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Novel approach to immunotherapy design could pave the way for new brain cancer treatments A novel approach to immunotherapy design could pave the way for new treatments for people with an aggressive form of brain cancer called glioblastoma. Using specifically designed receptors, researchers were able to completely clear brain cancer tumors in preclinical models, using chimeric antigen receptor (CAR) T cell therapy. Published today in Clinical & Translational Immunology and led by Associate Professor Misty Jenkins, the research is a crucial step towards developing new immunotherapy treatments...

 E-Mail IMAGE: New SaferSeqS technology detects rare mutations in blood in a highly efficient manner and reduces the error rate. view more  Credit: Elizabeth Cooke Next-generation gene sequencing (NGS) technologies --in which millions of DNA molecules are simultaneously but individually analyzed-- theoretically provides researchers and clinicians the ability to noninvasively identify mutations in the blood stream. Identifying such mutations enables earlier diagnosis of cancer and can inform treatment decisions. Johns Hopkins Kimmel Cancer Center researchers developed a new technolog...

With vaccinations in full swing, gene therapy for cancer may only be few years away.

by Stephanie Lopez — April 30, 2021 . DURHAM – A digital app successfully detected one of the telltale characteristics of autism in young children, suggesting the technology could one day become an inexpensive and scalable early screening tool, researchers at Duke University report. The research team created the app to assess the eye gaze patterns of children while they watched short, strategically designed movies on an iPhone or iPad, then applied computer vision and machine learning to determine whether the child was looking more often at the human in the video, or objects. “We know t...

The technology could one day become an inexpensive and scalable early screening tool, the research suggests. Researchers created the app to assess the eye gaze patterns of children while they watched short, strategically designed movies on an iPhone or iPad, then applied computer vision and machine learning to determine whether the child looked more often at the human in the video, or objects. “We know that babies who have autism pay attention to the environment differently and are not paying as much attention to people,” says Geraldine Dawson, director of the Duke Center for Autism and B...