Computer scientists at the University of Rochester have developed an AI-powered, speech-based screening tool that can help people assess whether they are showing signs of Parkinson’s disease, the fastest growing neurological disability in the world. A study published in the journal npj Parkinson’s Disease introduces a web-based screening test that asks users to recite two pangrams—short sentences using all 26 letters of the alphabet. Within seconds, the AI analyzes the voice recordings for subtle patterns linked to Parkinson’s, with nearly 86 percent accuracy.

As the demand for plant-based meat and dairy options grows, vegan burgers, nuggets, and beverages have been in the spotlight for sustainable protein alternatives. But unlike their meatless burger counterparts, plant-based eggs haven’t received the same attention from researchers — until now.  

The machine-learning model outscores older methods and is being made available worldwide.

A research team led by Prof. ZHENG Hairong, Prof. LIU Chengbo, and Prof. ZHENG Wei from the Shenzhen Institute of Advanced Technology has developed a linear transducer-array-based hybrid microscope (LiTA-HM) that enables simultaneous, dynamic, high-resolution imaging of neuronal activity and microvascular behavior across the entire cortex of awake mice.

A USC proof-of-concept study found that OCT imaging can measure fluid levels in the inner ear, which correlate with a patient’s degree of hearing loss. The Keck School of Medicine of USC team used the tool to scan the inner ears of 19 patients undergoing ear surgery. Six patients had normal inner ear function, four had Ménière’s disease, and nine had vestibular schwannoma (a benign tumor on a nerve that connects the inner ear to the brain). During surgery, a thick outer bone known as the mastoid was temporarily removed, allowing researchers to use OCT to collect images of the fluid compartments in the inner ear. OCT images showed that patients with Ménière’s disease or vestibular schwannoma had higher levels of a fluid called endolymph, compared to those with normal inner ear function. Increased endolymph levels were linked to greater hearing loss, indicating that measuring these fluid levels could help predict the severity of symptoms. The researchers are working to develop a smaller, more affordable version of the tool that they plan to distribute and test with surgeons and are working to adapt the technology for clinical use outside of surgery by improving the software and image-processing techniques.