Artificial Intelligence Medical Compendium

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

Showing 34,681 to 34,690 of 221,633 articles

Reproducible orchestration of best practices for reaction path optimization with the nudged elastic band.

MethodsX
The nudged elastic band (NEB) method is the standard approach for finding minimum energy paths and transition states on potential energy surfaces. Practical NEB calculations require several pre-processing steps: endpoint minimization, structural alig... read more 

Using Machine Learning to Design Effective Antimicrobial Dosing Regimens.

Computers & chemical engineering
Resistant bacterial infections remain a major clinical challenge, often necessitating combination therapy, namely use of two or more antibiotics with different mechanisms of action. However, the systematic design of such therapies is still lacking. T... read more 

A hierarchical prompt and prototype learning framework for brain disorder classification.

Medical image analysis
Accurate diagnosis of brain disorders (BDs) is challenging in clinical practice. Most existing deep learning-based methods perform diagnosis only in a one-step manner, ignoring the step-wise, multi-level diagnosis processes as performed by radiologis... read more 

Screening and classification of anti-angiogenic VEGFR2 inhibitors with supervised machine learning, deep learning and molecular docking and molecular dynamics simulation.

Journal of molecular graphics & modelling
Vascular Endothelial Growth Factor Receptor 2 (VEGFR2) is a critical therapeutic target in cancer due to its role in pathological angiogenesis and tumor progression. Despite available FDA-approved VEGFR2 tyrosine kinase inhibitors (TKIs), challenges ... read more 

Disposable face masks and PBDEs in aquatic environments: Co-contamination and impacts.

Water research
Disposable face masks have emerged as a widespread source of post-COVID contamination in aquatic environments, particularly in coastal and nearshore waters. However, their capacity to interact with co-occurring contaminants has received limited atten... read more 

Multimorbidity and major adverse cardiovascular events in antipsychotic users: Time-to-event prediction by explainable machine learning.

iScience
Antipsychotic treatment is associated with higher risk of major adverse cardiovascular events (MACEs), and risk may vary by multimorbidity and concomitant medications. Using Hong Kong electronic health records, we followed 26,274 MACE-free adults (18... read more 

Moondream Segmentation: From Words to Masks

arXiv
We present Moondream Segmentation, a referring image segmentation extension of Moondream 3, a vision-language model. Given an image and a referring expression, the model autoregressively decodes a vector path and iteratively refines the rasterized ma... read more 

Rascene: High-Fidelity 3D Scene Imaging with mmWave Communication Signals

arXiv
Robust 3D environmental perception is critical for applications such as autonomous driving and robot navigation. However, optical sensors such as cameras and LiDAR often fail under adverse conditions, including smoke, fog, and non-ideal lighting. Alt... read more 

Unlocking Multi-Site Clinical Data: A Federated Approach to Privacy-First Child Autism Behavior Analysis

arXiv
Automated recognition of autistic behaviors in children is essential for early intervention and objective clinical assessment. However, the development of robust models is severely hindered by strict privacy regulations (e.g., HIPAA) and the sensitiv... read more 

Wavelength-multiplexed massively parallel diffractive optical information storage and image projection

arXiv
We introduce a wavelength-multiplexed massively parallel diffractive information storage platform composed of dielectric surfaces that are structurally optimized at the wavelength scale using deep learning to store and project thousands of distinct i... read more