Artificial Intelligence Medical Compendium

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

Showing 26,801 to 26,810 of 218,283 articles

Phylogenetic signal in herbicide resistance evolvability, and the use of phylogenies to predict herbicide resistance risk

bioRxiv
The evolution of herbicide resistance in weeds is a problem affecting both food production and ecosystems. Numerous factors affect selection towards herbicide resistance making prediction of resistance evolution complicated. The potential for a speci... read more 

Graph Neural Networks (GNNs) for Protein-Ligand Interaction Prediction

bioRxiv
Predicting protein-ligand interactions in the modern drug discovery has revolved from the involvement of artificial intelligence and structural bioinformatics using Graph Neural Networks (GNNs). The limited explainability of GNN models presents an im... read more 

Learning temporal structure engages hippocampus and guides value-based behaviour

bioRxiv
The ability to learn and exploit structured relationships between events is fundamental to adaptive behaviour and episodic-like memory, yet the neural mechanisms that support such learning remain poorly understood. Progress has been limited by the di... read more 

Image-grounded encoding models reveal distinct temporal profiles of naturalistic object and scene processing in the human brain

bioRxiv
The human brain processes large amounts of complex visual information in order to effectively interact with its environment. It is well established that our visual system has specialized regions to process incoming information efficiently, such as sc... read more 

Housekeeping Gene Expression Normalization in Transcriptomics Mitigates Data Leakage in Machine Learning Models

bioRxiv
Background: Inappropriate normalization can lead to data leakage and overfitting in machine learning models. Accurately identifying housekeeping genes (HKGs) can overcome this problem and is crucial for normalizing gene expression data, particularly ... read more 

AI-readiness criteria for biomedical data

bioRxiv
Biomedical research is rapidly adopting artificial intelligence (AI). Yet the inherent complexity of biomedical data preparation requires implementing actionable, robust criteria for ethical and explainable AI (XAI) at the "pre-model" stage, encompas... read more 

Spectral envelopes of facial movements predict intention, cortical representations, and neural prosthetic control

bioRxiv
Animals, including humans, use coordinated facial movements to sample the environment, ingest nutrients, and communicate. Rodents, in particular, produce rhythmic facial movements during spontaneous behavior and cognitive tasks. Measuring these movem... read more 

Autonomous multimodal agents enable transparent, spatiotemporal reconstruction of immune dynamics in pancreatic cancer progression

bioRxiv
Pancreatic cancer progression is orchestrated by dynamic shifts in immune and stromal cellular ecosystems, yet the temporal and spatial principles governing these transitions remain poorly understood. Here, we present an agentic computational patholo... read more 

A transcriptomic analysis reveals shared and inducer-specific expression patterns of cellular senescence

bioRxiv
Cellular senescence is a heterogeneous cell state induced by diverse stressors, including telomere attrition, genotoxic agents, oxidative damage, and inflammation. Despite ongoing efforts to identify conserved senescence biomarkers, it remains unclea... read more 

Interpreting and Validating a Deep Learning Model Predictive of Spatial Morphologic-Molecular Patterns in Lung Adenocarcinoma, Using Ground Truth Immunohistochemistry

bioRxiv
Lung adenocarcinoma (LUAD), the most common subtype of non-small cell lung cancer, exhibits profound histological and molecular heterogeneity. While genomic profiling has identified key oncogenic drivers and immune signatures, its use is limited by c... read more