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What Next For Messenger RNA (mRNA)? Maybe Inhalable Vaccines

No one likes getting a needle but most want a vaccine. A new paper shows progress for messenger...

Toward A Single Dose Smallpox And Mpox Vaccine With No Side Effects

Attorney Robert F. Kennedy Jr. and his US followers over the last 25 years have staunchly opposed...

ChatGPT Is Cheaper In Medicine And Does Better Diagnoses Even Than Doctors Using ChatGPT

General medicine, routine visits and such, have gradually gone from M.D.s to including Osteopaths...

Even After Getting Cancer, Quitting Cigarettes Leads To Greater Longevity

Cigarettes are the top lifestyle risk factor for getting cancer, though alcohol and obesity have...

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A team of investigators from Brigham and Women's Hospital and the University of Massachusetts have developed a suite of computer algorithms that can accurately predict the behavior of the microbiome - the vast collection of microbes living on and inside the human body. In a paper published in Genome Biology, the authors show how their algorithms can be applied to develop new treatments for serious diarrheal infections, including Clostridium difficile, and inflammatory bowel disease. The team also shows how to identify bacteria most crucial for a healthy and stable microbial community, which could inform the development of probiotics and other therapies.

Disrupted fetal immune system development, such as that caused by viral infection in the mother, may be a key factor in the later appearance of certain neurodevelopmental disorders. This finding emerges from a Weizmann Institute study published in Science on June 23, 2016.

Increasingly becoming a necessity in Ecology and Earth Science research, handling complex data can be a tough nut when traditional statistical methods are applied. As one of its first publications, the new technologically-advanced Open Access journal One Ecosystem features a review paper describing the benefits of using machine learning technologies when working with highly-dimensional and non-linear data.

Research, involving scientists and doctors at the University of Southampton and Royal Bournemouth Hospital, has identified a network of genes that are likely to be shared by all patients who have chronic lymphocytic leukaemia (CLL).

Furthermore, the study has identified gene networks that are associated with patient survival, which could be identified as targets for treatment.

World-leading cancer researcher, Dr Christoph Bock, from the CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, led the project, in collaboration with Professor Jonathan Strefford from the University of Southampton and CLL clinician, Professor David Oscier from the Royal Bournemouth Hospital.

It has been published in Nature Communications.

AUGUSTA, Ga. (June 27, 2016) - A pain medicine that potently activates a receptor vital to a healthy retina appears to help preserve vision in a model of severe retinal degeneration, scientists report.

Potentially blinding diseases such as retinitis pigmentosa and macular degeneration result in the loss of photoreceptor cells in the retina that enable us to convert light into images.

COLUMBUS, OH - In the northern hemisphere, peak ultraviolet radiation exposure is predicted to occur between 2010 and 2020. Decreases in ozone lead to increased exposure to wavelengths in the ultraviolet range, and ultraviolet radiation in turn affects plants' ability to effectively use photosynthesis for growth and development. Scientists say large land areas could be affected by UV-B exposure on turfgrasses that are typically cut high, such as those grasses used for residential lawns, so identifying grasses that can grow in evaluated UV-B conditions is crucial.