Researchers develop a 96% accurate AI-powered retinal scan to distinguish between Alzheimer’s and ALS by detecting specific protein deposits.
Read more about AI-driven air quality system promises faster, more reliable urban health warnings on Devdiscourse ...
However, inconsistent travel times and unpredictable congestion continue to undermine service reliability, particularly in ...
A study published in The Journal of Engineering Research (TJER) at Sultan Qaboos University presents an advanced intrusion detection system (IDS) designed to improve the accuracy and efficiency of ...
A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.
A machine learning-driven framework accurately predicts MPA exposure and supports individualized dosing in childhood-onset LN.
The other is to invest in high-fidelity digital twins which are deemed to be powerful but costly, data-hungry, and often slow to implement. A practical middle ground is emerging: the disruption-aware ...
Background Remission and low-disease activity are recommended targets in systemic lupus erythematosus (SLE), yet many ...
How will the public retain confidence in a system that rests on the painstaking articulation of reasoned logic as more and ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results