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A photograph of a microfluidic chip.

Scientists ‘Farm’ Natural Killer Cells in Novel Cancer Fighting Approach

Engineers and oncologists teamed to develop a microfluidic chip capable of capturing the body’s natural killer immune cells to harvest their cancer-killing exosomes.|Medium Read
the particule making process

Nanomedicine crosses into brain, eradicates recurring brain cancer in mice

The new approach helped seven out of eight mice fight off glioblastoma, the most common and aggressive form of adult brain cancer. |Medium Read
Kamal Sarabandi and Navid Barani

Improving cancer and disease treatments by understanding electromagnetic communication among biological cells

Prof. Kamal Sarabandi and ECE PhD student Navid Barani won a best paper award for their research on how biological cells may use electromagnetic signal transmission to communicate.|Short Read
New Michigan Medicine research uncovers how pancreatic cancer cells (right) reprogram cancer-associated fibroblasts (left), setting in motion a process that converts available nutrients into a form more easily used by the cancer cells: branched-chain alpha-ketoacids (BCKAs). The researchers believe new therapies could potentially short-circuit this process.

Study suggests method to starve pancreatic cancer cells

Rather than attacking cancer cells directly, new cell-model research probes weaknesses in pancreatic cancer’s interactions with other cells to obtain nutrients needed for tumor growth.|Medium Read
Illustration of growing cancer tumor.

New machine learning method improves testing of stem-like tumor cells for breast cancer research

To improve the prediction and identification of stem-like cancer cells, Prof. Euisik Yoon’s group developed a method that is 3.5 times faster than the standard approach. |Short Read
Tejas Navaratna in the lab

Cancer: Faster screening to hit “undruggable” targets

Coiled proteins could stop cancer and other diseases from overriding signals within cells. |Medium Read
Image of Cancer spheres treated by doxorubicin.

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. |Medium Read
Artistic render of cells in the body

Implantable cancer traps could provide earlier diagnosis and help monitor treatment

Synthetic scaffolding could detect multiple types of cancers before they start to spread.|Medium Read
Fibronectin network with cells.

Patient cancer cells reliably grow on new 3D scaffold, showing promise for precision medicine

While previous structures guessed at the environment that cells would want, the new design lets the cells build to their own specifications.|Medium Read
Biomedical Engineering graduate student research assistant Menglian Zhou, adjusts the lung monitoring device.

Shoe-box size breath-analyzer spots deadly lung disease faster, more accurately than doctors

The device could also be used to detect other diseases such as pneumonia, sepsis, asthma and others associated with lung or systemic blood inflammation.|Medium Read

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.|Medium Read

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.|Medium Read