With heart disease remaining the number one cause of death in the United States, Chen-Izu lab’s research into heart diseases is as relevant and urgent. The lab’s mission is to translate breakthrough research findings to develop new drug therapies to prevent and treat heart diseases more effectively.
Doctors already rely on a patient’s medical history to prescribe the right treatments and medications, but Computer Science Distinguished Professor Kwan-Liu Ma and Dr. Shin-Ping Tu at the UC Davis School of Medicine think they can also use it to improve how the entire medical system works together.
As the pandemic surged in spring 2021, third-year computer science major Shrey Sheladia used the programming skills he learned at UC Davis to help increase India’s vaccination rate. For four months, Sheladia ran an online notification program that helped more than 40,000 people in India receive COVID-19 vaccines by alerting them when a vaccine appointment was available.
Can we optimize how we cool our buildings without compromising campus comfort? This question, the focus of a long-standing partnership between UC Davis Facilities Management and UC Davis Chemical Engineering (Process Systems Engineering), has resulted in savings, greener energy use and published research.
Machine-learning algorithms, while not intended to replace human doctors, can be powerful tools to help process and make sense of patient data. Electrical and computer engineering professor Chen-Nee Chuah and computer science professor Xin Liu are preparing sensors and algorithms to work alongside doctors to treat patients.
Irrigating an entire orchard or vineyard with the same level of water and nutrients may make some plants excel at producing nuts or fruit, while others might be getting more than they need. Not knowing this can lead to disappointing crop yields, wasted water, high costs and long-term damage to both the plants and the environment—all of which can devastate a grower.
UC Davis engineers have invented shaking and inversion machines that are a critical part of the UC Davis Genome Center’s award-winning asymptomatic COVID-19 testing. These machines, designed and built in just six weeks, help treat saliva samples so they can be tested for the virus.
On September 9, Northern California residents woke up to a dark orange smoky sky that rained down ash and made it hard to breathe. Sadly, days like this are becoming our “new normal.” As climate change makes wildfires burn faster, hotter and more often, humans need to understand the effects of these disasters and how to live with them.
As a part of the Computational Research Division’s (CRD) summer student program at Lawrence Berkeley National Laboratory, four graduate students from UC Davis researched a method that could allow doctors and researchers to leverage valuable health information in the battle against COVID-19 while also preserving patient privacy in COVID-19-related electronic health records.