Publications by authors named "Taylor Lim"
Article Synopsis
- Cognitive biases in clinical decision-making lead to misdiagnoses and hurt patient outcomes, making it essential to find solutions in the medical field.
- The study explores how large language models (like GPT-4) can help reduce these biases through a multi-agent framework that simulates clinical team interactions to enhance diagnostic accuracy.
- Results showed that while initial diagnoses were completely inaccurate, using the multi-agent framework improved the accuracy of final differential diagnoses to 76%, indicating its potential as a valuable tool in medical decision-making.
Objective: Gestational trophoblastic disease (GTD) is a group of pregnancy-related disorders that arise from abnormal proliferation of placental trophoblast. Some patients with GTD develop hyperthyroidism, a rare but potentially life-threatening complication requiring early detection and management. Existing literature on hyperthyroidism in GTD is scant.
View Article and Find Full Text PDFMYCN is a major driver for the childhood cancer, neuroblastoma, however, there are no inhibitors of this target. Enhanced MYCN protein stability is a key component of MYCN oncogenesis and is maintained by multiple feedforward expression loops involving MYCN transactivation target genes. Here, we reveal the oncogenic role of a novel MYCN target and binding protein, proliferation-associated 2AG4 (PA2G4).
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