Cancer drug eliminates aggressive cancers in Phase I trial
August 14, 2025
Over the past 20 years, a class of cancer drugs called CD40 agonist antibodies have shown great promise—and induced great disappointment.
Over the past 20 years, a class of cancer drugs called CD40 agonist antibodies have shown great promise—and induced great disappointment.
Scientists at the University of Virginia School of Medicine and the University of Michigan have developed a monoclonal antibody to stop sepsis, a deadly full-body infection.
The team used two different AI approaches to design novel antibiotics, including one that showed promise against MRSA.
Researchers at Arizona State University have developed a breakthrough diagnostic tool that could transform how quickly and reliably we detect illnesses like COVID-19, Ebola, AIDS or Lyme disease.
Now, researchers publishing in ACS Applied Polymer Materials have created a reusable hydrogel that releases artificial saliva over time, which could help provide sustained relief from dry mouth.
Doctors treating kidney disease have long depended on trial-and-error to find the best therapies for individual patients. Now, new artificial intelligence (AI) tools developed by researchers in the Perelman School of Medicine and the Wharton School at the University of Pennsylvania can analyze kidney disease at the cellular level to match the most effective treatments and speed up solutions.
Ovarian cancer is the leading cause of death among women with gynecological cancers. The current medical playbook—surgery followed by chemotherapy—initially shows promise.
Toothpaste made from your own hair may offer a sustainable and clinically effective way to protect and repair damaged teeth.
Algorithms submitted for an AI Challenge hosted by the Radiological Society of North America (RSNA) have shown excellent performance for detecting breast cancers on mammography images, increasing screening sensitivity while maintaining low recall rates, according to a study published in Radiology.
Researchers have shown in Frontiers in Digital Health that abnormalities of the vocal folds can be detected from the sound of the voice.