What can ubiquitous radio waves do for healthcare?

Dina Katabi, the principal investigator for AI and health at the MIT Jameel Clinic, is at the forefront of data-driven healthcare. Her research in radio wave data transmission has led to cutting-edge early-detection technology and wireless devices for monitoring patients with Parkinson's and Alzheimer's diseases. Dina speak about the capabilities of AI to decipher continuous data of dynamic diseases.

"All of [these improvements] depend on clinical data," she says. "We are going to collect data, clinical data from patients continuously in their homes, track the symtpoms, the evolution of those symptoms and process this data with machine learning so that we can get insight before problems occur. And we can react to it ... intervene early, avoid hospitalisation and improve outcomes for patients."


Dina Katabi is excited about the potential for artificial intelligence to help with real-time patient monitoring in healthcare.

Katabi is the Andrew & Erna Viterbi Professor of Electric Engineering and Computer Science at MIT, and co-founder of Emerals innovations: Emerald is exploring how to implement data-rich solutions and use them to really improve things like early intervention in a clinical context, providing applications for client companies like Verge Genomics and BlueRock Therapeutics.

Dina Katabi's work shows us how AI can boost capabilities with clinical data. The future of healthcare id data-driven, Katabi said in opening. Continuous clinical data, she added, is important in the future of how healthcare will work.