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Artificial nose can identify cancerous tissues during brain surgery

Health care Orissa POST

London:  Scientists have developed an artificial nose that may help doctors identify cancerous tissue during surgery, and enable them to remove tumours with more precision. Currently, electrosurgical resection using device — electric knife or
'London :  Scientists have developed an artificial nose that may help doctors identify cancerous tissue during surgery, and enable them to remove tumours with more precision. Currently, electrosurgical resection using device — electric knife or diathermy blade — is widely used technique in neurosurgery. They burn the cancerous tissues after which the tissue molecules disperse in the form of surgical smoke. Researchers at Tampere University in Finland developed a method in where surgical smoke is fed into a new type of measuring system that can identify malignant tissue and distinguish it from healthy tissue. “In current clinical practice, frozen section analysis is the gold standard for intraoperative tumour identification. In that method, a small sample of the tumour is given to a pathologist during surgery,” said Ilkka Haapala from Tampere University. The pathologist then undertakes a microscopic analysis of the sample and phones the operating theatre to report the results. This new technology, described in the Journal of Neurosurgery, is based on Differential Mobility Spectrometry (DMS), wherein flue gas ions are fed into an electric field. The distribution of ions in the electric field is tissue-specific, and the tissue can be identified on the basis of the resulting ‘odour fingerprint’. The study analysed 694 tissue samples collected from 28 brain tumours and control specimens.The equipment used was developed specifically for the study. It consists of a machine learning system, which analysed the flue gas with DMS technology, and an electric knife, which wass used to produce the flue gas from the tissues. The system’s classification accuracy was 83 per cent when all the samples were analysed. The accuracy improved in more restricted settings. “Our new method offers both a promising way to identify malignant tissue in real time and the ability to study several samples from different points of the tumour,” Haapala said. “The specific advantage of the equipment is that it can be connected to the instrumentation already present in neurosurgical operating theatres,” Haapala added. PTI'

Artificial nose can ‘sniff out’ cancerous tissues during brain surgery

Health care Daily Excelsior

LONDON: Scientists have developed an artificial nose that may help doctors identify cancerous tissue during surgery, and enable them to remove tumours with more precision.Electrosurgical resection using devices such as an electric knife or diathermy
'LONDON: Scientists have developed an artificial nose that may help doctors identify cancerous tissue during surgery, and enable them to remove tumours with more precision.Electrosurgical resection using devices such as an electric knife or diathermy blade is currently a widely used technique in neurosurgery.When tissue is burned, tissue molecules are dispersed in the form of surgical smoke.Researchers at Tampere University in Finland developed a method in where surgical smoke is fed into a new type of measuring system that can identify malignant tissue and distinguish it from healthy tissue. “In current clinical practice, frozen section analysis is the gold standard for intraoperative tumour identification.In that method, a small sample of the tumour is given to a pathologist during surgery,” said Ilkka Haapala from Tampere University.The pathologist undertakes a microscopic analysis of the sample and phones the operating theatre to report the results. “Our new method offers both a promising way to identify malignant tissue in real time and the ability to study several samples from different points of the tumour,” Haapala said. “The specific advantage of the equipment is that it can be connected to the instrumentation already present in neurosurgical operating theatres,” Haapala said.The technology, described in the Journal of Neurosurgery, is based on differential mobility spectrometry (DMS), wherein flue gas ions are fed into an electric field.The distribution of ions in the electric field is tissue-specific, and the tissue can be identified on the basis of the resulting “odour fingerprint.” The study analysed 694 tissue samples collected from 28 brain tumours and control specimens.The equipment used was developed specifically for the study.It consists of a machine learning system, which analyses the flue gas with DMS technology, and an electric knife, which is used to produce the flue gas from the tissues.The system’s classification accuracy was 83 per cent when all the samples were analysed.The accuracy improved in more restricted settings.When comparing low malignancy tumours to control samples, the classification accuracy of the system was 94 per cent, reaching to 97 per cent sensitivity and 90 per cent specificity. (AGENCIES) . The post Artificial nose can ‘sniff out’ cancerous tissues during brain surgery appeared first on Jammu Kashmir Latest News | Tourism | Breaking News J&K .'

