Artificial Intelligence Medical Compendium

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

Showing 73,411 to 73,420 of 235,503 articles

A Hyperbolic Discrete Diffusion 3D RNA Inverse Folding Model for Functional RNA Design.

Journal of chemical information and modeling
Generative design of functional RNAs presents revolutionary opportunities for diverse RNA-based biotechnologies and biomedical applications. To this end, RNA inverse folding is a promising strategy for generatively designing new RNA sequences that ca... read more 

Data-Driven Optimization of Industrial Impact Polypropylene Characterization: Machine Learning Insights.

Journal of chemical information and modeling
The experimental determination of impact polypropylene (ICP) physical properties, such as tensile modulus, flexural modulus, and impact strength, is a time-sensitive process that can delay real-time decision making during industrial production. This ... read more 

CAML: Commutative Algebra Machine Learning─A Case Study on Protein-Ligand Binding Affinity Prediction.

Journal of chemical information and modeling
Recently, Suwayyid and Wei introduced commutative algebra as an emerging paradigm for machine learning and data science. In this work, we propose commutative algebra machine learning (CAML) for the prediction of protein-ligand binding affinities. Spe... read more 

Enhancing Monte Carlo Tree Search for Retrosynthesis.

Journal of chemical information and modeling
Computer-Assisted Synthesis Programs are increasingly employed by organic chemists. Often, these tools combine neural networks for policy prediction with heuristic search algorithms. We propose two novel enhancements, which we call eUCT and dUCT, to ... read more 

Machine Learning-Based Ensemble Predictive Model for Cardiovascular Disease Prevention.

The International journal of angiology : official publication of the International College of Angiology, Inc
Cardiovascular diseases (CVDs) are a primary cause of death globally, with an increasing incidence in India. Machine learning (ML) has emerged as a viable approach for CVD prediction; however, dataset size and generalizability limit model robustness.... read more 

Early breast cancer detection via infrared thermography using a CNN enhanced with particle swarm optimization.

Scientific reports
Breast cancer remains the most prevalent cause of cancer-related mortality among women worldwide, with an estimated incidence exceeding 500,000 new cases annually. Timely diagnosis is vital for enhancing therapeutic outcomes and increasing survival p... read more 

Tailored travel medicine: advancing personalised travel risk assessment through decision support tools.

Journal of travel medicine
This editorial explores how clinical decision support systems, artificial intelligence, and behavioural profiling can enable personalised travel health advice, transitioning from static checklists to dynamic, traveller-specific recommendations that s... read more 

Perovskite Neuromorphic Engine for Transformer Architectures.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Memristive computing refers to the hardware implementation of artificial neural networks (ANNs) by employing memristive devices. It supports analog multiply-and-accumulation (MAC) operation in a compact and highly parallel manner, which can significa... read more 

A Machine Learning Approach to Microcalorimetric Pattern Classification of Pathogens in Synovial Fluid.

Journal of orthopaedic research : official publication of the Orthopaedic Research Society
Isothermal microcalorimetry (IMC) is a promising tool for diagnosing periprosthetic joint infection (PJI), based on real-time measurement of growth-related heat production of pathogens, and faster than conventional microbial cultures. However, the fe... read more