Pouyan Esmaeilzadeh
Challenges and strategies for wide-scale artificial intelligence (AI) deployment in healthcare practices: A perspective for healthcare organizations
Artificial intelligence in medicine
angiogenesis process forming new blood vessels preexisting ones plays crucial role development advancement cancer although blocking angiogenesis shown success treating different types solid tumors relevance prostate adenocarcinoma prad thoroughly investigated study utilized wgcna method identify angiogenesisrelated genes assessed diagnostic prognostic value patients prad cluster analysis diagnostic model constructed using multiple machine learning techniques prognostic model developed employing lasso algorithm underscoring relevance angiogenesisrelated genes prad analysis identified map7d3 significant prognostic gene among angiogenesisrelated genes using multivariate cox regression analysis various machine learning algorithms study also investigated correlation map7d3 immune infiltration well drug sensitivity prad molecular docking analysis conducted assess binding affinity map7d3 angiogenic drugs immunohistochemistry analysis 60 prad tissue samples confirmed expression prognostic value map7d3 overall study identified 10 key angiogenesisrelated genes wgcna demonstrated potential prognostic immunerelated implications prad patients map7d3 found closely associated prognosis prad response immunotherapy molecular docking studies revealed map7d3 exhibits high binding affinity angiogenic drugs furthermore experimental data confirmed upregulation map7d3 prad correlating poorer prognosis study confirmed important role angiogenesisrelated genes prad identified new angiogenesisrelated target map7d3