Background Gut microbiota dysbiosis is linked to autism spectrum disorder (ASD) in children. However, the role of bacterial ...

Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...

AI is beginning to make inroads into designing and managing programmable logic, where it can be used to simplify and speed up portions of the design process. FPGAs and DSPs are st ...

Master proteomics database searching. Learn how algorithms match mass spectra to sequences and optimize identification.

Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

A flexible foam sensor built from silver selenide detects temperature and pressure simultaneously, enabling a robotic gripper ...

Read more about From disease detection to biomass forecasting: AI improves aquaculture risk strategy on Devdiscourse ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

Introduction Perinatal depression poses substantial risks to both mothers and their offspring. Given its chronic and ...

This study presents a bio-inspired control framework for soft robots, enhancing tracking accuracy by over 44% under disturbances while maintaining stability.

Optokinetic Nystagmus (OKN) is a natural reflexive eye movement in oculomotor studies, reflecting the health status of the visual system. Through accurate eye center annotation, physicians can observe ...