Clinical Trial Data Analysis
Alex discusses using patient similarities to make clinical trial recommendations, bypassing traditional eligibility criteria. Kyle explores avoiding bias in the process and the importance of defining what variables to cluster on. The conversation delves into supervised metric learning and balancing the needs of various clinical trials.In this clip
From this podcast
Data Skeptic
ML at Sloan Kettering Cancer Center
Related Questions