Artificial Intelligence Medical Compendium

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

Showing 44,721 to 44,730 of 224,055 articles

Random forest models accurately classify synthetic opioids using high-dimensionality mass spectrometry datasets.

Analytical methods : advancing methods and applications Mar 5, 2026
Detection of novel threat agents presents several challenges, a principle one being the development of untargeted methods to screen an increasing number of threat chemicals whose exact structures are unknown. With the use of Machine Learning (ML) too... read more 

Paper-based microfluidics for wearable soft bioelectronics.

Lab on a chip Mar 4, 2026
Wearable biosensing technologies are transforming healthcare by enabling continuous, real-time monitoring of physiological states at the point of care. Flexible microfluidics, particularly paper-based microfluidics, serve as critical interfaces betwe... read more 

Lab-on-a-chip insights: advancing subsurface flow applications in carbon management and hydrogen storage.

Lab on a chip Mar 4, 2026
The transition to sustainable energy is crucial for mitigating climate change impacts, with hydrogen and carbon storage and utilization technologies playing pivotal roles. This review highlights the integral and useful role of microfluidic technologi... read more 

AI-enabled wearable microfluidics for next-generation infection monitoring and therapeutics.

Lab on a chip Mar 4, 2026
Wearable biosensors have revolutionized healthcare by enabling continuous, minimally invasive monitoring of health parameters. While traditional wearables primarily measure physiological signals, recent advancements now allow biochemical sensing of m... read more 

Flow by design: a guided review of microfluidics for wearable biosensors.

Lab on a chip Mar 4, 2026
The integration of microfluidics into wearable biosensors has enabled real-time, non-invasive access to physiological information through biofluids such as sweat, saliva, tears, and interstitial fluid (ISF). However, the successful design and fabrica... read more 

Critical evaluation of the theory and practice of feed-forward neural networks for genomic prediction.

G3 (Bethesda, Md.) Mar 4, 2026
Genomic prediction (GP) has catalyzed increased rates of genetic gain in animal and plant breeding. Recently, deep learning (DL) has been explored to increase GP accuracy by incorporating diverse data types and learning complex, non-linear patterns i... read more 

Lymphatics-on-a-chip microphysiological system: engineering lymphatic structure and function in vitro.

Lab on a chip Mar 4, 2026
The lymphatic system-integral to fluid balance, immune surveillance, and lipid absorption-is frequently overlooked despite its vital roles. Traditional research modalities, including static two-dimensional cultures and animal models, have illuminated... read more 

Expectations and Limitations of Artificial Intelligence in Blood Cancer Diagnosis.

Blood cancer discovery Mar 4, 2026
In this commentary, we open the debate on what can be expected from artificial intelligence (AI) in the diagnosis of hematologic cancers. We discuss the key factors that make AI solutions robust, trustworthy, and, above all, generalizable, with parti... read more 

Bridging scales: machine learning for the rational design and modelling of shape memory polymers.

Soft matter Mar 4, 2026
Shape memory polymers (SMPs) are a class of stimuli-responsive materials with significant potential across diverse fields including soft robotics, biomedical devices, and mechanical engineering. To realize a scale transition from small molecules to a... read more 

An artificial intelligence prediction model for optimizing patient selection for cardiac imaging for the investigation of suspected coronary artery disease.

European heart journal. Digital health Mar 4, 2026
AIMS: Nearly, 40% of patients undergoing elective invasive coronary angiography (ICA) are diagnosed with non-obstructive coronary artery disease (CAD) or normal coronary anatomy, resulting in unnecessary risk exposure and increased costs to the healt... read more 
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