Transparency is a Misplaced Regulatory Focus for Holding Adaptive Software as Medical Devices (SaMDs) Accountable
Quy Mai Adaptive Software as Medical Devices (SaMDs) play an increasingly critical role within clinical settings, assisting physicians with illness detection, diagnosis, and analysis. Use of Artificial Intelligence/Machine Learning (AI/ML) techniques, such as deep machine learning and neural networks, lends adaptive SaMDs unparalleled analytical power, but not without risks. Adaptive SaMDs are typically “black-box,” meaning that they compute data such that no one can determine how it rendered outputs. “Transparency,” in the form of explainability, is frequently raised in policy discussions as a solution to track when the SaMD has erred in computing outputs. The FDA, in seeking to uphold...
Expanding the Patent Eligibility of Diagnostic Tests and Their Methods
Jo-an Chen There is ongoing debate over whether diagnostic tests and their methods should be patent eligible. As it stands today, these tests are largely unpatentable given the restrictive interpretation of patent eligibility laws in the United States. Some argue that patent claims directed to observing a law of nature, such as diagnostic tests, should remain patent ineligible to prevent an inventor from monopolizing basic tools of science. Others argue that diagnostic tests should be patent eligible to incentivize and encourage similar types of socially beneficial discoveries and inventions. This Essay agrees with the policy rationale for expanding the patent...