Artificial Intelligence Medical Compendium

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

Showing 56,231 to 56,240 of 226,846 articles

The richness of little voices: using artificial intelligence to understand early language development

bioRxiv Jan 31, 2026
How informative are preschoolers' speech vocalizations? Preschoolers' speech is often imprecise, highly variable and hard to interpret by humans and machines; consequently, its predictive value for later developmental outcomes remains quite underexpl... read more 
neuroscience

Distance-Restraint-Guided Diffusion Models for Sampling Protein Conformational Changes and Ligand Dissociation Pathways

bioRxiv Jan 31, 2026
Protein conformational dynamics and ligand binding processes are fundamental to biological function, yet their systematic sampling and thermodynamic characterization remain challenging. Here, we present a distance-restraint-guided inference method th... read more 
biophysics

Individual Differences in Dopaminergic Modulation of Exploration-Exploitation Behaviour

bioRxiv Jan 31, 2026
Dopamine (DA) has been implicated in exploration-exploitation behaviour, i.e., exploring novel, potentiallybetter options vs. exploiting known, previously rewarding options. Impairments in this trade-off occur inpsychiatric disorders involving DAergi... read more 
neuroscience

CyclicMPNN: Stable Cyclic Peptide Sequence Generation

bioRxiv Jan 31, 2026
Cyclic peptides are a promising class of therapeutics due to their attractive drug qualities such as increased structural stability, cell permeability, and resistance to proteolytic degradation. With recent advancements in cyclic peptide backbone gen... read more 
biochemistry

Agentomics: An Agentic System that Autonomously Develops Novel State-of-the-art Solutions for Biomedical Machine Learning Tasks

bioRxiv Jan 30, 2026
Motivation: Extracting knowledge from biomedical data is crucial for advancing our understanding of biological systems and developing novel therapeutics. The quantity, quality, and resolution of biomedical data constantly evolves, requiring the autom... read more 
bioinformatics

A systematic assessment of machine learning for structural variant filtering

bioRxiv Jan 30, 2026
Background: Accurate discrimination of true structural variants (SVs) from artifacts in long-read sequencing data remains a critical bottleneck. Numerous machine learning solutions have been proposed, ranging from classical models using engineered fe... read more 
bioinformatics

Strategic Segmentation: A Nash Equilibrium based Approach for Weed Segmentation in Agricultural Fields

bioRxiv Jan 30, 2026
Weeds present a major challenge to agricultural productivity, competing with crops for critical resources like water, nutrients, and sunlight, resulting in significant yield reductions. Prompt weed identification is essential for enabling effective c... read more 
plant biology

Deep learning-enabled speckle reduction for cleared-sample coherent scattering tomography

bioRxiv Jan 30, 2026
Clearing Assisted Scattering Tomography (CAST) extends coherent scattering tomography to whole-brain imaging, enabling visualization of fine-scale brain-wide connectivity. As a coherent optical tomography modality, CAST is inherently affected by spec... read more 
bioengineering

DVPNet: A New XAI-Based Interpretable Genetic Profiling Framework Using Nucleotide Transformer and Probabilistic Circuits

bioRxiv Jan 30, 2026
This research provides an XAI-driven genetic profiling approach that may contribute to scientific discoveries in genetic research. We propose a new explainable AI (XAI) classification algorithm that combines probabilistic circuits with the Nucleotide... read more 
bioinformatics

clinTALL: machine learning-driven multimodal subtypeclassification and treatment outcome prediction in pediatric T-ALL

bioRxiv Jan 30, 2026
Background: Childhood T-lineage acute lymphoblastic leukemia (T-ALL) is an aggressive hematologic malignancy with poor prognosis. Differently from B-cell precursor ALL, T-ALL lacks effective risk stratification strategies. A recent study has integrat... read more 
bioinformatics
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