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公式動画&関連する動画 [CAR-T Side Effects Don't Have to Be Caught Late]
Machine learning is reshaping the safety profile of CAR T-cell therapy. This approach captures the early warning signs of severe ICANS, allowing clinicians to ensure it reaches maximum efficacy while prioritizing patient outcomes at every stage.
Medidata’s Research Alliance partnered with Esther Nie, MD, PhD: neuroscientist and neurologist, previously at Stanford University, to develop a way to anticipate risk earlier. This predictive algorithm identifies nuanced data patterns that precede adverse events, providing a clearer, safer path forward for patients whose lives depend on it.
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