Phelps County News

Three Missouri S&T entrepreneur teams compete in virtual contest

Three teams of students from Missouri University of Science and Technology will pitch their ideas virtually in a “shark tank” style competition through the University of Missouri System’s Entrepreneur Quest (EQ) program this April.

Missouri S&T students, alumni help housebound kids with virtual STEM outreach

Students from Missouri University of Science and Technology’s Mars Rover Design Team are adapting their traditional onsite K-12 outreach visits to virtual learning sessions for curious kids who are housebound during coronavirus pandemic school closures.

Researchers create unique DNA biosensor for early stage disease detection


Disease detection at an early stage is one of the biggest challenges biochemists and materials scientists are trying to meet by combining their expertise at Missouri University of Science and Technology. The researchers used nanotechnology in biomedical diagnostics – a process called nanodiagnostics – to create a new, ultrasensitive DNA biosensor. The new sensor could potentially detect DNA-based biomarkers for early diagnosis of cancer and genetic disorders, as well as monitor patient responses to therapies.

MRPC board, TAC cancel April 9 meetings

    Due to public health concerns, Meramec Regional Planning Commission (MRPC) Board of Directors and the MRPC Transportation Advisory Committee (TAC) will not meet April 9. The board meets monthly, except for July, on the second Thursday of each month. At this time, the next MRPC board meeting will be Thursday, May 14 and the TAC will reconvene before the June 11 board meeting.

Researchers at Missouri S&T use social media to study COVID-19

As COVID-19 sweeps across the U.S. and the world, people have taken to social media with concerns, questions and opinions. Researchers at Missouri University of Science and Technology are analyzing tens of millions of posts on Twitter in real time to show how attitudes toward the disease have changed. The researchers are designing machine learning and natural language processing techniques for the study. They say the project is distinctive in that it measures topics of concern, subjectivity, social distancing and public sentiment rather than predicting the spread of infection.