Friday January 24, 2020

Know the Low Cost Blood Cancer Detection Tool

For the study, the team used a form of clicker training to teach four beagles to distinguish between normal blood serum and samples from patients with malignant lung cancer

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doctors, blood cancer
Dogs have smell receptors 10,000 times more accurate than humans', making them highly sensitive to odours we can not perceive. Pixabay

Your canine friend can use its highly evolved sense of smell to pick out blood samples from people with cancer with almost 97 per cent accuracy, a finding that can lead to new low-cost and non-invasive screening approaches for the disease, finds a study.

Dogs have smell receptors 10,000 times more accurate than humans’, making them highly sensitive to odours we can not perceive.

“Although there is no cure for cancer, early detection offers the best hope,” said lead researcher Heather Junqueira, at BioScentDx, a US-based healthcare company. “A highly sensitive test for detecting cancer could save thousands of lives and change the way the disease is treated,” he said.

cancer
The team plans to use canine scent detection to develop a non-invasive way of screening for cancer and other life-threatening diseases. Pixabay

For the study, the team used a form of clicker training to teach four beagles to distinguish between normal blood serum and samples from patients with malignant lung cancer.

Although one beagle — aptly named Snuggles — was unmotivated to perform, the other three correctly identified lung cancer samples 96.7 per cent times and normal samples 97.5 per cent times.

“This work is very exciting because it paves the way for further research along two paths, both of which could lead to new cancer-detection tools,” said Junqueira.

dogs, blood cancer, cancer detection tool
“This work is very exciting because it paves the way for further research along two paths, both of which could lead to new cancer-detection tools,” said Junqueira. Pixabay

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“One is using canine scent detection as a screening method for cancers, and the other would be to determine the biologic  compounds the dogs detect and then design cancer-screening tests based on those compounds,” he said.

The results will be presented at the American Society for Biochemistry and Molecular Biology annual meeting in Florida. The team plans to use canine scent detection to develop a non-invasive way of screening for cancer and other life-threatening diseases.  (IANS)

Next Story

AI May Detect Blood Cancer with High Reliability, Says New Research

Put into application, this method could support conventional diagnostics and help save costs, said Schultze

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Cancer
Cancer Ribbon. Pixabay

Artificial Intelligence can help detect one of the most common forms of blood cancer – acute myeloid leukaemia (AML) – with high reliability, new research has found.

Their approach, based on the analysis of the gene activity of cells found in the blood, could support conventional diagnostics and possibly accelerate the beginning of therapy, said the study published in the journal iScience.

In the early stages the symptoms of AML can resemble those of a bad cold. However, AML is a life-threatening disease that should be treated as quickly as possible.

“With a blood test, as it seems possible on the basis of our study, it is conceivable that the family doctor would already clarify a suspicion of AML,” said Joachim Schultze, a research group leader at the German Center for Neurodegenerative Diseases (DZNE).

“And when the suspicion is confirmed, the patient is referred to a specialist. Possibly, the diagnosis would then happen earlier than it does now and therapy could start earlier,” added Schultze, who is also Head of the Department for Genomics and Immunoregulation at the LIMES Institute of the University of Bonn in Germany.

For the study, the researchers focused on the “transcriptome”, which is a kind of fingerprint of gene activity.

In each and every cell, depending on its condition, only certain genes are actually “switched on”, which is reflected in their profiles of gene activity.

Exactly such data – derived from cells in blood samples and spanning many thousands of genes – were analysed in the current study.

artificial intelligence, nobel prize
“Artificial intelligence is now one of the fastest-growing areas in all of science and one of the most talked-about topics in society.” VOA

“The transcriptome holds important information about the condition of cells. However, classical diagnostics is based on different data. We therefore wanted to find out what an analysis of the transcriptome can achieve using artificial intelligence, that is to say trainable algorithms,” said Schultze.

Data from more than 12,000 blood samples – these came from 105 different studies – were taken into account for the study.

Approximately 4,100 of these blood samples derived from individuals diagnosed with AML, the remaining ones had been taken from individuals with other diseases or from healthy individuals.

The scientists fed their algorithms parts of this data set. The input included information about whether a sample came from an AML patient or not.

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“The algorithms then searched the transcriptome for disease-specific patterns. This is a largely automated process. It’s called machine learning,” said Schultze.

Based on this pattern recognition, further data was analysed and classified by the algorithms – categorised into samples with AML and without AML.

Put into application, this method could support conventional diagnostics and help save costs, said Schultze. (IANS)