Artificial Intelligence Medical Compendium

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

Showing 60,241 to 60,250 of 228,072 articles

Time-Series Machine Learning for Prediction of Bronchopulmonary Dysplasia.

The Journal of pediatrics
OBJECTIVE: To build a time-series machine learning (ML) model that improves bronchopulmonary dysplasia (BPD) prediction compared with published online calculators. STUDY DESIGN: We used a single-center, extremely low gestational age newborn cohort (i... read more 

Investigating the role of sensorimotor versus contextual cues in the sense of joint agency: a human-human and human-robot study.

Neuropsychologia
Sense of Joint Agency (SoJA), is the feeling of control experienced by humans for their own, as well as their partner's actions, when acting in joint action with others. SoJA is ubiquitous in human-human interaction. Therefore, it is both interesting... read more 

Zero-shot deep learning with multi-objective optimization improves thermostability of zearalenone hydrolase and xylanase.

New biotechnology
Enhancing enzyme thermostability is crucial for industrial applications requiring robust performance under extreme conditions. Structure-based protein design models excel at improving thermal stability but often compromise enzymatic activity, while s... read more 

Integrative omics approaches for bioactive metabolite discovery in marine macroalgae: Recent advances and future perspectives.

Journal of biotechnology
Phlorotannins, bromophenols, sulfated polysaccharides, terpenoids, lipids and halogenated molecules exhibit potent antioxidant, anticancer, anti-inflammatory, and antimicrobial properties. Conventional discovery methods, such as solvent extraction an... read more 

Machine learning-based prediction of phenanthrene accumulation and toxicity in earthworms across soils.

Environmental research
Phenanthrene (PHE), a representative polycyclic aromatic hydrocarbon, readily bioaccumulates in soil organisms and poses substantial ecological risks. However, accurately predicting PHE toxicity across heterogeneous soils remains challenging due to c... read more 

Machine Learning Integrated Extracellular Vesicle Proteome Analysis For Early Markers Of Bronchopulmonary Dysplasia.

Function (Oxford, England)
Bronchopulmonary dysplasia (BPD) is a serious and often lethal complication of pre-term birth that typically manifests about one month after pre-term delivery. The lungs of premature infants are underdeveloped and vulnerable to mechanical damage, inf... read more 

Multimetallic nanostructures: innovations and applications in environmental remediation, biosensing, and medical technologies.

Nanoscale
Multimetallic nanostructures (MNs) have emerged as versatile materials with significant potential in various applications, including environmental remediation, biosensing, and medical technologies. Their unique electronic, catalytic, and optical prop... read more 

AI-Guided Droplet Microreactors Enable Rapid and Reproducible Protein Crystallization.

Small (Weinheim an der Bergstrasse, Germany)
Protein crystallization is essential for macromolecular structure determination, which in turn enables advances in drug discovery, enzyme engineering, and functional biology. However, conventional crystallization methods require large sample volumes,... read more 

Quality and Reliability of AI Information on Dental Implant Failure: A Comparative Multi-Model Analysis.

The Journal of craniofacial surgery
OBJECTIVE: This study aimed to develop a consensus-based set of patient questions on dental implant failure and to compare the clarity, quality, accuracy, reliability, and readability of responses generated by 4 widely used AI chatbots: ChatGPT-4, De... read more 

Artificial Intelligence-assisted Risk Stratification of Thyroid Nodules with Atypia of Undetermined Significance.

European thyroid journal
OBJECTIVE: Given the limitations of conventional approaches in managing indeterminate thyroid nodules, there remains an unmet need for non-invasive assistant tools to improve risk stratification. This study aimed to evaluate the clinical applicabilit... read more