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Using machine learning to detect disease before symptoms manifest
  1. Using machine learning to detect disease before symptoms manifest

    Prof. Alfred Hero speaks to ECE about his work using data to predict the transmission of infectious disease among people who are pre-symptomatic or asymptomatic and how it relates to COVID-19.

  2. Enabling large-scale testing of cancer drugs with machine learning

    Prof. Euisik Yoon and his team developed a new machine learning tool that enables large-scale testing of cancer drug effectiveness with microfluidics.

  3. Kirigami can spin terahertz rays in real time to peer into biological tissue

    The rays used by airport scanners might have a future in medical imaging.

  4. Prof. Louise Willingale creates extreme plasma conditions using high-intensity laser pulses

    Willingale’s research in plasma physics advances many research areas from spectacular astrophysical phenomena to cancer treatment to fusion power.

  5. By Cannibalizing Nearby Stromal Stem Cells, Some Breast Cancer Cells Gain Invasion Advantage

    Cancer biologists and engineers collaborated on a device that could help predict the likelihood of breast cancer metastasis.

  6. Laura Balzano aims to improve precision medicine as a Fulbright Scholar

    Balzano will work with Portuguese researcher Mário Figueiredo to develop new machine learning methods impacting medical diagnosis and treatment.

  7. Blood biopsy: New technique enables detailed genetic analysis of cancer cells

    Capturing cancer cells from blood samples offers a non-invasive way to observe whether the cancer is disappearing or whether it is becoming resistant to the treatment.

  8. Unravelling the mysteries of bacterial communication

    EECS-ECE PhD student Navid Barani received the IEEE APS Doctoral Research Award for his work modeling how bacteria use electromagnetic waves to communicate, which could lead to medical breakthroughs.

  9. 2018 Nobel Prize Laureate Gérard Mourou talks high-intensity optics

    Gérard Mourou, Professor Emeritus of EECS, returned to campus to discuss winning the Nobel Prize and his work in high-intensity optics.

  10. Extreme light: Nobel laureate discusses the past & future of lasers

    Lasers of tomorrow might neutralize nuclear waste, clean up space junk and advance proton therapy to treat cancer, says Gerard Mourou.