This talk examines the crucial need for de-identifying protected health information (PHI) in unstructured patient-level data to harness its potential while ensuring compliance with legal and privacy requirements. With an...
Algorithms have intrinsic biases which can create systematic errors in real-world applications. These errors often yield unintended outcomes that can degrade performance, reliability, and trust. In this talk, Gaurav Kaushik,...
In this talk, you will learn how to: – Train Sentence Transformers with little labeled data using a technique called SetFit recently released by Hugging Face and Intel Labs– Compress...
Clinical trials play important roles in drug development but they often suffer from expensive, inaccurate and insufficient patient recruitment. 50% of trials are delayed due to patient recruitment issues and...
The computations required for deep learning research have been doubling every few months, resulting in an estimated 300,000x increase from 2012 to 2018. This trend has led to unprecedented success...
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