Artificial Intelligence Medical Compendium

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

Showing 65,121 to 65,130 of 231,904 articles

Neural Decoding of Ultrasound-Modulated Pain States via Deep Learning: Insights from Functional Magnetic Resonance Imaging Data.

Cancer biotherapy & radiopharmaceuticals
Focused ultrasound (FUS) is a noninvasive neuromodulation technique capable of modulating deep-brain circuits with millimeter precision. When combined with functional magnetic resonance imaging (fMRI), it enables causal decoding of brain-state dynami... read more 

Sex and Stress Govern the Function and Innervation of a Basolateral Amygdala to Nucleus Accumbens Corticotropin-Releasing Hormone/GABA-Expressing Projection.

The Journal of neuroscience : the official journal of the Society for Neuroscience
Motivated behaviors are executed by refined brain circuits. Early-life adversity (ELA) is a risk for human affective disorders involving dysregulated reward behaviors. In mice, ELA causes anhedonia-like behaviors in males and augmented reward motivat... read more 

GATE 10 Monte Carlo particle transport simulation: II. Architecture and innovations.

Physics in medicine and biology
Over the past years, we have developed GATE version 10, a major re-implementation of the long-standing Geant4-based Monte Carlo application for particle and radiation transport simulation in medical physics. This release introduces many new features ... read more 

TCR representation learning with protein language models: a comprehensive review.

International immunology
The T-cell receptor (TCR) repertoire is a valuable source of information that reflects an individual's immune status and infection history. However, due to the exceptional diversity and complexity of the TCR repertoire, predicting its functional prop... read more 

The interlocking process in molecular machines explained by a combined approach: the nudged elastic band method and machine learning potential.

Chemical science
Engineering molecular machines requires a precise knowledge of the mechanisms involved in programmed motions. Among artificial molecular machines, rotaxanes have emerged as a prominent model due to their ability to perform diverse and controlled moti... read more 

A comparative scoping review approach: identifying the intersection of carbon, biodiversity, and water offsetting.

MethodsX
Environmental and climate policies, as well as the knowledge underpinning them, are often developed in isolation. This is evident in offsetting research and policy, which tend to address carbon, biodiversity, and water as separate issues. This paper ... read more 

A dataset of acoustics emissions recordings of woodboring insects in wood and cultural objects, context images and remarks.

Data in brief
This dataset presents acoustic emission (AE) recordings collected from woodboring insect-infested and non-infested wood samples and cultural heritage objects. Data acquisition was conducted across four institutions: Haute École Arc (HE-Arc), Switzerl... read more 

PMNO: A novel physics guided multi-step neural operator predictor for partial differential equations.

Neural networks : the official journal of the International Neural Network Society
Neural operators, which aim to approximate mappings between infinite-dimensional function spaces, have been widely applied in the simulation and prediction of physical systems. However, the limited representational capacity of network architectures, ... read more 

Non-contact identification of opportunistic pathogens in mixed biofilm contaminations by hyperspectral imaging.

Analytica chimica acta
BACKGROUND: Biofilms are present on almost all surfaces in households, healthcare and medical equipment, foods, industrial and water supply systems, and often contain opportunistic pathogens that represent one of the key public health hazards. The hi... read more 

Programmable Smart CAR-T design: A new paradigm in precision immunotherapy driven by logic gates, conditional activation, allogeneic strategies, and artificial intelligence.

Cancer letters
Chimeric antigen receptor T-cell (CAR-T) therapy has achieved unprecedented success in hematological malignancies but faces formidable challenges in solid tumors. These limitations include severe "on-target, off-tumor" toxicity, antigen heterogeneity... read more