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Precision Health

Enabling stroke victims to "speak"

Stroke victims may regain the ability to read, write and speak with the help of technology developed by David Blaauw and Cindy Chestek.

Using ML to design new types of medicine

Doctoral student Matthew Raymond wants to facilitate the development of new and groundbreaking nanomedicines.
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Enabling stroke victims to “speak”: $19M toward brain implants to be built at U-M

Stroke victims may regain the ability to read, write and speak with the help of technology developed by David Blaauw and Cindy Chestek.

Bridging gaps in rural health care with AI-powered mobile clinics

General practitioners with AI help could make diagnoses, run and interpret tests, and perform procedures like specialists.

Jesse Codling receives ACM BuildSys 2024 paper award for work on heart rate monitoring

Codling’s project, aptly named “FloHR,” uses geophones to measure human heart rate through floor vibrations in home environments.

In vivo wireless readings from a bile duct stent sensor in a pig

New magnetoelastic sensor within a stent transmits information about potential blockages, demonstrating potential use for a wide range of body sizes.

Matthew Raymond recognized for research using ML techniques to design new types of medicine

Doctoral student Matthew Raymond wants to facilitate the development of new and groundbreaking nanomedicines.

Pei Zhang will contribute to a new NSF Center for Insights into the Pre-Emergence Phase of Pandemics

Prof. Zhang will develop sensor systems to model the movement and risk factors of animal populations in disease spread as part of the interdisciplinary NSF center.

Joseph Costello awarded Rackham Predoc to support research on brain-machine interfaces

Costello is working to restore mobility to individuals by developing improved brain-machine interfaces.

Anjali Devi Sivakumar awarded Barbour Scholarship to support her research on analytical wearables for health monitoring

Sivakumar is developing analytical devices to measure and analyze insensible, or vapor, sweat for disease diagnosis.

Clinicians could be fooled by biased AI, despite explanations

Regulators pinned their hopes on clinicians being able to spot flaws in explanations of an AI model's logic, but a study suggests this isn't a safe approach.

New kind of superresolution explores cell division

Interactions between structures at the nanoscale sync up with the way the whole cell contracts and expands during this vital process.

Nanobiotics: AI for discovering where and how nanoparticles bind with proteins

A new tool in the fight against superbugs goes beyond protein folding simulations like AlphaFold, potentially revealing antibiotic candidates.

A brain game may predict your risk of infection

When a person's cognitive function is highly variable, they're likely to be more infectious and have more symptoms after exposure to a respiratory virus.

New non-invasive optical imaging approach for monitoring brain health could improve outcomes for traumatic brain injury patients

The SCISCCO system could better monitor brain and organ metabolism, helping to diagnose concussions, monitor cerebral metabolism in traumatic brain injury patients, and gauge the response of organs to treatments in an operating or emergency room scenario.

Best paper for a low-power ADC circuit for brain-machine interface applications

Euisik Yoon’s team, led by Sungjin Oh, developed a low-power neural recording front-end circuit to interface with state-of-the-art neural probes.

A view into what’s really happening during gene editing for Precision CRISPR

Prof. Somin Lee and her research group developed a way to reduce trial and error in gene editing by getting a look at the process in real time

Next generation neural probe leads to expanded understanding of the brain

The hectoSTAR probe, with 128 stimulating micro-LEDs and 256 recording electrodes integrated in the same neural probe, was designed for some stellar brain mapping projects

Designing Synthetic Human Gut Microbiome with AI

Prof. Al Hero was interviewed and gave a presentation about his research using machine learning to improve our understanding of the human gut

Machine learning begins to understand the human gut

The new computer model accurately predicts the behavior of millions of microbial communities from hundreds of experiments, an advance toward precision medicine.

ECE alum Mihir Sheth receives Young Innovator Award from Innovate UK for making a medical device that weans patients off ventilators quicker

Sheth is the co-founder of Inspiritus Health and has developed a simple to use, non-invasive medical device that keeps patients’ muscles engaged when they are on a ventilator to prevent muscle atrophy.

Euisik Yoon named IEEE Fellow for groundbreaking research in Bio-MEMS

Prof. Yoon’s research has contributed to a better understanding of the brain, as well as improved detection and treatment of cancer.

High Efficiency Ultraviolet Light Emitting Diodes to sterilize pathogens, including COVID-19

Research led by Prof. Zetian Mi has been honored with the 2020 Editor-in-Chief Choice Award from "Photonics Research."

