Thursday April 19, 2018

Combination of Drugs for Diabetes and Hypertension may offer an effective new way to combat Cancer

the researchers found that the combination of the diabetes drug metformin and the antihypertensive drug syrosingopine drives cancer cells to programmed "suicide".

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Suicide for cancer cells via a combination drug
A combination drug of diabeties and hypertension to cure cancer,pixabay
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London, December 28, 2016: A combination of drugs for diabetes and hypertension may offer an effective new way to combat cancer, suggests a new research.

In their experiments, the researchers found that the combination of the diabetes drug metformin and the antihypertensive drug syrosingopine drives cancer cells to programmed “suicide”.

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 “We have been able to show that the two known drugs lead to more profound effects on cancer cell proliferation than each drug alone,” said study first author Don Benjamin from the University of Basel in Switzerland.

“The data from this study support the development of combination approaches for the treatment of cancer patients,” Benjamin noted.

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Metformin is a widely prescribed drug for the treatment of Type-2 diabetes.

Besides its blood sugar lowering effect, it also displays anti-cancer properties. The usual therapeutic dose, however, is too low to effectively fight cancer.

At higher doses, the antidiabetic drug inhibits the growth of cancer cells but could also induce unwanted side effects.

The new research published in the journal Science Advances showed that the antihypertensive drug syrosingopine enhances the anti-cancer efficacy of metformin.

The study showed the cocktail of these two drugs is effective in a wide range of cancers.

“For example, in samples from leukemia patients, we demonstrated that almost all tumour cells were killed by this cocktail and at doses that are actually not toxic to normal cells”, Benjamin said.

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“And the effect was exclusively confined to cancer cells, as the blood cells from healthy donors were insensitive to the treatment,” Benjamin noted.

In mice with malignant liver cancer, enlargement of the liver was reduced after the therapy. Also the number of tumor nodules was less — in some animals the tumours disappeared completely.

The researchers found that the drugs interrupt the vital processes which provide energy for the cancer cell. (IANS)

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  • Ruth

    I don’t like drink cocktail.

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Google AI can focus on individual speakers in a crowd

The visual signal not only improves the speech separation quality significantly in cases of mixed speech, but, importantly, it also associates the separated, clean speech tracks

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Google india launches 'Tz' to help people pay their utility bills. Wikimedia Commons
Google AI to identify speakers from crowd. Wikimedia Commons

Just as most smartphone cameras now allow users to focus on a single object among many, it may soon be possible to pick out individual voices in a crowd by suppressing all other sounds, thanks to a new Artificial Intelligence (AI) system developed by Google researchers.

This is an important development as computers as not as good as humans at focusing their attention on a particular person in a noisy environment. Known as the cocktail party effect, the capability to mentally “mute” all other voices and sounds comes natural to us humans.

Google has collaborated with getty images. Wikimedia Commons
Google AI will identify individual speakers now. Wikimedia Commons

However, automatic speech separation — separating an audio signal into its individual speech sources — remains a significant challenge for computers, Inbar Mosseri and Oran Lang, software engineers at Google Research, wrote in a blog post this week. In a new paper, the researchers presented a deep learning audio-visual model for isolating a single speech signal from a mixture of sounds such as other voices and background noise.

“In this work, we are able to computationally produce videos in which speech of specific people is enhanced while all other sounds are suppressed,” Mosseri and Lang said. The method works on ordinary videos with a single audio track, and all that is required from the user is to select the face of the person in the video they want to hear, or to have such a person be selected algorithmically based on context.

Also Read: Want To Know What Facebook, Google Know About You?

The researchers believe this capability can have a wide range of applications, from speech enhancement and recognition in videos, through video conferencing, to improved hearing aids, especially in situations where there are multiple people speaking. “A unique aspect of our technique is in combining both the auditory and visual signals of an input video to separate the speech,” the researchers said.

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This will also help in speech enhancement . VOA

“Intuitively, movements of a person’s mouth, for example, should correlate with the sounds produced as that person is speaking, which in turn can help identify which parts of the audio correspond to that person,” they explained.

The visual signal not only improves the speech separation quality significantly in cases of mixed speech, but, importantly, it also associates the separated, clean speech tracks with the visible speakers in the video, the researchers said. IANS