Diagnostic Technology

Advances in cancer diagnostic testing have revolutionized cancer treatment and care. At the Cancer Center at Illinois, scientists are using their multidisciplinary expertise to develop devices and techniques that address a number of limitations of current diagnostics. Currently, many ways to diagnose cancer can be invasive, expensive, limited (requiring additional testing), and require patients to wait days or weeks for a proper diagnosis. CCIL researchers are developing improved imaging techniques and molecular measurement devices –  they can detect specific biologic molecules, or biomarkers, in a patient’s tissue and fluid samples – to tackle these issues.

Learn more about the CCIL’s research program themes dedicated to diagnostic technology.

Departments

Computer Science, Electrical & Computer Engineering, Bioengineering, Veterinary Clinical Medicine

Researchers

Image of Rashid Bashir

Rashid Bashir

Dean, College of Engineering

Professor, Bioengineering

Image of Rohit Bhargava

Rohit Bhargava

Director

Professor, Bioengineering

Stephen Boppart Head Shot

Stephen Boppart

Program Leader, Cancer Measurement Technology

Professor, Electrical and Computer Engineering; Professor, Bioengineering

Brian Cunningham Portrait

Brian Cunningham

Program Leader, Cancer Measurement Technology

Professor, Electrical and Computer Engineering; Professor, Bioengineering

Fan Timothy Headshot

Timothy Fan

Program Leader, Cancer Discovery Platforms

Professor, Veterinary Clinical Medicine

Image of Hua Li

Hua Li

Adjunct Research Associate Professor, Bioengineering

Medical Physicist, Carle Cancer Center

Image of Zhi-Pei Liang

Zhi-Pei Liang

Professor, Electrical and Computer Engineering

Image of Shuming Nie

Shuming Nie

Professor, Bioengineering

Image of Michael Oelze

Michael Oelze

Professor, Computer and Electrical Engineering

Image of Gabriel Popescu

Gabriel Popescu

Professor, Electrical & Computer Engineering

Image of Pengfei Song

Pengfei Song

Assistant Professor, Electrical and Computer Engineering