Healthcare

Healthcare

Wednesday, October 5th, 2022

Dima Fayyad

At the Institute for Experiential AI, we care about people’s health and wellness. We have several core faculty members with AI health expertise who cover AI for healthcare from multiple scales and various heterogeneous data sources. They work closely with scientists, clinicians, and healthcare providers in designing and developing AI algorithms over a wide range of applications for advancing medicine and healthcare.

Applications of our work include developing AI that helps understand mechanisms of disease, aids in disease diagnosis, and monitors disease progression. We discover and manage treatment plans, analyze the effects of the environment and personal habits on health, survey pandemic analysis, and develop new drug therapies. Examples of diseases our faculty are currently working on include: cancer, mental health, chronic obstructive pulmonary disease, retinopathy of prematurity, preterm birth, autism, diabetes, heart disease, and COVID-19.

Latest Research

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Natural Language Processing

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Life Sciences

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Climate, Sustainability, and Environment

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Cybersecurity

AI has a lot of potential for cybersecurity applications, such as predicting attacker behavior, learning from existing cyber incidents, and taking proactive defensive measures to protect critical infrastructures. Historically, we proposed techniques for detecting advanced cyberattacks in enterprise networks based on creating semantic representations of network logs and endpoint data, using a range of supervised […]