App to detect Twitter bots in any language developed

IT Bilkul Online

London, June 14 : Researchers have developed a new application that uses Machine Learning (ML) to detect Twitter bots in any language. The study presented at the fourth conference of Digital Humanities in the Nordic Countries shows that the
'London, June 14 : Researchers have developed a new application that uses Machine Learning (ML) to detect Twitter bots in any language. The study presented at the fourth conference of Digital Humanities in the Nordic Countries shows that the application is able to detect auto-generated tweets independent of the language used.  “This enhances the quality of data and paints a more accurate picture of the reality,” said Mikko Laitinen, Professor at the University of Eastern Finland. In recent years, big data from various social media applications have turned the web into a user-generated repository of information in the ever-increasing number of areas, said the researchers.  Twitter has become a popular source of data for investigations of a number of phenomena Because of the relatively easy access to tweets and their meta-data. Twitter Bots are non-personal and automated accounts that post content to online social networks. It has been estimated that around 5 to 10 per cent of all users are bots and these accounts generate about 20-25 per cent of all tweets posted. For the study, the researchers analysed 15,000 tweets in Finnish, Swedish and English. Finnish and Swedish were mainly used for training, whereas tweets in English were used to evaluate the language independence of the application.  According to the researchers, the app is light, making it possible to classify vast amounts of data quickly and relatively efficiently. “Bots are relatively harmless, whereas trolls do harm as they spread fake news and come up with made-up stories. This is why there’s a need for increasingly advanced tools for social media monitoring”, said Laitinen.'

Hamilton wins 7th Canadian GP after Vettel penalty

Motorsports Telangana Today

Sebastian Vettel had taken the lead from the pole position and was ahead of Hamilton till lap 48 when he lost track.
'Montreal: Lewis Hamilton on Sunday secured a record-breaking seventh win at the 2019 Canadian Grand Prix after Sebastian Vettel was penalised for dangerous driving against his rival.During the race, both Vettel and Hamilton were engaged in a head-to-head battle when the former ran across the grass at the Turn 3-4 chicane accidentally, in the process squeezing the Britsh driver when he re-joined the track, Formula 1 reported.The incident led to the stewards awarding a five-second race time penalty to the German driver.Talking about the penalty, Vettel was quoted as saying: “I had nowhere to go.I didn’t see him.Where was I supposed to go?I have grass on my wheels.He decides to go that way, if he got to the inside he got past me.” Meanwhile, Ferrari will appeal against the decision over the five-second penalty given to Vettel which costed him in the race.Vettel had taken the lead from the pole position and was ahead of Hamilton till lap 48 when he lost track.It meant that Hamilton claimed a record-equalling seventh victory in Canada to match Michael Schumacher’s record in the country.In the process, Hamilton secured his fifth win of the season and extended his lead in the drivers’ standings.Speaking after he climbed out of the car, Hamilton said: “Naturally, absolutely it’s not the way I wanted to win.I was pushing to the end to try and get past.I forced him into an error, he went wide, I had the run on that corner and we nearly collided.It’s unfortunate, but this is motor racing.” Monaco’s Charles Leclerc finished third while Valtteri Bottas of Finland took the fourth position. . The post Hamilton wins 7th Canadian GP after Vettel penalty appeared first on Telangana Today .'

Bangladesh airlines pilot flying to bring PM back home caught without passport at Qatar airport

Travel and Experiences Daily Excelsior

DHAKA, June 7: A Bangladeshi pilot, who flew a special plane to bring Prime Minister Sheikh Hasina back from Finland after her three-nation visit, was caught without his passport at Qatar’s international airport, according to media reports.
'DHAKA, June 7: A Bangladeshi pilot, who flew a special plane to bring Prime Minister Sheikh Hasina back from Finland after her three-nation visit, was caught without his passport at Qatar’s international airport, according to media reports.Captain Fazal Mahmud of Biman Bangladesh Airlines was denied entry at the immigration of Doha International Airport in Qatar on Thursday after it was found that he travelled without passport, the airline officials said.The flag carrier sent the passport of the pilot in another flight to Qatar later, Civil Aviation Secretary Mohibul Haque told bdnews24.The airline is now sending another pilot to bring Prime Minister Hasina back to Bangladesh, he added.The prime minister is in Finland as part of her official trips to three countries.She had earlier visited Japan and Saudi Arabia.She is scheduled to return home on Saturday.Fazal flew a Boeing 787 Dreamliner from Dhaka to Qatar on Wednesday night to bring Prime Minister Hasina back home.The issue of him carrying no passport was discovered when the flight reached Qatar.Home Minister Asaduzzaman Khan has said actions will be taken against the pilot after an investigation into the incident. (PTI) . The post Bangladesh airlines pilot flying to bring PM back home caught without passport at Qatar airport appeared first on Jammu Kashmir Latest News | Tourism | Breaking News J&K .'