Artificial Intelligence Medical Compendium

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

Showing 30,191 to 30,200 of 220,100 articles

Auxiliary Clinical Prompt Integration into Vision-Language Prompt SAM for Brain Tumor Segmentation

medRxiv
Background. Adult diffuse glioma is a representative class of primary brain tumors for which accurate MRI-based tumor segmentation is indispensable for treatment planning. Conventional automated segmentation methods have relied primarily on image inf... read more 

Data Matters: The Impact of Data Curation in the Classification of Histopathological Datasets

medRxiv
In this work, the impact of outliers on the performance of machine learning and deep learning models is investigated, specifically for the case of histopathological images of colorectal cancer stained with Haematoxylin and Eosin. The evaluation of th... read more 

PrivateBoost: Rethinking Federated Learning for Patient-Owned Medical Data: Learning from Single Records at Scale

medRxiv
The translation of artificial intelligence into clinical practice depends, in large part, on access to data that patients are understandably reluctant to surrender. Federated learning promises to resolve this tension by training models without centra... read more 

Integrating glycosylation in de novo protein design with ReGlyco Binder Design Filter

bioRxiv
Artificial Intelligence (AI)-based methods for 3D protein structure prediction are revolutionising structural biology, providing novel templates for experimental data refinement and an on demand 3D perspective on any molecular architecture and protei... read more 

Mass cytometry data integration methods reveal rural-urban gradient of immune profiles across geography

bioRxiv
The human immune system strongly varies across populations and is shaped by a wide range of host and environmental factors. As such, a rural compared to urban lifestyle has previously been associated with baseline differences in immune profiles, whic... read more 

Informational and methodological differences in regional structure-function coupling in modeling approaches

bioRxiv
Structural connectivity in the human brain constrains functional connectivity, which in turn reshapes structural connectivity, resulting in complex coupling relationships. Numerous approaches exist for quantifying structure-function coupling, and dif... read more 

ORION: An agentic reasoning construct for the analysis of complex human immune profiling

bioRxiv
The capacity to generate high-dimensional biological datasets has outpaced the ability to interpret them. Technologies such as phage immunoprecipitation and sequencing (PhIP-seq) enable proteome-scale profiling of antibody repertoires, but interpreti... read more 

The Euler Characteristic Transform Enables Classification of Complex Plant Shapes and Prediction of Leaf Venation from Blade Geometry

bioRxiv
Rationale: Quantifying and predicting plant morphology is central to understanding development and evolution, yet many plant forms lack homologous features required for traditional morphometrics. We apply the Euler Characteristic Transform (ECT), an ... read more 

Over-the-horizon extinction risk assessment reveals rapidly shifting geographic and taxonomic priorities for conservation

bioRxiv
A central challenge in conservation is understanding how climate change interacts with other global change drivers to shape future species extinction risk, threatened species hotspots, and the effectiveness of protected areas. Here, we use an integra... read more 

Strain- and age-dependent divergence in mouse appetitive spatial learning and decision strategies

bioRxiv
Animals rely on associative spatial memory to navigate toward previously learned, reward-associated goals. This reward-guided navigation is supported by the hippocampus and its interactions with cortical and subcortical regions: processes which are v... read more