The COVID-19 pandemic will have psychological and pathological effects on the brains of patients and the public, according to UCLA doctors.
While COVID-19 patients could potentially develop neurological symptoms because of SARS-CoV-2, the virus responsible for causing the disease, those without the disease may also be experiencing neurological effects, such as increased sleep disruption and vivid dreams, because of the psychological impacts of the lockdown.
UCLA bioengineering professors and alumni have developed a more accurate COVID-19 testing kit using a new RNA extraction technique.
Daniel Kamei, a bioengineering professor at the UCLA Samueli School of Engineering, supervised two doctoral students who founded Phase Scientific along with Kamei and UCLA professor Benjamin Wu.
Researchers from UCLA and other universities have developed a stable and environmentally friendly method to produce synthesis gas.
Synthesis gas, or “syngas” for short, is an industrial material made of carbon monoxide and hydrogen gas.
This post was updated Nov. 6 at 4:33 p.m.
UCLA researchers have discovered that mitochondria, colloquially known as “the powerhouses of the cell,” generate power like battery arrays in a Tesla car, refuting the previous understanding of how they operate.
A UCLA-led team has made detecting rare cells in blood cheaper and faster.
A research team led by Aydogan Ozcan, a UCLA professor who specializes in physical and wave electronics, developed a new prototype version of a cytometer, a device that measures and detects rare cells in blood.
Computer science students, frustrated with the department’s lack of practical classes, are asking faculty to create coursework that better prepares them for their careers.
UCLA’s chapter of Association for Computing Machinery, a student-run organization, Upsilon Pi Epsilon and the UCLA computer science department are holding a computer science town hall Feb.
UCLA researchers found the limits of deep learning networks – distinguishing between an otter and a can opener.
Nicholas Baker, a cognitive psychology graduate student, explored the behaviors of two machine learning networks known as convolutional neural networks, which are well-established machine learning networks capable of visual recognition.
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