Artificial Intelligence Medical Compendium

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

Showing 73,731 to 73,740 of 235,678 articles

Analysis of Protein-Protein Interactions in CC125 by Co-Fractionation Mass Spectrometry.

Journal of proteome research
, a unicellular eukaryotic green alga, is an important biological model. Previous studies on protein complexes in have primarily focused on photosynthesis and ciliary movement, while understanding the overall protein complex network is still limited... read more 

A Network-Driven Framework for Drug Response Precision Prediction of Acute Myeloid Leukemia.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Acute myeloid leukemia (AML) is a clonal malignancy of myeloid progenitor cells that demonstrates highly variable responses to current regimens, highlighting the need for precision medicine. However, reliable biomarkers for precision medicine treatme... read more 

Mastering a robot workforce: review of single human multiple robots systems and their impact on occupational safety and health and system performance.

Ergonomics
As highly autonomous mobile robots increasingly integrate into workplaces, they still require human oversight despite advances in artificial intelligence (AI). single human multiple robot (SHMR) systems enable one operator to monitor and control mult... read more 

Automated rowing event assignment: a machine learning approach.

Sports biomechanics
The purpose of the study was to assign rowers to different rowing events based on their demographics and rowing kinematics using machine learning models. A total of 55 elite athletes from the Chinese National Rowing Team participated, each instructed... read more 

Machine learning-selected minimal features drive high-accuracy rule-based antibiotic susceptibility predictions for via metagenomic sequencing.

Microbiology spectrum
Antimicrobial resistance (AMR) represents a critical global health challenge, demanding rapid and accurate antimicrobial susceptibility testing (AST) to guide timely treatments. Traditional culture-based AST methods are slow, while existing whole-gen... read more 

SBC-SHAP: Increasing the Accessibility and Interpretability of Machine Learning Algorithms for Sepsis Prediction.

The journal of applied laboratory medicine
BACKGROUND: Sepsis is a life-threatening condition that is one of the major causes of death worldwide. Early detection of sepsis is required for fast initialization of an appropriate therapy. Complete blood count data containing information about whi... read more 

Characteristics and Validity of Commercially Available Technologies Analyzing Voice Features to Assess Parkinson's Disease.

Movement disorders clinical practice
BACKGROUND: Interest in technologies for quantitative assessment of Parkinson's disease (PD) is growing, particularly those enabling voice and speech analysis. However, clinical validation varies widely, much algorithm data remain unpublished, and re... read more 

A systematic review and narrative summary of the therapeutic potential of classic serotonergic psychedelics for smoking cessation and reduction.

Journal of psychopharmacology (Oxford, England)
BACKGROUND: Classic serotonergic psychedelics are 5-HT2A partial agonists that induce non-ordinary states of consciousness. Many have demonstrated anti-addictive properties; however, their impact on smoking behaviors remains under-researched. This re... read more 

Machine Learning Potential-Driven Investigation of NEPE Matrix: Mechanical Properties and Failure Mechanism.

The journal of physical chemistry. B
The mechanical properties of nitrate ester plasticized polyether (NEPE) propellant are critical in determining the safety and performance of solid rocket engines. However, understanding the failure mechanisms at atomic to micron scales remains a pers... read more 

Self-Assembly MXene/PDA@Cotton Fabric Pressure Sensor Integrated with Deep Learning for Sign Language Recognition.

ACS applied materials & interfaces
In recent years, smart textiles and flexible wearable products have garnered significant attention in fields such as human-computer interaction, medical rehabilitation training, and motion monitoring. Flexible pressure sensors have attracted signific... read more