Understanding Common Industry Challenges and Solutions

The use of ML in healthcare and life sciences can have a transformational impact on the industry. It can help find a cure for incurable diseases, prevent the next pandemic, and help healthcare professionals become more efficient at providing care. All of this helps uplift an entire population with a better quality of life and timely care. However, there are some challenges in applying ML to the healthcare and life sciences industry. Healthcare data is extremely private, requiring the highest levels of security. This prevents open sharing and collaboration among researchers to advance this field, getting in the way of innovation. There are also a variety of regulations in place that make it difficult for practical ML applications to be readily used in mission-critical workloads in the industry. Moreover, as ML models become better, they also become more complex. Neural networks (NNs) that have known to be state-of-the-art (SOTA...