Medical News from ScienceDaily: Health & Medicine

CRISPR helps find new genetic suspects behind ALS/FTD

March 12, 2018, 11:15 am by ScienceDaily: Health & Medicine

Researchers used the gene editing tool CRISPR to rapidly identify genes in the human genome that might modify the severity of amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) caused by mutations in a gene called C9orf72. The results of the search uncovered a new set of genes that may hasten neuron death during the disease.


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More medical news from ScienceDaily: Health & Medicine

Broken shuttle may interfere with learning in major brain disorders
ScienceDaily: Health & Medicine : June 22, 2018, 7:47 am
A broken shuttle protein may hinder learning in people with intellectual disability, schizophrenia, or autism.

Drug compound stops cancer cells from spreading in mice
ScienceDaily: Health & Medicine : June 22, 2018, 7:47 am
New research shows that it may be possible to freeze cancer cells and kill them where they stand.

Miniature testing of drug pairs on tumor biopsies
ScienceDaily: Health & Medicine : June 22, 2018, 7:47 am
Combinations of cancer drugs can be quickly and cheaply tested on tumour cells using a novel device developed by scientists. The research marks the latest advancement in the field of personalized medicine.

Mosquito-borne diseases in Europe: Containment strategy depends on when the alarm sets off
ScienceDaily: Health & Medicine : June 22, 2018, 7:47 am
New research based on the Italian experience with outbreaks of Chikungunya, a disease borne by the tiger mosquito, in 2007 and 2017, shows that different vector control strategies are needed, depending on the time when the first cases are notified, 'thus providing useful indications supporting urgent decision-making of public health authorities in response to emerging mosquito-borne epidemics', one of the researchers says.

Important step towards a computer model that predicts the outcome of eye diseases
ScienceDaily: Health & Medicine : June 22, 2018, 7:47 am
Understanding how the retina transforms images into signals that the brain can interpret would not only result in insights into brain computations, but could also be useful for medicine. As machine learning and artificial intelligence develop, eye diseases will soon be described in terms of the perturbations of computations performed by the retina. A newly developed model of the retina can predict with high precision the outcome of a defined perturbation.