Researchers at The University of Texas MD Anderson Cancer Center have discovered a novel immunotherapy combination, targeting checkpoints in both T cells and myeloid suppressor cells.
An enzyme that defends human cells against viruses can help drive cancer evolution towards greater malignancy by causing myriad mutations in cancer cells, according to a study led by investigators at Weill Cornell Medicine. The finding suggests that the enzyme may be a potential target for f
The UC Davis Comprehensive Cancer Center conducted a study to investigate the usage of the South Asian spice Turmeric to reduce joint pain and discomfort during breast cancer treatments.
Researchers have discovered an unknown biological process that controls the production of vital cells that carry oxygen throughout the body. The discovery could help doctors develop new treatments for anaemias that affect millions of people.
Could knowing where your ancestors came from be the key to better cancer treatments? Maybe, but where would that key fit? How can we trace cancer's ancestral roots to modern-day solutions? For Cold Spring Harbor Laboratory (CSHL) Research Professor Alexander Krasnitz, the answers may lie dee
Direct oral anti-coagulant (DOAC) drugs are more effective and are more cost-effective than low molecular weight heparin (LMWH) for treating cancer-associated thrombosis (CAT), shows research conducted by UC Davis Comprehensive Cancer Center and the University of Cincinnati.
People with blood cancer usually have a weak immune system, putting them at an increased risk of becoming very ill from COVID-19. Furthermore, several cancer treatments cause these individuals to develop little or no antibodies against SARS-CoV-2 after COVID-19 vaccination.
Researchers describe the impact of epigenetics on cancer treatment and how it has become a crucial tool to improve early detection, predict disease progression and become a target for new treatments.
Eye movement disparities can be used to identify ADHD via eye tracking, virtual reality games, and machine learning, thereby enabling a more accurate diagnosis of attention problems. Their method might be modified to evaluate other disorders, such as autism, and serve as the foundation for a
Obesity has increased rapidly in recent decades to affect more than 2 billion people, making it one of the largest contributors to poor health worldwide. Despite decades of research on diet and exercise treatments, many people continue to struggle to lose weight. Researchers at Baylor Colleg
The origins of the serious cancer-like disease LCH have been identified by researchers from Karolinska Institutet in collaboration with Karolinska University Hospital. The findings presented in Science Immunology may lead to new, targeted treatments.
Researchers from the University of Jyvaskyla and the Central Finland Health Care District have developed an AI based neural network to detect an early knee osteoarthritis from x-ray images. AI was able to match a doctors' diagnosis in 87% of cases. The result is important because x-rays are