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September 30, 2024
Researchers in the lab of Caltech’s Changhuei Yang, along with colleagues from the Keck School of Medicine of USC, have developed a laser-based device that can measure blood flow noninvasively and differentiate stroke risk based on current physiological conditions.
May 20, 2024
How Wearable Sensors Will Transform the Practice of Medicine
March 19, 2024
A new technique takes advantage of specially linked, or entangled, photon pairs to obtain higher-resolution images of samples, including biological materials.
March 6, 2024
Lung cancer patients and their physicians could benefit greatly from improved methods of determining which cases will spread to the brain. Now a team from Caltech and Washington University School of Medicine has shown that AI can outperform pathologists in making such predictions. What the AI algorithm "sees" could hold the key to future therapeutics.
November 17, 2022
Electronic and photonic chips are integrated into one another to achieve ultra-efficient data transmission.
- Andrew and Peggy Cherng Professor of Electrical Engineering and Medical Engineering; Executive Officer for Electrical Engineering; Director, Center for Sensing to Intelligence
Azita Emami
We have a unique opportunity at Caltech to transform the way we connect the information world with the physical world, and that can lead to a whole new generation of smart devices and instruments.
- Bren Professor of Medical Engineering and Electrical Engineering; Andrew and Peggy Cherng Medical Engineering Leadership Chair; Executive Officer for Medical Engineering
Lihong Wang
This is the only single-breath-hold technology that gives us high-contrast, high-resolution, 3-D images of the entire breast. Our goal is to build a dream machine for breast screening, diagnosis, monitoring, and prognosis [that is] fast, painless, safe, and inexpensive.
- Assistant Professor of Medical Engineering; Investigator, Heritage Medical Research Institute; Ronald and JoAnne Willens Scholar
Wei Gao
Wearable sweat sensors have the potential to rapidly, continuously, and noninvasively capture changes in health at molecular levels. They could enable personalized monitoring, early diagnosis, and timely intervention.