Artificial Intelligence Medical Compendium

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

Showing 51,461 to 51,470 of 225,182 articles

Screening for novel chemical scaffolds targeting PCNA identifies the Hsp90alpha inhibitor SNX-2112.

Current research in structural biology
Proliferating cell nuclear antigen (PCNA) protein is an emerging therapeutic target for several diseases including cancers, and certain viral infections. It was previously regarded as being undruggable, due to its functions as a molecular hub that re... read more 

PadelTracker100: A dataset for intelligent player and ball tracking in padel sports.

Data in brief
Advancements in computer vision and deep learning have revolutionized sports video analysis, enabling automated and precise data labeling. However, these technologies rely heavily on high-quality annotated datasets, which are essential for training s... read more 

A rapid diagnostic approach for COPD utilizing multimodal serum spectra integrated with machine learning algorithms.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Chronic Obstructive Pulmonary Disease (COPD) is a major global respiratory illness causing death and disability. Traditional methods lack consistent standards, often miss diagnoses, and cannot explore diseases' molecular relationships. Thus, there is... read more 

Predicting DNA damage response using synthetic cell painting profiles and experimental analysis.

iScience
Detecting DNA damage response (DDR) using cell painting profiles is challenging due to limited sample sizes and skewed class distributions. We established a robust classification framework to enhance DDR prediction based on synthetic data. Using the ... read more 

Artificial intelligence 12-lead electrocardiography to determine atrial fibrillation risk among UK Biobank participants with predisposing conditions.

European heart journal. Digital health
AIMS: Artificial intelligence electrocardiography (AI-ECG) algorithms are emerging tools for identifying individuals at risk of atrial fibrillation (AF). We evaluated the predictive performance of a validated AI-ECG algorithm for incident AF in UK Bi... read more 

Committors without Descriptors.

Journal of chemical theory and computation
The study of rare events is one of the major challenges in atomistic simulations, and several enhanced sampling methods toward its solution have been proposed. Recently, it has been suggested that the use of the committor, which provides a precise fo... read more 

Advancing prussian blue nanoparticle-mediated photothermal therapy through machine learning and multiomics integration.

Nanomedicine (London, England)
Prussian blue nanoparticles (PBNPs) are a versatile platform for administering photothermal therapy (PTT) in cancer therapy applications. PBNPs combine biocompatibility, safety, and clinical translational potential with durable treatment outcomes in ... read more 

A Comprehensive Approach to Days' Supply Estimation in a Real-World Prescription Database: Algorithm Development and Validation Study.

Online journal of public health informatics
BACKGROUND: For accurate medication usage statistics and medication adherence calculations, we need to have an accurate days' supply (DS) for each prescription. Unfortunately, often the DS or the information needed for calculating the DS is not provi... read more 

Large Language Models for Health Care Text Classification: Systematic Review.

JMIR AI
BACKGROUND: Large language models (LLMs) have fundamentally transformed approaches to natural language processing tasks across diverse domains. In health care, accurate and cost-efficient text classification is crucial-whether for clinical note analy... read more