Precision health in the palm of your hand

Recent breakthrough developments in technologies for real-time genome sequencing, analysis, and diagnosis are poised to deliver a new standard of personalized care.

Touchless respiratory and heart rate measurement for COVID-19 health screening

New technology provides a contactless method to add respiratory rate and heart rate to temperature readings .

Research to improve medical imaging of the brain receives Magna cum Laude Merit award

The interdisciplinary team was able to dramatically speed up the process while potentially doubling the quality of the image

Magna cum Laude Merit Award for research to detect the progress of diseases such as multiple sclerosis

The researchers’ imaging technique is fast, accurate, and reproducible

Research on neural probe that sheds multicolor light on the complexities of the brain recognized for its impact

Prof. Euisik Yoon and his team are recognized for their work designing low-noise, multisite/multicolor optoelectrodes that will help neurologists learn more about neural connectivity in the brain.

Melissa Haskell receives NIH Fellowship for research to improve brain imaging

ECE postdoc Melissa Haskell works on improving functional magnetic resonance imaging so we can better measure and understand brain activity.

Space motor helps make robotic prosthetic leg more comfortable and extends battery life

Getting rid of some gears enabled a free-swinging knee, regenerative braking and brought the noise level down from vacuum cleaner to fridge.

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.

Wireless sensors for N95 masks could enable easier, more accurate decontamination

“The technology can give users the confidence they deserve when reusing respirators or other PPE.”

Students lead the way on State of Michigan web application to help curb the spread of COVID-19

“I don’t think any of us expected a global pandemic at the end of our senior year, let alone being able to work on an application that helps address it.”

Tracking COVID-19 spread faster, and more accurately

A new application for an ongoing NSF project could bolster contract tracing efforts.

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.

Web app, dashboard from U-M to inform Michiganders’ return to work

The web tools will help state officials identify potential hotspots as they reopen Michigan to business.

Faster than COVID: a computer model that predicts the disease’s next move

Predictive model could help care providers stay safe, anticipate patient needs.

Faculty Profile: Emily Mower Provost

Mower Provost talks about getting awards, doing industry research, understanding human behavior – and Star Wars.

Improved neural probe can pose precise questions without losing parts of the answers

It will now be possible to study brain activity when timing is important, such as the consolidation of memory.

Game theory and the COVID-19 outbreak: Coordinating our interests at individual to national levels

A major defense project pivots to explore how to encourage COVID-safe behavior effectively.

Plasma jet wands could rapidly decontaminate hospital rooms

Room-temperature plasma beams could essentially dissolve away bacteria and viruses.

Computer scientists employ AI to help address COVID-19 challenges

Five multidisciplinary research teams are working on projects to assist with the coronavirus outbreak and to help find solutions to pressing problems.

Emily Mower Provost named Toyota Faculty Scholar

Her work uses machine learning to measure mood, emotion, and other aspects of human behavior for purposes of providing early or real-time interventions for people in managing their health.

Could a smartwatch identify an infection before you start spreading it?

A wrist-worn device detected disrupted sleep 24 hours before study participants began shedding flu viruses.

Guidance on decontaminating face masks: U-M researchers contribute to national effort

Collaborative website launched while U-M researchers continue advanced testing.

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.

Toward a portable concussion detector that relies on an infrared laser

By looking at tissue oxygen and cell metabolism at the same time, doctors could have a fast and noninvasive way to monitor the health of brain cells.

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.

CSE faculty funded for three precision health projects

The CSE faculty include Prof. David Fouhey, Prof. Danai Koutra, Prof. Rada Mihalcea, and Research Scientist Veronica Perez-Rosas.

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.

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

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

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.

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.

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.

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.

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.

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.

How to color-code nearly invisible nanoparticles

With a bit of metal, nanoparticles shine in colors based on size.

The next medical markets of Collin Rich

An expert health sciences entrepreneur, Rich is ready to repeat success with revolutionary technology.

New funding for high-fidelity nerve mapping research

SPARC awarded $1M to a U-M project developing better nerve mapping.

Bionic heart tissue: U-Michigan part of $20M center

Scar tissue left over from heart attacks creates dead zones that don’t beat. Bioengineered patches could fix that.

$7.75M for mapping circuits in the brain

A new NSF Tech Hub will put tools to rapidly advance our understanding of the brain into the hands of neuroscientists.

Seeing through materials

By developing a fast algorithm to map out the paths light takes through yogurt, researchers aim to someday see through skin.

‘Sister cell’ profiling aims to shut down cancer metastasis

Michigan engineers release individual cells from a specially-designed chip using laser pulses.

