Artificial Intelligence Medical Compendium

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

Showing 35,781 to 35,790 of 223,137 articles

CottonGen 2025: a knowledgebase for cotton genomics, genetics, and breeding research.

Genetics
CottonGen (https://www.cottongen.org) serves as an integrated genomics platform for the cotton research community, combining comprehensive data storage with sophisticated analysis tools built on the Tripal framework. Since its establishment in 2012, ... read more 

SorghumBase: a knowledgebase for sorghum genomics, phenomics, and stakeholder engagement.

Genetics
Centralizing valuable community data and resources into a user-friendly interface and accessible repository has become essential for agricultural science; embracing Findable Accessible, Interoperable, and Reusable (FAIR) principles is now standard fo... read more 

Delivering artificial intelligence-ready genomics with the Maize Genetics and Genomics Database.

Genetics
The integration of artificial intelligence (AI) into computational biology is changing biological research, particularly in agriculture, where large and complex datasets offer opportunities for discovery and crop improvement. Maize (Zea mays L.), a g... read more 

Recent major changes to TAIR: updates to the database, website, and Arabidopsis genome.

Genetics
The Arabidopsis Information Resource (TAIR) is the primary knowledgebase for Arabidopsis thaliana, providing curated genetics and genomics data, analysis tools, and community resources that support plant biology research worldwide. Since its establis... read more 

Fine scale structural information substantially improves multivariate regression model for mRNA in-vial degradation prediction

bioRxiv
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 

FDG PET in pulmonary sarcoidosis: An update and future aspects.

Seminars in nuclear medicine
Pulmonary sarcoidosis is a heterogeneous granulomatous disease with an unpredictable clinical course, in which accurate assessment of disease activity remains a major clinical challenge. Although up to two-thirds of newly diagnosed patients experienc... read more 

Beyond Conventional Imaging: From Time-Based to Data-Driven Decision-Making in Acute Ischemic Stroke.

Journal of atherosclerosis and thrombosis
Reperfusion therapy has profoundly transformed acute ischemic stroke (AIS) care. Initially, treatment decisions relied primarily on time from symptom onset. However, growing evidence has shown that the extent of irreversibly injured tissue and the pr... read more 

From Chatbot to Care Team: A Pilot Study of Generative Artificial Intelligence to Support Nurse-Pharmacist Collaboration and Patient Care in Telemedicine.

Journal of doctoral nursing practice
Background: Collaboration between nurse practitioners (NPs) and pharmacists is essential for comprehensive patient care, especially in telehealth settings where communication is often asynchronous. Generative artificial intelligence (AI) offers a nov... read more 

Art education in the age of AI: Exploring ethical practices and pedagogical approaches in Chinese.

Acta psychologica
This study investigates the integration of artificial intelligence (AI) in visual arts education among Chinese students, focusing on the influences of gender, education level, and university type on students' perceptions and engagement with AI tools.... read more 

Development of a deep learning tool to detect drug-resistance epilepsy with EEG.

Epilepsy & behavior : E&B
INTRODUCTION: Drug-resistant epilepsy affects about 30% of patients and is linked to poorer outcomes. Deep learning can extract complex patterns from EEG data and shows promise for identification of drug resistance (DRE). This study aimed to develop ... read more