A combination cancer therapy that relies on the reactivation of a tumor suppressor protein to kill leukemic and other blood cancer cells has shown promise in a small pilot trial.
High-grade serous ovarian cancer is an aggressive form of ovarian cancer, characterized in particular by high diversity among the cells that compose a given tumor. This intratumor heterogeneity is a major challenge in understanding ...
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New research led by experts at the University of Nottingham has revealed how collagen in the tumor environment can alter bowel cancer cell behavior and influence inflammatory responses to chemotherapy, highlighting potential ...
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A good night's sleep can feel elusive for many of us, courtesy of a racing mind, a mile-long to-do list and stress getting in the way. What's a tired person to do?
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Psychedelics are a class of compounds that alter people's perceptions, mood and mental processes. Recent clinical studies suggest that some of these compounds, such as lysergic acid diethylamide (LSD) and psilocybin, could ...
One person dies every 50 seconds in the U.S. from cancer, and an estimated 39% of people in the country will develop cancer during their lifetime. Survival rates have improved in recent decades from innovations and combinations ...
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For decades, stroke prevention has revolved around a list of separate—and often separately treated—risk factors: blood pressure, cholesterol, diabetes, smoking and inactivity. According to Dr. Gustavo Saposnik, it's time ...
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Telemedicine came into wide use during and after the COVID-19 pandemic. However, access to and use of telemedicine may vary according to factors such as age, educational attainment, income, employment status and place of ...
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Generally, total energy expenditure is expected to be higher in individuals with greater physical activity. However, the constrained total energy expenditure model suggests that greater energy expenditure during exercise ...
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Artificial intelligence can be helpful in analyzing medical images and support radiotherapy planning workflows. However, huge amounts of sensitive patient data are needed to train robust AI models. Researchers at the Karlsruhe ...
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