Artificial Intelligence Medical Compendium

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

Showing 20,331 to 20,340 of 215,962 articles

Corpus-wide causality: Algorithm design & application for aggregating gene-disease causal evidence

bioRxiv
Identifying causal relationships, rather than mere associations, is essential for applications such as finding genes driving diseases and guiding drug discovery towards disease mechanisms rather than symptom management. Although many studies extract ... read more 

Cyst-type epithelial heterogeneity shapes therapeutic responsiveness in ADPKD

bioRxiv
Autosomal dominant polycystic kidney disease (ADPKD) exhibits substantial interpatient variability in disease course and therapeutic response, but the cellular basis for this variability remains poorly understood. Here, we combine single-nucleus RNA ... read more 

Serum proteomic atlas reveals distinct molecular signatures of lupus nephritis activity, chronicity, and treatment response

bioRxiv
Lupus nephritis (LN), a severe manifestation of systemic lupus erythematosus (SLE), features heterogeneous renal pathology and reliance on invasive biopsies for diagnosis, prognosis, and treatment selection. Current peripheral clinical markers inadeq... read more 

Integrative Genomic, Single-Cell, and Functional Profiling of the CD48-CD244 Axis and NK-Cell Dysfunction in Multiple Myeloma

bioRxiv
Multiple myeloma (MM) orchestrates immune evasion by subverting natural killer (NK) cell function. CD48, one of the most abundant NK-ligands on MM cells, paradoxically enhances NK-cell activation yet is associated with high-risk cytogenetics and poor... read more 

Predicting curvature evolution on biological surfaces from clinical imaging-derived area dilation: a closed-form interpretable framework

bioRxiv
Curvature evolution on a deforming surface is governed by the full change in the surface metric, but on biological surfaces captured by serial three-dimensional imaging, only the local area change is observable. The loss of the shear component leaves... read more 

Machine Learning Analysis to Define Cell Lineage in Leiomyosarcoma

bioRxiv
Introduction Cellular differentiation and lineage commitment are known to be associated with differences in DNA methylation. Leiomyosarcoma (LMS) is a tumor thought to originate from smooth muscle cells in the walls of vessels in the soft tissue (STL... read more 

Detecting and quantifying overparametrization in RNA language models with REDIAL

bioRxiv
While RNA language models (LMs) have served as foundation models (FMs) to advanced structural prediction, their evaluation relies heavily on supervised downstream tasks. Such tasks can often mask FM inefficiencies and reflect downstream training set ... read more 

Decoding the Sequence Requirements for Translation Initiation

bioRxiv
Accurate selection of start codons by ribosomes is a fundamental determinant of proteome composition. Although the 'Kozak sequence'--an 8-nucleotide sequence flanking the start codon--has long been viewed as the primary determinant of initiation in e... read more 

An fMRI dataset of verbalized spontaneous thought with annotated transcripts and self-report trait measures

bioRxiv
Spontaneous thought is pervasive in everyday human cognition, yet datasets capturing its neural dynamics under minimally interrupted conditions remain limited. The current dataset was acquired from a think-aloud functional MRI experiment in which 118... read more 

Unifying the Electron Microscopy Multiverse through a Large-scale Foundation Model

bioRxiv
Accurate analysis of electron microscopy (EM) images is essential for exploring nanoscale biological structures, yet data heterogeneity and fragmented workflows hinder scalable insights. Pretrained on large, diverse datasets, image foundation models ... read more