Artificial Intelligence Medical Compendium

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

Showing 42,421 to 42,430 of 223,853 articles

Advancing cell and gene therapy: Application of AI/ML in clinical development and patient management.

Journal of biopharmaceutical statistics
This article explores the transformative potential of artificial intelligence (AI) and machine learning (ML) in advancing cell and gene therapy (CGT) development, with an emphasis on chimeric antigen receptor (CAR) T-cell therapy. We examine how AI/M... read more 

Text Mining of CVD Synthesis Recipes for 2D Materials.

Advanced materials (Deerfield Beach, Fla.)
A vast amount of scientific knowledge is embedded in journal articles as unstructured text, creating challenges for efficiently extracting detailed insights. Traditionally, expert-authored reviews summarize research progress, but they often struggle ... read more 

From Spent Batteries to Green Hydrogen: Catalytic Upcycling of Lithium-Ion Battery Cathodes for Water Electrolysis.

Advanced materials (Deerfield Beach, Fla.)
The accelerating global "dual-carbon" transition and the rapid proliferation of electric vehicles are driving an unprecedented surge in spent lithium-ion batteries (LIBs), with the first major retirement peak expected around 2030. Cathode materials f... read more 

Machine-Learning-Assisted Screening of Electrolyte Additives for Aqueous Zinc-Ion Batteries via a Molecular Descriptor Framework.

Angewandte Chemie (International ed. in English)
Additive engineering in aqueous zinc-ion batteries is recognized as a key strategy for improving zinc anode stability. Nevertheless, the conventional trial-and-error screening approach is inefficient, which significantly hinders commercialization pro... read more 

Comparative Performance of 3 Artificial Intelligence Systems for Lung Nodule Characterization in Low-Dose Computed Tomography Screening.

Journal of thoracic imaging
PURPOSE: This study evaluates 3 artificial intelligence (AI) systems in detecting, characterizing, and classifying lung nodules on low-dose computed tomography (LDCT) scans of 100 subjects, assessing agreement with a reference standard and inter-vend... read more 

Unravelling the Catalytic Activity of Dual-Metal Doped N6-Graphene for Sulfur Reduction via Machine Learning-Accelerated First-Principles Calculations.

Small (Weinheim an der Bergstrasse, Germany)
Mitigating polysulfide shuttling and sluggish redox kinetics is crucial for the practical utilization of lithium-sulfur batteries (LSBs). Using first-principles density functional theory calculations, we investigate a series of N6-coordinated dual-at... read more 

Machine learning-driven molecular engineering of nucleic acids.

Chemical Society reviews
Molecular engineering has played a pivotal role in biomedical fields, driving significant advancements in gene therapy, disease diagnosis, and biosensing. However, nucleic acid molecular engineering faces various challenges including vast design spac... read more 

Early detection of Alzheimer's disease based on leveraging multimodal features of the clock drawing test.

Journal of Alzheimer's disease : JAD
BackgroundAlthough multi-task handwriting analysis has the potential to improve early detection of Alzheimer's disease (AD), the educational bias inherent in its text-based tasks poses a significant obstacle to its widespread adoption across differen... read more 

Detecting multimorbidity patterns in Alzheimer's disease using unsupervised machine learning: A nationwide emergency department study (2007-2022).

Journal of Alzheimer's disease : JAD
BackgroundAlzheimer's disease (AD) patients frequently present to emergency departments (EDs) with complex comorbidities that complicate triage and management. Yet, little is known about how these multimorbidity patterns have evolved over time.Object... read more