artificial intelligence in impurity prediction: current landscape, challenges, and future directions.

Journal of computer-aided molecular design Jul 23, 2026
Earlier identification, regulation of impurities in pharmaceutical products is critical throughout the medication development process because they have a high impact on drug quality, safety, and regulatory approval. Traditional analytical methods lik... read more 

Embodied reinforcement learning in the primate cortico-basal ganglia system

bioRxiv Jul 23, 2026
Learning the value of environmental stimuli from reward experience allows animals to make advantageous choices. Existing biological accounts of reinforcement learning (RL) often assume that this value is represented as a single, motor-system-invarian... read more 
neuroscience

Validation of clinical diagnosis and machine learning classification of cognitive impairment

medRxiv Jul 22, 2026
INTRODUCTION: Cognitive syndrome diagnosis (Normal, Mild Cognitive Impairment (MCI), Dementia) is important for summarizing disease status and predicting future progression. Machine learning approaches to classification might substitute for or comple... read more 
neurology

Plasma Metabolite Associations with Incident Heart Failure with Reduced and Preserved Ejection Fraction

medRxiv Jul 22, 2026
Background: Prior studies on metabolite associations with incident heart failure (HF) used billing code-based definitions and lacked the data on left ventricular ejection fraction needed to determine associations with HF with reduced (HFrEF) and pres... read more 
genetic and genomic medicine

A Multimodal Multiomics Machine Learning (MMM) approach for biomarker discovery and acceleration of clinical trial readiness for childhood-onset neurological disorders

medRxiv Jul 22, 2026
Background Childhood neurodegenerative disorders are usually rare, genetic, and life-limiting. Whilst targeted approaches present huge potential, significant hurdles include disease rarity, geographical dispersion of patients, funding, clinical trial... read more 
neurology

VN1K is a pangenome-informed multi-omics and phenomics resource for the Vietnamese population.

Nature communications Jul 22, 2026
The population of Vietnam remains underrepresented in global genomic databases. Here, we present VN1K, a resource of multi-omics and phenotypic information for 1011 unrelated Vietnamese individuals. We present high-depth short-read whole-genome seque... read more 

Deep Learning-Driven Anticancer Drug Discovery: Emodepside as a Potential Therapeutic Candidate for Triple-Negative Breast Cancer.

Journal of chemical information and modeling Jul 22, 2026
Triple-negative breast cancer (TNBC) is an aggressive breast cancer subtype with a poor prognosis. The absence of effective targeted therapies and endocrine treatment options leads to limited therapeutic options, which remains one of the major clinic... read more 
Popular Topics
Recent Journals