AI in Healthcare

  • Vital use cases of AI in healthcare
  • The increasingly crowded imaging and diagnostics space
  • Funding, deals flow, and active investors
  • Startups focused on cancer therapeutics and diagnostics
  • Notable deals and the road ahead for AI in healthcare

Artificial Intelligence is changing healthcare. Dozens of investors have started pouring money into startups using AI to solve complicated healthcare problems. 

In 2016 alone, private companies have raised over $550M across 40+ deals (including 50 new companies who’ve raised their first rounds since January 2015).


Join CB Insights Tech Analyst Deepashri Varadharajan for an in-depth look at how machine learning is transforming healthcare. We will go over:


Led by CB Insights Tech Analyst, Deepashri Varadharajan

Your Host

Engineer-turned-journalist Deepashri Varadharajan worked as a documentarian, research assistant, and reporter. Before CB Insights, Deepashri spent her time as a production assistant at Al Jazeera America. 

Trained at Columbia University and the Indian Institute of Journalism & New Media, she now focuses on the tech industry.

Deepashri Varadharajan

Tech Industry Analyst & Writer


About CB Insights

Our team comes to work every day to build technology that helps corporations guess less and win more.

We aggregate and analyze massive amounts of data and use machine learning, algorithms and data visualization to help corporations replace the three Gs (Google searches, gut instinct and guys with MBAs) so they can answer massive strategic questions using probability not punditry.

Questions Like:

Which disruptive companies should we worry about?

Which emerging trends could kill us?

What new markets should we enter?

What is our competitor's strategy?

Who should we acquire?

Who should we invest in?

Who is our next customer?

Who are the S&P 500 of tomorrow?

With backing from the National Science Foundation and venture capital investors, we mine terabytes of data and knowledge contained in patents, venture capital financings, M&A transactions, hiring, startup and investor websites, news sentiment, social media chatter, hiring activity, and more. 

Our software algorithmically analyzes this data to help our clients see where the world is going tomorrow, today.