Given the vast amounts of data available, including raw measurements, diagnostic information, treatment plans, and regulatory guidelines, the biomedical technologies sector stands to gain immensely from artificial intelligence (AI), particularly machine learning (ML).
ML, at its core, learns from training datasets to identify patterns, which can then be applied to new input data to make direct inferences. For instance, if specific body scans frequently result in a particular diagnosis, ML can be used to quickly provide that diagnosis when similar scans are encountered, thus aiding in disease diagnosis.
Read the full article by Duane Morris partner Agatha H. Liu, PhD on the MD+DI website.
#HelloWorld. In this issue, we zoom in on the world of AI model training, looking at both dataset transparency and valuation news. Then we zoom out, highlighting Stanford’s helpful summary of 2023 AI regulations and hot-off-the-press ethical guidance on AI use for lawyers from the New York State Bar. It may be a grab bag, but it’s one worth grabbing. Let’s stay smart together. (