Artificial Intelligence Medical Compendium

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

Showing 19,731 to 19,740 of 215,899 articles

Photothermal microscopy beyond intensity detection: exploiting spatial signal distributions for enhanced sensitivity.

The Analyst
This paper reports a substantial enhancement in the sensitivity of photothermal microscopy by leveraging the inevitable spatial mismatch of pump and probe beams, which has conventionally been regarded as an experimental imperfection to be minimized. ... read more 

Recent innovative approaches for drug delivery systems targeting cancer and CNS disorders.

Journal of materials chemistry. B
Advancements in drug delivery systems (DDSs) have revolutionized pharmaceutical development by enhancing therapeutic precision, minimizing off-target effects, and improving patient compliance. Modern DDS technologies, such as lipid nanoparticles (LNP... read more 

How far can you go? Extrapolating values of catalytic activity from known protein landscapes in natural and directed evolution.

Chemical Society reviews
The number of possible variants representing the landscape of a protein sequence of length N residues, made of the standard unmodified proteinogenic amino acids, is 20N; its exhaustive experimental analysis is consequently intractable. Our focus is o... read more 

Droplet microfluidic profiling of NK cell cytotoxicity with machine learning-enabled target-cell death analysis.

Lab on a chip
Predicting the clinical efficacy of Natural Killer (NK) cell immunotherapies remains challenging due to functional heterogeneity within effector populations and tumor microenvironment (TME)-mediated suppression. Here, we present a droplet microfluidi... read more 

Manganese-based cathode materials for aqueous zinc-ion batteries: a mini review.

Nanoscale
Aqueous zinc-ion batteries (AZIBs) have emerged as a highly promising energy storage technology due to their inherent safety, environmental friendliness, and high theoretical capacity. Nevertheless, challenges in the development of cathode materials ... read more 

A Deep Learning Framework for Efficient Online Decomposition of High-Density Surface Electromyogram into Motor Unit Spike Trains.

International journal of neural systems
The efficient online decomposition of high-density surface electromyogram (HD-sEMG) into motor unit spike trains (MUSTs) remains a substantial challenge. In this study, a novel deep learning (DL) framework is presented. The framework leverages a hybr... read more 

Fostering Cultural Safety Through AI-Based Simulations: A Mixed-Methods Study in Nursing Education.

The Journal of nursing education
BACKGROUND: Increasing cultural diversity requires nurses to ensure cultural safety in patient care. Artificial intelligence (AI)-based simulations offer promising experiential learning, yet evidence of their effectiveness remains limited. This study... read more 

Non-Invasive Screening of AI-Assisted DNA Aneuploidy Cytology by Image Cytometry for the Early Diagnosis of Malignant Transformation of OPMDs.

International dental journal
INTRODUCTION AND AIMS: Oral exfoliative DNA aneuploidy cytology by image cytometry (DNA-ICM) has been introduced for the early diagnosis of malignant transformation. This study aimed to investigate the optimal cut-off values of DNA content and assess... read more 

Continuous-time causal distribution learning with identifiability for brain dynamic effective connectivity inference.

Medical image analysis
Dynamic effective connectivity (dEC) analysis provides an approach for revealing the causal mechanism of information transmission in human brain. However, existing discrete-time dEC learning models suffer a mismatch between sampling and causal freque... read more 

Toward the Ideal Corneal Construct: Design Principles, Biofabrication Strategies, and Translational Challenges in 3D Bioprinting.

Experimental eye research
Corneal blindness affects millions worldwide, yet donor tissue remains insufficient to meet clinical demand. In this context, 3D bioprinting has emerged as a promising approach for fabricating corneal constructs with controlled architecture and compo... read more