Artificial Intelligence Medical Compendium

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

Showing 62,141 to 62,150 of 230,319 articles

Unsupervised Learning in Echo State Networks for Input Reconstruction.

Neural computation
Echo state networks (ESNs) are a class of recurrent neural networks in which only the readout layer is trainable, while the recurrent and input layers are fixed. This architectural constraint enables computationally efficient processing of time-serie... read more 

ComPRePS: Unlocking Scalable AI Analysis for Computational Renal Pathology

bioRxiv
Digital pathology using whole slide imaging (WSI) and artificial intelligence (AI) has the potential to transform diagnostic workflows, but adoption remains limited by technical complexity and scalability. We developed the Computational Renal Patholo... read more 

Medea: An omics AI agent for therapeutic discovery

bioRxiv
AI agents promise to empower biomedical discovery, but realizing this promise requires the ability to complete transparent, long-horizon analyses using tools. Agents must make intermediate decisions explicit, and validate each decision and output aga... read more 

COLLEMBOT: AI-Based Counting of Collembola for OECD 232 Tests

bioRxiv
Ecotoxicological tests with soil organisms, such as the collembolan Folsomia candida, are essential for assessing chemical risks in terrestrial ecosystems. However, the current Organization for Economic Co-operation and Development (OECD) 232 reprodu... read more 

Spatial Decoding of Tertiary Lymphoid Structure Maturation in Non-Small Cell Lung Cancer Using Deep Neural Networks

bioRxiv
Understanding the role of tertiary lymphoid structures (TLS) is crucial in non-small cell lung cancer (NSCLC), as they are associated with patient prognosis and treatment outcomes. Specific cellular ecosystems that originate anti-tumor activity or pr... read more 

Robust Trachea Segmentation from CT Imaging Using Fully Automated and Prompt-Based Models

bioRxiv
Accurate trachea segmentation from computed tomography (CT) is a prerequisite for image- guided airway assessment, toward precision tracheostomy planning and safe endotracheal tube placement. Trachea-specific delineation remains challenging due to el... read more 

Sleep dynamics and epileptogenesis following Kainic acid in epilepsy-susceptible (DBA/2J) and epilepsy-resistant (C57BL/6) mice

bioRxiv
Susceptibility to epileptogenesis varies in humans and outbred mouse strains. We hypothesized that baseline sleep abnormalities increase susceptibility to epileptogenesis following Kainic acid (KA) and abnormal circadian rhythm or sleep homeostasis (... read more 

Comparison of Deep Learning Approaches for Extreme Low-SNR Image Restoration

bioRxiv
Background: Live-cell fluorescence microscopy enables the study of dynamic cellular processes. However, fluorescence microscopy can damage cells and disrupt these dynamic processes through photobleaching and phototoxicity. Reducing light exposure mit... read more 

CellFluxV2: An Image Generative Foundation Model for Virtual Cell Modeling

bioRxiv
Building a virtual cell that simulates cellular behavior in silico is a central goal of computational biology. We introduce CellFluxV2, an image-generative model that predicts how cell morphologies change in response to chemical and genetic perturbat... read more 

Characterizing Highly Conserved Fragments in 3'UTRs via Computational and Transfer Learning Approaches

bioRxiv
3' untranslated regions (3' UTRs) serve as regulatory platforms that modulate translation, mRNA localization, and stability through the binding of regulators, such as RNA-binding proteins (RBPs) and miRNAs, in a sequence-specific manner. These vital ... read more