Precision Medicine

Also called personalized medicine, this evolving field makes use of an individual’s genes, lifestyle, environment and other factors to identify unique disease risks and guide treatment decision-making.
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Team aims to corral KRAS-mutated cancer by testing drugs on 3D spheres

Researchers at the Scripps Research Institute, in a study published online May 10 in Octogene, developed spheroids that can be used for high throughput screening, which uses the structures to test for reactions to various drugs.

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mHealth apps could improve stress management—but apps lack value

Mobile health applications have benefits to stress management due to ease of use and easy access, but most apps lack value, according to a study published May 9 in JMIR mHealth and uHealth.

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Diabetes apps could improve blood glucose control—but further study is needed

Mobile applications aimed at improving diabetes outcomes could help users control blood glucose levels, but evidence to support their efficiency is lacking, according to a study published May 8 in the Journal of General Internal Medicine.

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Integrative medicine reduces pain, hospital costs

Researchers at Allina Health in Minneapolis have utilized integrative medicine to reduce patient pain and costs, according to a study published May 10 in the Journal of Alternative and Complementary Medicine.

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UnitedHealth expanding bundles after positive results

After reporting nearly $18 million in savings for the employers current participating in its bundled payment programs for spinal surgeries and joint replacements, UnitedHealth Group announced it will expand the program to nine additional markets.

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Precision medicine tool predicts deadly form of rare cancer

Researchers from Brigham and Women's Hospital in Boston have created a tool capable of predicting if patients with mycosis fungoides (MF) will develop a deadly form of the cancer. Findings were published May 9 in Science Translational Medicine.

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Researchers develop AI oncologist to assist cancer patients

Researchers from the University of Texas MD Anderson Cancer Center in Houston have developed artificial intelligence (AI) with the aim to improve the accuracy of patient-specific clinical target volumes in cancer patients. Findings were published in the June 2018 issue of the International Journal of Radiation Oncology.

Communication bundle uses early warning signs to improve care

The implementation of an early warning score communication bundle significantly decreased intensive care unit (ICU) admissions, according to a study published in the May 2018 issue of the American Journal of Critical Care.