Artificial intelligence for prostate cancer diagnostics – Nature
Artificial intelligence for prostate cancer diagnostics NatureExperts discuss the transformative potential of AI for BPH Urology TimesHow Marc Benioff paired…
Development and internal validation of an AI-based emergency triage model for predicting critical outcomes in emergency department
This study demonstrates the potential of machine learning models to predict ICU admission from the ED more accurately…
Integrating miRNA profiling and machine learning for improved prostate cancer diagnosis
PCa diagnosis remains challenging, particularly in differentiating it from BPH, as both conditions share overlapping clinical features. The…
Integrative machine learning models predict prostate cancer diagnosis and biochemical recurrence risk: Advancing precision oncology
Identification of BCR related genes based on Weighted gene co-expression network analysis (WGCNA) WGCNA is a systems biology…
Investigation of key ferroptosis-associated genes and potential therapeutic drugs for asthma based on machine learning and regression models
Identification of DEGs in asthma Principal Component Analysis (PCA) revealed distinct differences in gene expression between asthma and…
Access to digital health technologies: personalized framework and global perspectives
World Health Organization. Fifty-Eighth World Health Assembly. Geneva, 16–25 May 2005: Resolutions and Decisions Annex. WHO iris.who.int/bitstream/handle/10665/20398/A58_2005_REC1-en.pdf?sequence=1&isAllowed=y (2005).…