Artificial Intelligence Medical Compendium

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

Showing 41,661 to 41,670 of 223,853 articles

An explainable boosting machine model for identifying artifacts caused by formalin-fixed paraffin embedding

bioRxiv Mar 16, 2026
Background: Formalin-fixed paraffin-embedding (FFPE) is a widely used, cost-effective method for long-term storage of clinical samples. However, fixation is known to introduce damage to nucleic acids that can present as artifactual bases in sequencin... read more 
bioinformatics

An explanatory benchmark of spatial domain detection reveals key drivers of method performance

bioRxiv Mar 16, 2026
The spatial organization of cells within tissues is critical for understanding biological function and disease, and spatial transcriptomics enables genome-wide mapping of this organization. Numerous computational methods aim to identify spatial domai... read more 
bioinformatics

Detecting Manuscripts Related to Computable Phenotypes Using a Transformer-based Language Model

bioRxiv Mar 16, 2026
Objective: The demand for a comprehensive phenomics library, which requires identifying computable phenotype definitions and associated metadata from an ever-expanding biomedical literature, presents a significant, labor-intensive, and unscalable cha... read more 
bioinformatics

Opening the Black Box of Neural Computation from Neural Recordings with Gain-Modulated Linear Dynamical System

bioRxiv Mar 16, 2026
Inferring computational mechanisms from neural recordings is a central goal in systems neuroscience. Recent developments have identified low-rank recurrent neural networks (RNNs) as an effective tool for fitting observed neural activity and extractin... read more 
neuroscience

Chemically informed representations of amino acids enable learning beyond the canonical protein alphabet

bioRxiv Mar 16, 2026
Computational models of proteins typically represent sequences using a fixed twenty-letter alphabet describing canonical amino acids. Although this symbolic representation underlies most machine learning approaches to protein analysis, it abstracts a... read more 
bioinformatics

UniST: A Unified Computational Framework for 3D Spatial Transcriptomics Reconstruction

bioRxiv Mar 16, 2026
Spatial transcriptomics (ST) enables the measurement of gene expression in its native spatial context, yet most ST datasets are acquired as two-dimensional (2D) sections. Consequently, the underlying three-dimensional (3D) organization of tissues is ... read more 
bioinformatics

pertTF: context-aware AI modeling for genome-scale and cross-system perturbation prediction

bioRxiv Mar 16, 2026
Predicting genetic perturbation responses at a single-cell level is central to building models for cell state and disease. However, existing approaches are limited on predicting phenotypic outcomes beyond expression changes and generalizing predictio... read more 
bioinformatics

SynAPSeg: A novel dataset and image analysis framework for deep learning-based synapse detection and quantification

bioRxiv Mar 16, 2026
Synapses are the fundamental units of neural computation, yet quantifying their organization across circuit-level scales remains a critical bottleneck in neuroscience. While advances in fluorescent labeling and imaging can generate vast datasets, ana... read more 
neuroscience

Reinforcement Learning for Antibiotic Stewardship: Optimizing Prescribing Policies Under Antimicrobial Resistance Dynamics

bioRxiv Mar 16, 2026
Antimicrobial resistance (AMR) threatens antibiotic effectiveness, but quantitatively evaluating stewardship strategies under partial observability and delayed feedback remains difficult in real-world data. We developed `abx_amr_simulator`, a Gymnasi... read more 
bioinformatics

Rapid Bacterial Identification and Antibiotic Susceptibility Testing through Interferometry-based Surface Topography Measurement

bioRxiv Mar 16, 2026
Antimicrobial resistance poses a critical global health threat. For many bacterial infections, such as bacteremia, treatment can fail due to the time it takes to identify appropriate antibiotics. Current antibiotic susceptibility testing (AST) method... read more 
biophysics
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