Artificial Intelligence Medical Compendium

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

Showing 12,931 to 12,940 of 210,785 articles

RANKOR: Direct Drug Prioritization from Bulk and Single-Cell Transcriptomic Signatures

bioRxiv
Background Prioritizing therapeutics from transcriptomic data remains a key challenge in precision medicine. Signature reversal approaches, most commonly implemented through Gene Set Enrichment Analysis (GSEA), have been widely used to match disease ... read more 

Membrane proteomics of the Drosophila circadian neural network

bioRxiv
Circadian behaviors are controlled by dedicated brain pacemaker neurons, whose activity oscillate during the day and the night. The Drosophila brain contains ca. 240 such neurons. Their molecular clock is synchronized, but the phase of their rhythmic... read more 

Synaptic pruning, myelination and the emergence of psychiatric disorders in late adolescence

bioRxiv
Adolescence is an important developmental period during which there are diverse changes in the brain and behavior. Goal-directed behaviors and the component processes underlying those behaviors improve during adolescence, including working memory, re... read more 

Rhythmic temporal structure organizes recurrent dynamics to support sequential working memory

bioRxiv
Rhythmic temporal structure improves working memory, but how this benefit emerges from recurrent dynamics remains unclear. Here, we trained excitatory-inhibitory recurrent neural networks with short-term synaptic plasticity to perform a sequential de... read more 

AI-assisted improvement of Aspergillus oryzae β-galactosidase using an Ensemble of Protein Language Models

bioRxiv
{beta}-galactosidases (BGs) are essential enzymes widely used in the food industry, particularly in the production of lactose-free products. Among them, the BG from Aspergillus oryzae is of industrial relevance due to its activity at acidic pH and mo... read more 

A Bioprinted Head and Neck Cancer Organoid-Based Platform for Evaluating Multimodal Therapies

bioRxiv
Treatment of advanced head and neck squamous cell carcinoma (HNSCC) often involves radiotherapy combined with chemotherapy, targeted therapy, or immunotherapy. However, due to its anatomical and molecular heterogeneity, identifying the most effective... read more 

DeepBioGS: a hybrid framework for integrating crop growth modelling with genomic prediction through neural networks

bioRxiv
Ensuring global food security under rapid climate change demands accelerated genetic gain and breeding strategies that address complex Genotype-by-Environment (GxE) interactions. Traditional genomic selection models often fail to account for novel or... read more 

Toward CT-based Tractography: Presurgical White Matter Tract Mapping in Intracerebral Hemorrhage

bioRxiv
Presurgical mapping of key white matter (WM) fiber tracts is crucial for intracerebral hemorrhage (ICH) surgery, but it currently relies on tractography from diffusion MRI (dMRI), which has limited applicability in urgent or resource-constrained sett... read more 

scDeepVariant: A population-informed deep learning framework for germline variant calling in scRNA-seq

bioRxiv
Single-cell RNA sequencing (scRNA-seq) provides unprecedented resolution of cellular heterogeneity while also capturing information on germline genetic variation, but accurate variant calling remains limited by sparse coverage, allelic imbalance, and... read more 

Fine-scale structural information substantially improves mRNA therapeutic stability prediction.

Molecular therapy. Nucleic acids
The success of COVID-19 mRNA vaccines has made the in-solution stability optimization of mRNAs a key objective. However, we still lack a complete understanding of sequence metrics that influence mRNA in-solution stability. RNA secondary structure pla... read more