Gopal Nataraj receives U-M Rackham Predoctoral Fellowship to support high-impact research in medical imaging

Award for outstanding doctoral candidates near the end of their study.

Sensors from head to toe – Todd Coleman makes measuring health simpler

Prof. Todd Coleman’s group is tackling the challenging problem of getting high-fidelity monitoring to work affordably at home.

The Michigan Probe: Changing the Course of Brain Research

Some believed early Michigan brain researchers were engaging in “science fiction” – until development of an advanced tool for forging breakthroughs proved them wrong.

Cancer stem cells: new method analyzes 10,000 cells at once

A new tool for making sense of the cells believed to cause cancer relapses and metastases.

Students seek the secrets of the brain in study abroad program

IPAN sent eight undergraduates to Germany for a month of lab work, learning about the intricacies of the brain.

Leaders in neuroscience look to the future

ICAN bring engineers and neuroscientists together to review the recent advancement in neurotechnology and neuroscience, define the need for next-generation tools, and enhance the translation of technology to the scientific community.

Injectable computers

With a radio specifically designed to communicate through tissue, researchers from the Electrical and Computer Engineering are adding another level to a computer platform small enough to fit inside a medical grade syringe.

Novel collaboration to probe brain activity in unprecedented detail

A pilot program will bring together researchers from different universities to collaborate on advancing research that may lead to a better understanding of the human brain.

Student team works to improve care for premature infants

The device resembles a swaddling hammock and features a heating pad charged by thermoelectrics, allowing users to light candles beneath the cells to generate power.

Volunteers bring M-HEAL solutions to Peru

Each day the students set up a mobile clinic with a doctor from a partner organization, reaching as many 600 community members while in Cusco.

Startup founded by U-M assoc. professor gets NSF grant

Healthcare security company Virta Laboratories, Inc. has received a $750,000 grant from the National Science Foundation Small Business Innovation Research (SBIR) program.

U-M researchers launch fight against C. difficile with $9.2M grant from NIH

Prof. Wiens will continue to use machine learning techniques to study the disease.

A better 3D camera with clear, graphene light detectors

While 3D films are currently made using multiple cameras to reconstruct each frame, this new type of camera could record in 3D on its own.

Cutting the cost of hearing

MEMStim’s technology is already two phases into pre-clinical testing in preparation for FDA examination. Very few MEMS devices have made it this far.

Jenna Wiens receives NSF CAREER Award to increase the utility of machine learning in clinical care

Her primary research interests lie at the intersection of machine learning and healthcare.

Somin Lee receives AFOSR Young Investigator Award for research in bioplasmonics

The award supports research that will help our understanding of how tissues form distinct shapes and structure to become organs, such as lungs, salivary glands, and mammary glands.

Mapping the brain: probes with tiny LEDs shed light on neural pathways

The new probes can control and record the activity of many individual neurons, and are believed to be the smallest implantable LEDs ever made.

$5M for international neurotechnology “dream team”

A “dream team” of experts in sensors, electronics, data analysis and neuroscience has been awarded a $5 million grant to help unravel the mysteries of the brain and cross-train a group of internationally-connected neuroscientists and engineers.

Glucose Monitoring with Lasers

Professor Islam is leading the reconstruction of super continuum lasers he designed to aid the military into a non-invasive tool to measure glucose in the blood system.

Using data science to achieve ultra-low dose CT image reconstruction

Ultra-low dose CT scans that provide superior image quality could not only benefit patients, but they could open up entirely new clinical applications.

Next generation laser plasma accelerator

One of the most promising avenues for achieving new target levels of high peak intensity and high average power in an ultrafast laser system is to turn to fiber lasers.

What makes cancer cells spread? New device offers clues

Why do some cancer cells break away from a tumor and travel to distant parts of the body? A team of oncologists and engineers from the University of Michigan teamed up to help understand this crucial question.

Mobile Friendly – apps to improve life

Technology continues to transform the health care industry, and researchers at the University have utilized mobile apps to expand the impact of their work.

Somin Lee receives CAREER award for research in nanoscale biotechnology

Prof. Lee will develop improved methods for gene therapy by delivering corrected genes directly to the cell nucleus of damaged genes.

Michael Flynn elected IEEE Fellow for contributions to analog-digital interfaces

Prof. Flynn has achieved important breakthroughs in the performance and energy efficiency of analog-digital interfaces.

