Artificial Intelligence Medical Compendium

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

Showing 13,261 to 13,270 of 211,153 articles

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 

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 

Generative Artificial Intelligence in Medical Education and Participatory Research for Social Action: A Human and AI Comparative Analysis

medRxiv
Participatory qualitative methods such as Photovoice are increasingly used to link research with social action. Recent advances in artificial intelligence (AI) may enhance data analysis, inference, and action planning within such participatory approa... read more 

Artificial intelligence-driven precision medicine identifies prognostic WNT pathway alterations in AA colorectal cancer patients treated with FOLFOX

medRxiv
Background: African Americans (AA) experience disproportionate burden of colorectal cancer (CRC). Dysregulation of the Wingless-related integration site (WNT) pathways contributes to tumor progression, yet their prognostic roles in FOLFOX-treated CRC... read more 

Interpretable Symptom-Based Machine Learning for Parkinson's Disease Prediction: A Feasibility Study

medRxiv
Background: Parkinson's disease (PD) has a prolonged prodromal phase during which non-motor symptoms (NMS) may emerge years before the appearance of classical motor signs. This makes NMS a promising and clinically accessible source of information for... read more 

Post-ED Trajectory Prediction in Abdominal Pain with a Generative Medical Event Model

medRxiv
Importance: Abdominal pain causes roughly 10 million US emergency department (ED) visits annually, most resulting in discharge. Post-discharge courses vary, yet existing risk models predict only whether an ED revisit occurs, not what that revisit out... read more 

Economic costing of evaluating, deploying and monitoring an artificial intelligence-based reconstruction for acceleration of rectal MRI examinations

medRxiv
Objectives: AI-based reconstructions can reduce MRI acquisition times and/or improve image quality. Guidelines recommend clinical evaluations and post-deployment monitoring of these novel methods, however, there has been little investigation of the c... read more 

Precision Physical Activity Prescription via Reinforcement Learning for Functional Actions

medRxiv
Physical activity (PA) plays an important role in maintaining and improving health. Daily steps have been a key PA measure that is easily accessible with common wearable devices. However, methods are lacking to recommend a personalized optimal distri... read more