About 1.5 million people died of tuberculosis (TB) in 2017, making it the most lethal infectious disease worldwide. A growing rise in drug-resistant TB is a major obstacle to successfully treating the illness.
May 7, 2019
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Neil Osheroff, John Coniglio Chair in Biochemistry and professor of biochemistry and medicine, is part of an international research collaboration resulting in what is on track to be the first new antibiotic treatment for ...
Jan 30, 2023
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Researchers at the VU University Medical Center in the Netherlands have tested a new drug in patient samples and mice with multiple myeloma and discovered that it was effective even in advanced disease—a point when many ...
Mar 27, 2020
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Treatment of HIV/AIDs has evolved greatly since the disease's emergence in 1981. When antiretrovirals were first introduced, almost every patient developed drug resistance within the first year of drug use. Today, however, ...
Mar 7, 2016
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The rise of antibiotic-resistant bacteria is a growing problem in the United States and the world. New findings by researchers in evolutionary biology and mathematics could help doctors better address the problem in a clinical ...
May 6, 2015
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Researchers led by St. Jude Children's Research Hospital scientists have developed a second-generation antibiotic that shows early effectiveness against common bacterial infections that pose a serious health threat to children ...
May 20, 2015
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In Brazil, a group of researchers has reported the largest outbreak to date of COVID-associated candidemia caused by the same drug-resistant strain of Candida parapsilosis, a fungus that invades the bloodstream and can lead ...
Nov 30, 2022
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Chromium picolinate is a supplement that many folks take, as it's touted to unlock insulin, burn fat and build muscle.
Jan 31, 2023
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11
Repetitive transcranial magnetic stimulation (rTMS) was associated with a reduction in self-reported cannabis use by up to 60% among people with schizophrenia who have cannabis use disorder (CUD), according to a CAMH-led ...
Mar 4, 2022
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Can mathematical models predict how can cancer cells respond to varied chemotherapy schedules? In other words, should cancers associated with fast-growing tumors, like brain cancer, be treated using a low drug dose administered ...
Apr 6, 2018
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