Artificial Intelligence Medical Compendium

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

Showing 57,681 to 57,690 of 227,388 articles

Comparison of Pragmatic Post-Thrombectomy Prognostic Scores Not Based on Advanced Imaging in a Large National Stroke Registry.

International journal of stroke : official journal of the International Stroke Society Jan 28, 2026
BACKGROUND: Nearly half of the patients who received endovascular thrombectomy (EVT) for large vessel occlusion experience poor functional outcomes. Reliable tools for early post-procedural prognostication are needed. We aimed to assess and compare t... read more 

ZnO@Sodium Copper Chlorophyllin Nanoparticle-Based Optoelectronic Memristor for Multiwavelength Sensing and Color Image Recognition.

The journal of physical chemistry letters Jan 28, 2026
To emulate the human color vision system, developing artificial optoelectronic synapses with multiwavelength discrimination capability is highly desired. In this work, we propose a novel optoelectronic memristor based on a Gelatin-ZnO@Sodium copper c... read more 

Skin tone and clinical dataset from a prospective trial on acute care patients.

Scientific data Jan 28, 2026
Although hypothesized to be the root cause of the pulse oximetry disparities, skin tone and its use for improving medical therapies have yet to be extensively studied. Studies that previously used self-reported race as a proxy variable for skin tone ... read more 

Development and Validation of a Machine Learning Model for Dementia Staging in a Heterogeneous Cognitive Impairment Cohort Using Multimodal Features.

Academic radiology Jan 28, 2026
RATIONALE AND OBJECTIVES: With the emergence of disease-modifying therapies, precise staging of dementia is urgent. This study aimed to develop a machine learning model integrating multimodal data to achieve objective staging of dementia severity in ... read more 

High reliability Ag/Ni/NiO nanowire-based SERS for cancer detection: a study on breast cancer.

Nanoscale advances Jan 28, 2026
Over the past decade, substantial research has focused on identifying cancer biomarkers using Raman spectroscopy. However, no commercial Raman-based diagnostic tests are currently available. A major barrier is the need to amplify the inherently weak ... read more 

Noninvasive and Objective Near Real-Time Detection of Pain Changes in Fluctuating Pain

bioRxiv Jan 28, 2026
Chronic pain involves natural intensity fluctuations that patients cannot control, contributing to learned helplessness and functional impairment. Detecting spontaneous pain decreases could enable precisely timed interventions that enhance perceived ... read more 
neuroscience

BULLKpy: An AnnData-Inspired Unified Framework for Comprehensive Bulk OMICs Analysis

bioRxiv Jan 28, 2026
Bulk OMICs data, such as RNA-seq and proteomics, remain foundational in biomedical and cancer research. While single-cell transcriptomics has revolutionized our understanding of cellular heterogeneity, bulk OMICs continue to provide unique advantages... read more 
bioinformatics

Machine Learning Method for Optimizing Coding Sequences in Mammalian Cells

bioRxiv Jan 28, 2026
Mammalian cell lines are the preferred hosts for producing commercially relevant therapeutic proteins such as antibodies, multispecifics, and cytokine fusion proteins. Even though significant investment is made to optimize upstream and downstream pro... read more 
bioengineering

Global mRNA 3'UTR lengthening in small-cell neuroendocrine carcinoma

bioRxiv Jan 28, 2026
Small-cell neuroendocrine carcinoma (SCNC) is a rare but highly malignant tumor subtype that primarily arises in the lung, also rarely in other organs, and as a consequence of treatment induced lineage transdifferentiation of prostate adenocarcinomas... read more 
cancer biology

Knowledge-Guided Learning with Curated Prior Genetic Biomarkers for Robust Model Interpretation

bioRxiv Jan 28, 2026
Motivation: Knowledge-guided learning offers effective and robust model training strategies in data-scarce settings by incorporating established domain knowledge, thereby enhancing generalization, robustness, and interpretability. By contrast, conven... read more 
bioinformatics
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