AIMC Topic: Machine Learning

Clear Filters Showing 1231 to 1240 of 34417 articles

Machine Learning-Assisted 3D SERS Chip with Acoustic Enrichment for High-Accuracy Diagnosis of Respiratory Viruses and Emerging Pathogens.

ACS sensors
Outbreaks of SARS-CoV-2, first investigated as an unknown pathogen, have reflected the severe threat that pathogen X poses to public health and social security. Early and precise diagnosis and classification of infectious respiratory diseases with si...

The Identification of Biological Stains at Crime Scenes: A Promising Role for Proteomics and Machine Learning.

Analytical chemistry
Forensic body fluid identification is crucial for reconstructing crime scene events. While DNA analysis provides individualization, it lacks information about the fluid's origin. We developed and evaluated three complementary proteomic approaches usi...

Machine learning-assisted triboelectric nanogenerator technology for intelligent sports.

Science advances
The rapid development of internet of things, big data, and artificial intelligence is propelling sports science into a data-driven era, demanding real-time, multidimensional athletic performance monitoring. Triboelectric nanogenerators (TENGs) have d...

Discovering of novel umami-enhancing peptides from Flammulina filiformis: Combining virtual screening, machine learning, molecular dynamics simulations, and sensory evaluation.

Food chemistry
This research employed integrated machine learning and bioinformatics approaches to identify umami-enhancing peptides from Flammulina filiformis, elucidate their mechanisms of umami augmentation, and validate their efficacy through sensory evaluation...

Machine Learning-Integrated Electrochemical Sensors for Accurate and Continuous Free Chlorine Monitoring.

ACS sensors
Accurate and continuous monitoring of free chlorine concentrations is essential for ensuring water safety in applications such as drinking water disinfection and food sanitation. Traditional methods for free chlorine detection, including colorimetry ...

Rehabilitation, neuroplasticity, and machine learning: Approaching artificial intelligence for equitable health systems.

Neuroscience
Recently, technology has evolved significantly in the rehabilitation process for neurological disorders and neurodegenerative diseases, focusing on neuroplasticity. Neuroplasticity, as a fundamental base of brain rehabilitation, is the change in the ...

Screening and experimental study of potential biomarkers for ulcerative colitis based on weighted gene co-expression network analysis and machine learning.

Journal of translational medicine
BACKGROUND: Ulcerative colitis (UC) is a chronic nonspecific inflammatory intestinal disease affecting the mucosa and submucosa, characterized by continuous and diffuse active inflammation. However, its underlying pathogenesis remains unclear.

Combining radiomics of X-rays with patient functional rating scales for predicting satisfaction after radial fracture fixation: a multimodal machine learning predictive model.

BMC musculoskeletal disorders
BACKGROUND: Patient satisfaction after one year of distal radius fracture fixation is influenced by various aspects such as the surgical approach, the patient's physical functioning, and psychological factors. Hence, a multimodal machine learning pre...

Combined effect of salt stress and high light in plants: from basic statistical approach to machine learning methods.

BMC plant biology
Infrared thermal imaging offers a rapid and sensitive approach to assessing temperature changes in plants caused by salt stress, even in the early stages of exposure. Given the increasing prevalence of salt contamination in the environment, it is ess...

Testing regular expression searches and machine learning models to determine housing instability and low income status from primary care electronic medical record data in Toronto, Ontario.

BMC public health
BACKGROUND: Housing and income are important social determinants of health (SDoH). Primary care providers often do not have information about these determinants, which could be used to support equitable health system planning and care delivery. The a...