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The study, published in the journal Genome Medicine, used artificial intelligence (AI) to examine genetic signatures of Crohn's disease in 111 people. Pixabay

Researchers have developed a new method that may help improve understanding and treatment of Crohn’s disease, which causes inflammation in digestive tract.

The study, published in the journal Genome Medicine, used artificial intelligence (AI) to examine genetic signatures of Crohn’s disease in 111 people.


The method can help in revealing previously undiscovered genes linked to the disease, and in predicting whether thousand others had the disease.

“Our method is not a clinical diagnosis tool, but it generates interesting observations that need to be followed up,” said senior author Yana Bromberg, Associate Professor at Rutgers University in the US.


Researchers have developed a new method that may help improve understanding and treatment of Crohn’s disease, which causes inflammation in digestive tract. Pixabay

“Further experimental work could reveal the molecular reasons behind some forms of Crohn’s disease and, potentially, lead to its better treatment,” Bromberg said.

Crohn’s disease affects around 780,000 people in the US.

Chronic inflammation may occur in any part of the gastrointestinal tract, although symptoms may occur elsewhere. It can also cause joint pain and skin problems, and children with the disease may have growth problems, according to the US National Library of Medicine.

The research team evaluated genetic variants in the 111 people, including 64 with Crohn’s disease, and used AI techniques to pinpoint genes whose functions changed more in Crohn’s patients than in healthy people, and vice versa.

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While the model’s accuracy might improve by including more people, it could help reveal the origin of Crohn’s disease and improve early diagnosis, the study said. “We can use the knowledge gained from this study to similarly model other genetically-linked diseases,” Bromberg said. (IANS)


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On the opening day of the wrestling competition, Ravi Kumar defeated Bulgaria's Georgi Vangelov 14-4 on technical superiority to reach the last-four in the men's 57kg category, while compatriot Deepak Punia overcame China's Zushen Lin 6-3 on points to advance to the semifinals.

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Ravi Kumar landed attack after attack and went 13-2 up, winning the bout by technical superiority with minutes to spare. In wrestling, building up a 10-point lead over the opponent results in a victory by technical superiority.

India's 86kg freestyle wrestler Deepak Punia showed no signs of the niggle that had forced him to pull out of the Poland Open Ranking Series in Warsaw in June, as he defeated Nigeria's Ekerekeme Agiomor on technical superiority to secure a quarterfinal berth.

He got his Olympic campaign to a fine start as he was in control from the start of the bout and hardly ever allowed his Nigerian opponent any room to maneuver his moves, finally winning with a 12-1 on technical superiority.

Punia, who had also suffered an elbow injury just before the Games, was slow at the start but came into his own as the bout progressed, inflicting takedowns at regular intervals to earn points.

The Indian wrestler eased into a 4-1 lead at the break and extended his lead comfortably in the second period.

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