Artificial Intelligence Medical Compendium

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

Showing 57,021 to 57,030 of 227,153 articles

Multi-omics deep learning improves FDG PET-CT-based long-term prognostication of breast cancer.

NPJ precision oncology
[18F] fluorodeoxyglucose positron emission tomography - computed tomography (FDG PET-CT) is increasingly used for staging of breast cancer in the primary and recurrent setting, as well as in evaluating treatment response and in follow-up. Quantitativ... read more 

Benchmarking deep learning models for predicting anticancer drug potency (IC50) with insights for medicinal chemists.

Communications chemistry
Potency (IC50) prediction of small molecules is pivotal for anticancer drug development. This study benchmarked five deep learning (DL) models for IC50 prediction-DeepCDR, DrugCell, PaccMann, Precily, and tCNN-against a simple mean-based Baseline usi... read more 

Scale abbreviation with supervised machine learning: A comparison of feature selection techniques.

Behavior research methods
Scale abbreviation is a crucial task for researchers aiming to reduce response burden and optimize data collection when using self-report instruments such as online surveys and questionnaires. Among various data-driven strategies available for scale ... read more 

Early Outcomes of Intravitreal Aflibercept 8 mg in Eyes Previously Treated with Aflibercept 2 mg for Neovascular Age-Related Macular Degeneration with AI-Based Biomarker Quantification.

Ophthalmology and therapy
INTRODUCTION: To evaluate the early outcomes of aflibercept 8 mg (afl8) treatment in patients with neovascular age-related macular degeneration (nAMD) previously treated with aflibercept 2 mg (afl2). METHODS: A retrospective, observational, monocentr... read more 

AI-enabled, QbD-aligned Predictive, and Sustainable Design of Natural Polymer-based Drug Delivery Systems.

AAPS PharmSciTech
Natural polymers such as chitosan, alginate, cellulose, gelatin, and silk fibroin have become central to modern drug delivery research due to their biocompatibility, biodegradability, and environmental sustainability. However, variability in source, ... read more 

Construction of a risk model based on exosome-related genes predict clinical prognosis and therapeutic response and revealing TIMP1 as a promising target in colorectal cancer.

Human cell
Various exosome-derived proteins have been reported to play essential roles in regulating colorectal cancer progression and affecting the prognosis of cancer patients. It is necessary to explore the critical exosome-related genes in colorectal cancer... read more 

HRD-Informed Digital Histology Model for Predicting Platinum Chemo-Response and Prognosis in High-Grade Serous Ovarian Cancer.

Interdisciplinary sciences, computational life sciences
Homologous recombination deficiency (HRD) is a critical biomarker in high-grade serous ovarian cancer for the clinical benefit from platinum-based chemotherapy and poly polymerase inhibitors, but molecular testing is costly, time-consuming, and limit... read more 

Machine learning-guided Nano-QSAR modeling predicts HepaRG cell membrane toxicity of engineered nanoparticles with mechanistic insights.

Cell biology and toxicology
Engineered nanoparticles (ENPs), defined as nanoscale materials with at least one dimension between 1 and 100 nm, exhibit multifunctional and tunable physicochemical properties, that are at the center of several innovative fields. However, ENPs may i... read more