Ensuring privacy and compliance of AI

Ensuring privacy and compliance of AI

Continuing with my series on AI, today I want to discuss the following question: How to make healthcare data available for clinical and life science research while leveraging AI in a safe and compliant manner?  There are four aspects to compliance in healthcare...
Improving ovarian cancer outcomes with EHR data

Improving ovarian cancer outcomes with EHR data

By the time most women with ovarian cancer are diagnosed, 70-80% are already at an advanced stage of the disease. Despite declining mortality rates over the past decade, the 5-year survival rate for patients with ovarian cancer remains less than 30%. Sometimes...
Scaling AI models for growth

Scaling AI models for growth

In this blog I will discuss our approach to scaling our AI technologies across multiple dimensions while controlling development costs, operational costs, and assuring stability. LLMs are a powerful new technology, but they also have large development, operational,...
Delivering accuracy and explainability for AI

Delivering accuracy and explainability for AI

In this post, I would like to discuss the way we addressed the following challenge: How to ensure that the AI technologies used in our platform have requisite accuracy and explainability while assuring fairness and avoidance of bias Healthcare and life science...