Raj Nadakuditi awarded DARPA Young Faculty Award for research that could help reveal the brain’s secrets

His research will impact the ability to investigate the structure of brain circuits through the use of optical imaging techniques.

Mapping the brain with lasers

Yoon is leading a team that will design new light sources with lasers capable of zooming in on individual neuron circuits within the brain.

Fighting lung cancer: Faster image processing for low-radiation CT scans

This advance could be important for fighting lung cancers, as symptoms often appear too late for effective treatment.

T-ray converts light to sound for weapons detection, medical imaging

U-M researchers demonstrated a unique terahertz detector and imaging system that could bridge the terahertz gap.

Student Spotlight: Mai Le – Finding a better way to diagnose breast cancer with MRI

The research group is using statistical signal processing to create crisper images with only 20% of the data required by a traditional MRI scan.

Biochips for better cancer therapy

One promising area of cancer treatment is photodynamic therapy, which combines the agents of a photosensitive drug, light, and oxygen.

Gopal Nataraj earns Best Paper Award for improving MRI

Nataraj is using big data techniques to transform the field of medical imaging

New algorithms and theory for shining light through non-transparent media

Their technique utilizes backscatter analysis to construct “perfectly transmitting” wavefronts.

How a metamaterial might improve a depression treatment

The headpiece design is a big departure from today’s figure 8-shaped devices made of just two coils.

Research Spotlight: Better miniaturized vacuum pumps for electronics and sensors

The three microdevices created at Michigan are each particularly suited to specific applications.

Research that will lead to sharper photos earns best paper award

The method they developed compares favorably with the best of current techniques, while being faster and easier.

Neural Probe Research recognized with Best Paper Award at 2013 Transducers Conference

“We present a novel strategy to scale up the number of electrodes with minimized risk.”

Super-fine sound beam could one day be an invisible scalpel

“We believe this could be used as an invisible knife for noninvasive surgery,” Guo said. “Nothing pokes into your body, just the ultrasound beam.”

Predicting your risk of illness

Imagine a future when you could predict whether or not you are at risk of becoming sick.

Nathan Roberts earns Best Paper Award for research to assist in remote patient monitoring

Roberts is helping to develop low-power sensor nodes that will be worn on the body to detect certain medical conditions.

Developing the wireless component for personalized health devices

The program aims to create wearable systems that monitor a person’s environment and health in search of connections between pollutants and chronic diseases.

Combining flexible, transparent electronics with high speed communications for the first time

Prof. Zhaohui Zhong and his team of graduate students have built the first flexible, transparent digital modulator for high speed communications.

Research Spotlight: 3-D electrical force fields manipulate microscale particles

The primary advance shown in this research as compared to earlier work is the successful use of a 3-D potential force field.

New technology allows CT scans to be done with a fraction of the conventional radiation dose

“We’re excited to be adding Veo to the measures we already have in place to ensure that we get diagnostic images using the lowest amount of radiation possible.”

A smarter way to make ultraviolet light beams

The researchers have optimized an optical resonator to take an infrared signal from relatively cheap telecommunication-compatible lasers and boost it to an ultraviolet beam.

New laser could treat acne with telecom technology

The laser could treat acne by targeting the oil-producing sebaceous glands, which are known to be involved in the development of the skin disease.

Breakthrough: Researchers find wide gap in immune responses of people who did or didnt get the flu after exposure

If scientists can understand what happens at the genome level that makes people more or less susceptible to viral illness, they could potentially develop therapies to prevent illness.

New techniques in medical informatics lead to improved diagnosis of MDS

The technique involves a visualization method that renders clinical flow cytometry data more interpretable to pathologists.

Gyemin Lee receives Best Paper Award for research in machine learning for biomedical diagnosis

Lee’s primary motivation is to apply his research methods to hematopathology, the study of blood-related diseases.

A minimally-invasive brain implant to translate thoughts into movement

The implant is called the BioBolt, and unlike other neural interface technologies that establish a connection from the brain to an external device such as a computer, it’s minimally invasive and low power.

Safer medical imaging with microwaves

The goal of the research is to develop an alternative method to x-ray imaging that is safer and uses nothing stronger than radio frequency waves.

Clay Scott Receives CAREER Award for Research in Signal Processing

Yong Long receives Best Poster Award for work in medical imaging

Long’s work describes a new algorithm for performing model-based methods in a way that requires less computation yet provides improved image quality.

Eric Tkacyk receives Best Paper Award for research in biomedical optics

Tkaczyk hopes that his technique will be used to further the understanding, diagnosis, and treatment of cancer. Congratulations!