Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.
AI algorithms have demonstrated a sensitivity of approximately 91% in detecting early dental caries, compared to 84% for ...
Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...
A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
Read more about From disease detection to biomass forecasting: AI improves aquaculture risk strategy on Devdiscourse ...
Conventional electronic noses rely on arrays of chemical sensors whose electrical responses are often affected by humidity, temperature fluctuations, and long-term drift. While these systems have ...
Artificial intelligence is emerging as one of the most influential forces reshaping modern surgical practice. Over the past decade, surgical teams have faced rising complexity in cases, expanding ...
Explore technical features and comparative strengths of MaxQuant, Proteome Discoverer, FragPipe, and DIA-NN workflows.
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
Could the Innovation in Non-Human Identities Be the Key to Enhanced Secrets Security? Where progressively leaning towards automation and digital transformation, how can we ensure that the creation and ...
AI-enabled stethoscopes can detect heart valve disease and help screen for tuberculosis earlier. New research shows how digital stethoscopes may improve frontline diagnosis.
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