Artificial Intelligence Medical Compendium

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

Showing 59,661 to 59,670 of 228,014 articles

Organic neuromorphic vision devices with multilevel memory for palmprint identification.

Chemical science Jan 21, 2026
Neuromorphic visual devices have emerged as a critical strategy to address the limitation of the von Neumann bottleneck. However, the role of interfacial molecular engineering-specifically the modulation of polar groups in polymer gate dielectrics-in... read more 

Peripheral blood profiles reflecting progenitor lineage balance predict treatment response in chronic myeloid leukemia

medRxiv Jan 21, 2026
Early achievement of deep remission improves patients' outcome in chronic myeloid leukemia (CML) treatment, highlighting the need for predictive indicators before therapy initiation. This study aimed to develop a tool to predict CML treatment respons... read more 
hematology

AlignInsight: A Three-Layer Framework for Detecting Deceptive Alignment and Evaluation Awareness in Healthcare AI Systems

medRxiv Jan 21, 2026
Importance: Emerging evidence suggests healthcare AI systems may exhibit deceptive alignment (appearing safe during validation while optimizing for misaligned objectives in deployment) and evaluation awareness (detecting and adapting behavior during ... read more 
health informatics

From Thought to Speech: Integrating a Low-Cost Electroencephalography Device with AI to Decode Neural Language Signals in Amyotrophic Lateral Sclerosis Patients

medRxiv Jan 21, 2026
Purpose: Nearly all amyotrophic lateral sclerosis (ALS) patients develop dysarthria, with many progressing to anarthria and global expressive communication failure despite preserved consciousness. Despite the severity of this communication loss, avai... read more 
neurology

Using Natural Language Processing of Clinical Notes to Supplement Structured Electronic Health Record Data for Phenotyping Smoking and Obesity in a Healthcare System

medRxiv Jan 21, 2026
Purpose: Studies based on electronic health records (EHR) often rely on structured data, which may incompletely capture important clinical phenotypes in EHR notes. The purpose of this study was to assess two natural language processing (NLP) tools to... read more 
health informatics

Integrating Acoustic, Prosodic, and Phonological Features for Automatic Alzheimer's Detection

bioRxiv Jan 21, 2026
Early and accurate diagnosis of Alzheimer's Disease (AD) is critical for effective intervention. While previous studies have explored speech-based biomarkers for AD, this paper presents the first systematic investigation of acoustic, prosodic, and ph... read more 
neuroscience

The Vesicular Glutamate Transporter Modulates Sex and Region-Specific Differences in Dopaminergic Neuron α-Synuclein Toxicity by Modifying Cytosolic Dopamine Levels

bioRxiv Jan 21, 2026
Parkinson's disease disproportionately affects males; however, the cause of this sex difference is unknown. We found that expressing mutant -synuclein A53T in Drosophila dopamine neurons recapitulates the sex differences observed in human Parkinson's... read more 
neuroscience

Searching the Druggable Genome using Large Language Models

bioRxiv Jan 21, 2026
The druggable genome encompasses the genes that are known or predicted to interact with drugs. The Drug-Gene Interaction Database (DGIdb) provides an integrated resource for discovering and contextualizing these interactions, supporting a broad range... read more 
bioinformatics

Predicting Enzyme pH Optima from Structure Using Equivariant Graph Neural Networks

bioRxiv Jan 21, 2026
Enzyme activity and stability are strongly modulated by pH, making the catalytic pH optimum (pH opt) a key parameter in enzyme development and biotechnological applications. Experimental determination of pH opt is, however, labor-intensive and time-c... read more 
bioinformatics

Ancestral sequence reconstruction using generative models

bioRxiv Jan 21, 2026
Ancestral sequence reconstruction (ASR) is a foundational task in evolutionary biology, providing insights into the molecular past and guiding studies of protein function and adaptation. Conventional ASR methods rely on a multiple sequence alignment ... read more 
bioinformatics
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