Study: Research ties common heartburn medications to kidney disease and failure
Study examines 190,000 patients over 15 years, finds acid reflux drugs increase risk of kidney disease by 20 percent BUFFALO, ...
Tag: Pharmaceutical Chemistry
Columbia Team develops treatments for depression
Understanding the molecular mechanisms of resistance to antidepressants Major depressive disorder is a debilitating illness that affects more than 350 ...
Hepatitis B vaccination in preadolescents lowered the disease incidence rate in Catalonia
An efficient programCredit: UNIVERSITY OF BARCELONA Introducing Hepatitis B vaccine in preadolescents meant a decline in the disease incidence rate ...
Starving leukemia cells by targeting amino acids
Altered metabolism in cancer cells Cancer cells consume sugar at a higher rate than healthy cells, but they're also hungry ...
Purdue researchers develop innovative, more cost-effective method to make drugs
Continuous manufacturing process can make generic lomustine, other productsCredit: (Purdue Research Foundation image/Oren Darling) WEST LAFAYETTE, Ind. - The Food ...
Promising new drug shows potential to stop progression of sepsis
Pre-clinical trial of InnovoSep presented at RCSI Research Day 2019Credit: RCSI Thursday, 7 March 2019: Research into a new breakthrough ...
Small ‘microdoses’ of psychedelic drugs could treat depression and anxiety
Lava lamps, tambourines and, of course, psychedelic drugs were hallmarks of the 1960s. Psychedelic drugs can make people euphoric, though ...
Bioluminescence sensors make new approaches to drug discovery possible
Canadian and Brazilian researchers describe the use of 13 molecular tools for measuring different intracellular signaling pathways and evaluating the ...
A new technique allows researchers to focus the action of drugs via infrared light
Credit: Montserrat Porta, Aida Garrido. Having absolute control of the activity of a molecule in an organism. Deciding when, where ...
Stopping inflammation from becoming chronic
Jena University pharmacists and international partners present highly sensitive test system for anti-inflammatory drugsCredit: Jan-Peter Kasper/University Jena Drugs such as ...
New research prize for best doctoral thesis on cancer
In memory of Professor Dan Grandér This year, the Swedish medical university Karolinska Institutet for the forst time awards a ...
Pioneering study could offer protection to patients with rare genetic disease
Skin cells taken from patients with a rare genetic disorder are up to 10 times more sensitive to damage from ...
Complex medication regimens are common & sometimes dangerous in patients with lung disease
Patients with interstitial lung disease--a group of disorders causing progressive scarring of lung tissue--are often prescribed various medications that specifically ...
New therapeutic approach to combat African sleeping sickness
Small inhibitor molecule inhibits parasitic enzyme / Novel concept could also be employed in the future rational design of drugs ...
New method to detect cancer cells faster, potentially improving outcomes
Cancer testing method is sensitive enough to detect cancer cells in very early stages, short amount of time WEST LAFAYETTE, ...
Spare 10 minutes to make science leap forward
New citizen science project From Diamond Light Source seeks to train AI to identify virus particlesCredit: Diamond Light Source, 2019 ...
Statins could protect against motor neurone disease
High cholesterol has been found to be a possible risk factor for the development of motor neurone disease (MND), according ...
Animal venoms are sources in the search for new medicines
The study of natural toxins and their derivatives may help in the development of medicines to treat diseases like cancer ...
Gory, freaky, cool: Marine snail venom could improve insulin for diabetic patients
Credit: University of Utah Health Although moderately mobile, marine cone snails have perfected several strategies to capture prey. Some fish-hunting ...
Machine learning algorithm helps in the search for new drugs
Researchers have designed a machine learning algorithm for drug discovery which has been shown to be twice as efficient as ...
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