This technology for rapid, non-invasive toxicology screening could allow for earlier intervention for patients at risk for drug overdose or in need of substance use treatment.
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Six Baylor College of Medicine faculty were honored this year with the Michael E. DeBakey M.D. Award for Excellence in Research for their outstanding published scientific contributions to clinical and basic science research over a three-year period.
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Combining machine learning with the analysis of large DNA, RNA and protein data sets can uncover potential new targets for treatment.
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The results of this study suggest a need to investigate different treatment strategies for different immune ecosystem patterns in bone metastases.
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Being able to predict the response of cancer to treatment by analyzing a tumor sample before therapy is given would significantly affect clinical outcomes
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Currently, the condition has no definitive treatments other than liver transplant, but the team shows that in mouse models the new therapy can significantly improve liver health and bile duct development – even after liver damage has already begun.
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Respiratory syncytial virus (RSV) is the number one cause of hospitalization in infants, accounting for about 25% of all their hospitalizations.
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The researchers hope their findings will lead to improved tools for identifying children at risk or tailoring therapies to individual genetic profiles.
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The Alzheimer’s Disease Fly Cell Atlas may lead to a better understanding of the condition and improved treatments.
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With Cell Painting we can now rapidly probe flavonoid libraries and potentially uncover their potential therapeutic value.
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