Artificial Intelligence Medical Compendium

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

Showing 2,351 to 2,360 of 166,891 articles

Redesigning miR-34a: structural and chemical advances in the therapeutic development of an miRNA anti-cancer agent.

Biochemical Society transactions
MicroRNAs (miRNAs) represent a promising class of therapeutics due to their ability to down-regulate multiple genes simultaneously. This offers a significant therapeutic advantage in cancer, where heterogeneity often activates different pathways in d... read more 

Optimizing FCN for devices with limited resources using quantization and sparsity enhancement.

Scientific reports
This study addresses the optimization of fully convolutional networks (FCNs) for deployment on resource-limited devices in real-time scenarios. While prior research has extensively applied quantization techniques to architectures like VGG-16, there i... read more 

Classification of patients with relapsed/refractory large B-cell lymphoma who do not develop early CRS/NE toxicity using ZUMA clinical trial data.

Journal for immunotherapy of cancer
BACKGROUND: We aimed to develop an actionable and feasible prospective clinical model to estimate toxicity risk to assist chimeric antigen receptor (CAR) T-cell therapy providers with the management of patients with relapsed and/or refractory large B... read more 

Harnessing the Potential of Carotenoids for Cancer Therapy: An Integrated Machine Learning and MST Based Approach.

Phytotherapy research : PTR
Receptor tyrosine kinases (RTKs) are high-affinity membrane-anchored receptors involved in cellular communication via various ligands and manage numerous biological processes such as cell growth, differentiation, and metabolism. However, dysregulatio... read more 

Accurate and Rapid Ranking of Protein-Ligand Binding Affinities Using Density Matrix Fragmentation and Physics-Informed Machine Learning Dispersion Potentials.

Chemphyschem : a European journal of chemical physics and physical chemistry
The generalized many-body expansion for building density matrices (GMBE-DM), truncated at the one-body level and combined with a purification scheme, is applied to rank protein-ligand binding affinities across two cyclin-dependent kinase 2 (CDK2) dat... read more 

FIBOS: R and python packages for analyzing protein packing and structure.

Bioinformatics (Oxford, England)
MOTIVATION: Advances in prediction of the 3D structures of most known proteins through machine learning have achieved unprecedented accuracies. However, although these computed models are remarkably good, they still challenge accuracy at the atomic l... read more 

Frequent longitudinal blood microsampling and proteome monitoring identify disease markers and enable timely intervention in a mouse model of type 1 diabetes.

Diabetologia
AIMS/HYPOTHESIS: Type 1 diabetes manifests after irreversible beta cell damage, highlighting the crucial need for markers of the presymptomatic phase to enable early and effective interventions. Current efforts to identify molecular markers of diseas... read more 

Resilience as a mediator in the relationship between ambidextrous leadership and nurses' positive attitudes towards artificial intelligence.

BMC nursing
BACKGROUND: Leadership plays a pivotal role in adopting new trends within the nursing domain. Yet, the impact of ambidextrous leadership on nurses' positive attitudes towards artificial intelligence is not well understood. Furthermore, the underlying... read more 

Combined nomogram for differentiating adrenal pheochromocytoma from large-diameter lipid-poor adenoma using multiphase CT radiomics and clinico-radiological features.

BMC medical imaging
BACKGROUND AND OBJECTIVE: Adrenal incidentalomas (AIs) are predominantly adrenal adenomas (80%), with a smaller proportion (7%) being pheochromocytomas(PHEO). Adenomas are typically non-functional tumors managed through observation or medication, wit... read more 

Human fall direction recognition in the indoor and outdoor environment using multi self-attention RBnet deep architectures and tree seed optimization.

Scientific reports
Falling poses a significant health risk to the elderly, often resulting in severe injuries if not promptly addressed. As the global population increases, the frequency of falls increases along with the associated financial burden. Hence, early detect... read more