New strategy to reduce antibiotic resistance using an extracellular polymeric substance inhibitor

Researchers from KU Leuven in Belgium have developed a new antibacterial strategy that weakens bacteria by preventing them from cooperating. The researchers showed that blocking slime (extracellular polymeric substance) production of salmonella bacteria weakens the bacterial community, making it easier to remove. They used a chemical, antibacterial substance 2-cyclopentenyl-5-(4-chlorophenyl)-2-aminoimidazole, a specific member of the class … Continue reading New strategy to reduce antibiotic resistance using an extracellular polymeric substance inhibitor

Stimulated Raman Histology and Machine learning provides an alternative approach in brain tumor diagnosis

The study published in Nature Medicine examined the diagnostic accuracy of brain tumor image classification through artificial intelligence tool, compared with the accuracy of pathologist interpretation of conventional histologic images. The results for both methods were comparable: the artificial intelligence based diagnosis was 94.6% accurate, compared with 93.9% for the traditional pathologist-based assessment and interpretation. … Continue reading Stimulated Raman Histology and Machine learning provides an alternative approach in brain tumor diagnosis

Web application to help discover new antibiotics to fight gram negative bacteria

A new web app eNTRyway speeds the discovery of drugs to kill Gram-negative bacteria by quickly evaluating potential drugs ability to accumulate in these bacterial cell. Entryway calculates physiochemical properties of molecules and compares to a training set of compounds. The tool also offers insights into discrete chemical changes that can convert drugs that kill … Continue reading Web application to help discover new antibiotics to fight gram negative bacteria

Machine learning algorithm to predict mortality in heart failure patients

Researchers from the University of California San Diego developed a machine-learning model by training a boosted decision tree algorithm on de-identified electronic health records data of 5,822 hospitalized or ambulatory patients with heart failure from the University of California San Diego. This machine learning model is based on eight readily available variables. These include, diastolic … Continue reading Machine learning algorithm to predict mortality in heart failure patients

Bacteriophage treatment for alcohol related liver disease

Researchers from King's College London and the University of California San Diego School of Medicine conducted an animal study in mice and shown promise of bacteriophage therapy in treating alcohol-related liver disease. This research is published in journal Nature. The team discovered that patients with severe alcoholic hepatitis had high numbers of a destructive gut … Continue reading Bacteriophage treatment for alcohol related liver disease

Calculator to predict five year risk for chronic kidney disease

A new risk calculator tool to predict the risk of chronic kidney disease is developed by Chronic Kidney Disease Prognosis Consortium, a large global collaboration led by researchers at the Johns Hopkins Bloomberg School of Public Health. It utilizes a mix of variables to predict accurately whether someone is likely to develop chronic kidney disease … Continue reading Calculator to predict five year risk for chronic kidney disease

Smartphone app shown to improve medication intake compliance in heart patients

According to a research study presented at the 45th Argentine Congress of Cardiology heart patients using a smartphone app reminder are more likely to take their medication than those who receive written instructions, This study tested the impact of a smartphone application on medication compliance. A total of 90 heart attack patients admitted to hospital … Continue reading Smartphone app shown to improve medication intake compliance in heart patients

New findings of cortical activity during delta wave sleep sheds further light into memory formation

Scientists at the Center for Interdisciplinary Research in Biology have shown that delta waves emitted while we sleep are not generalized periods of silence during which the cortex rests, as has been described for decades in the scientific literature. Instead, they isolate assemblies of neurons that play an essential role in long-term memory formation. These … Continue reading New findings of cortical activity during delta wave sleep sheds further light into memory formation

Anti aging drugs focus – Rapamycin

New opinion article by Dr. Mikhail V. Blagosklonny about anti aging drug published in the journal Aging. Drug in focus is rapamycin, which functions by inhibiting mTOR pathway. Similar drugs include everolimus. Normally when over-activated by nutrients and insulin, mTOR acts via S6K to inhibit insulin signaling, thereby causing insulin resistance. The evidence in preclinical … Continue reading Anti aging drugs focus – Rapamycin

Genetic-based epilepsy risk scores to promote precision medicine

Researchers led by Cleveland Clinic have developed new genetic-based epilepsy risk scores which could help provide more personalized epilepsy diagnosis and treatment. This research is published in the journal Brain. Researchers combined all known common genetic variants identified from several large genome wide association study cohorts, which included more than 12,000 people with epilepsy and … Continue reading Genetic-based epilepsy risk scores to promote precision medicine