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Category: biotech/medical – Page 2415

An example graph of polypharmacy side effects derived from genomic and patient population data, protein–protein interactions, drug–protein targets, and drug–drug interactions encoded by 964 different polypharmacy side effects. The graph representation is used to develop Decagon. (credit: Marinka Zitnik et al./Bioinformatics)

Millions of people take up to five or more medications a day, but doctors have no idea what side effects might arise from adding another drug.*

Now, Stanford University computer scientists have developed a deep-learning system (a kind of AI modeled after the brain) called Decagon** that could help doctors make better decisions about which drugs to prescribe. It could also help researchers find better combinations of drugs to treat complex diseases.

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Finger pricks and daily insulin injections are currently the leading regimen for those with type 1 diabetes, a condition in which the body’s insulin producing cells beta cells are destroyed. And it’s not foolproof.

Patients can often face risks over overcorrecting their blood sugar levels, which can potentially lead to hypoglycemia – low blood sugar – and coma.

Insulin is responsible for regulating the amount of sugar in the blood, and dysfunctions with it can cause diabetes.

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In an experiment with global implications, Australian scientists have successfully wiped out more than 80% of disease-carrying mosquitoes in trial locations across north Queensland.

The experiment, conducted by scientists from the Commonwealth Scientific and Industrial Research Organization (CSIRO) and James Cook University (JCU), targeted Aedes aegypti mosquitoes, which spread deadly diseases such as dengue fever and Zika.

In JCU laboratories, researchers bred almost 20 million mosquitoes, infecting males with bacteria that made them sterile. Then, last summer, they released over three million of them in three towns on the Cassowary Coast.

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Scientists at the California Institute of Technology can now assess a person’s intelligence in moments with nothing more than a brain scan and an AI algorithm, university officials announced this summer.

Caltech researchers led by Ralph Adolphs, PhD, a professor of psychology, neuroscience and biology and chair of the Caltech Brain Imaging Center, said in a recent study that they, alongside colleagues at Cedars-Sinai Medical Center and the University of Salerno, were successfully able to predict IQ in hundreds of patients from fMRI scans of resting-state brain activity. The work is pending publication in the journal Philosophical Transactions of the Royal Society.

Adolphs and his team collected data from nearly 900 men and women for their research, all of whom were part of the National Institutes of Health (NIH)-driven Human Connectome Project. The researchers trained their machine learning algorithm on the complexities of the human brain by feeding the brain scans and intelligence scores of these hundreds of patients into the algorithm—something that took very little effort on the patients’ end.

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A disclaimer on the new article that I wrote: while I do think the Beta-amyloid plaque plays a key role in the development of Alzheimer’s disease I do not think it’s the only thing. I’ll be writing more on Alzheimer’s disease as I study more.

The abnormal accumulation β-amyloid peptide is the leading candidate for the cause of Alzheimer’s disease is currently ranked the 6 th leading cause of death in the United States while some statistics claim it may rank as high as the third leading cause of death.

What is Alzheimer’s disease?

Alzheimer’s is a slowly progressive disease that causes the loss of memories and cognitive function. It is the most common form of dementia and accounts for 60 to 80% of cases.

Continue reading “Deletion of BACE 1 Enzyme Reverses The Symptoms of Alzheimer’s” | >