IQVIA艾昆纬:2026年值得信赖的AI/ML用于患者分析和研究报告(英文版)
IQVIA艾昆纬:2026年值得信赖的AI/ML用于患者分析和研究报告(英文版).pdf |
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Life sciences are being transformed by Artificial Intelligence (AI) and Machine Learning (ML). But with that transformation comes a critical question: How do we unlock value from sensitive health data without undermining trust, transparency, or control? Traditional safeguards are no longer enough in an era of AI/ML, where subtle patterns can be used — or misused — in unanticipated ways. The stakes are especially high in healthcare, where data utility must be balanced with rigorous protection.
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