摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-机器学习的新研究是一篇报道的主题。据新闻报道NewsRx记者源于土耳其Karaman的报道，研究称，“药物诱导的扭转”尖端室性心动过速(TdP)是一种危及生命的多形性室性快速心律失常，因心脏毒性而出现。药物的影响。需要精确的机制和临床生物标志物来检测这种不良影响给药物安全评估带来了巨大的挑战。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating in Karaman, Turke y, by NewsRx journalists, research stated, “Drug-induced Torsadede Pointes (TdP ), a life-threatening polymorphic ventricular tachyarrhythmia, emerges due to th e cardiotoxiceffects of pharmaceuticals. The need for precise mechanisms and cl inical biomarkers to detectthis adverse effect presents substantial challenges in drug safety assessment.”
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