Artificial Intelligence Medical Compendium

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

Showing 46,721 to 46,730 of 224,199 articles

A Bottom-Up Design Framework for Multifunctional Lattice Metamaterials.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Driven by the demands of light weighting, multifunctionality has become increasingly important in the design of lattice metamaterials. While inverse design is crucial for developing such lattice structures, traditional inverse design methods such as ... read more 

Peroxidase-Mimicking Nanozymes for Rapid Detection of Infectious Diseases.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Infectious diseases pose a critical global health threat, and rapid and sensitive diagnostics are essential for effective intervention. Conventional methods are often slow, costly, and require centralized instrumentation and trained personnel, limiti... read more 

TwistDAN: Twisted Domain Adversarial Network for Synthetic Accessibility Assessment.

Journal of chemical information and modeling
Synthetic accessibility (SA) prediction guides which computationally designed molecules warrant experimental synthesis during early-stage hit identification and lead optimization. Current SA predictors achieve high accuracy on training data but fail ... read more 

Right and Left Atrial Dysfunction as Independent Cardiovascular Risk Factors: A UK Biobank Study.

Circulation. Arrhythmia and electrophysiology
BACKGROUND: Atrial cardiopathy often precedes atrial fibrillation (AF) and has emerged as an independent risk factor for cardiovascular outcomes. However, previous studies have been limited in size and have overlooked the right atrium. METHODS: In 51... read more 

Predicting Nocturnal Hypertension in CKD Through Table-Value Diffusion Model.

Hypertension (Dallas, Tex. : 1979)
BACKGROUND: Ambulatory blood pressure monitoring is indispensable for diagnosing nocturnal hypertension (NH) among patients with chronic kidney disease, but it is costly and time-consuming. Screening tools for predicting high-risk NH are urgently nee... read more 

Shaping the future of clinical trials through strategic foresight.

Clinical trials (London, England)
BACKGROUND/AIMS: Global megatrends, including population growth, interconnectedness and artificial intelligence, are already shaping the clinical trials industry, and will do so for decades to come. Innovations from technology companies, greater coll... read more 

Can ChatGPT effectively generate abstracts in orthopedic surgery? A comparative analysis between human-written and ChatGPT-generated scientific abstracts.

Postgraduate medical journal
BACKGROUND: Despite growing interest in using Chat-based Generative Pre-trained Transformer (ChatGPT) for academic writing, limited evidence exists regarding its ability to generate abstracts that are structurally compliant and ethically acceptable i... read more 

Generative Modeling of Entangled Polymers with a Distance-Based Variational Autoencoder.

Journal of chemical theory and computation
We present a variational autoencoder framework for learning and generating configurations of structured polymer globules from distance matrices. We used coarse-grained molecular dynamics to sample polyethylene structures, which we used as the trainin... read more 

An integrative omics-machine learning framework for predicting pulmonary responses to titanium dioxide nanoparticles.

Nanoscale
We address the challenge of leveraging complex lung transcriptomic data for nanosafety by re-optimizing the Transcriptomic Response Index (TRI) as a single, New Approach Methodology (NAM)-ready omics endpoint for instilled titanium dioxide nanopartic... read more 

NeuroMDAVIS: Visualization of Single-Cell Multi-Omics Data under Deep Learning Framework.

Journal of computational biology : a journal of computational molecular cell biology
Single-cell technologies have favored extensive advancements in cell-type discovery, cell state identification, development of lineage tracing, and disease understanding among others. Further, single-cell multi-omics data generated using modern techn... read more