Face shape lets AI spot rare disorders People with genetic syndromes(综合征）sometimes have revealing fa
英语试题 06-03
阅读下面短文，从短文后各题所给的A、B、C和D四个选项中，选出可以填入空白处的最佳选项。
Face shape lets AI spot rare disorders
People with genetic syndromes(综合征）sometimes have revealing facial features,but using them to make a quick and cheap diagnosis can be 41 given there are hundreds of possible conditions they may have.A new neural(神经系统）network that analyses photographs of faces can help doctors 42 the possibilities.
Yaron Gurovich at biotechnology firm FDNA in Boston and his team built a neural network to look at the overall impression of faces and 43 a list of the 10 genetic syndromes a person is most likely to have.
They 44 the neural network,called DeepGestalt,on 17,000 images correctly labeled to match more than 200 genetic syndromes.The team then asked AI to 45 potential genetic disorders from a further 502 photos of people with such conditions. It included the correct answer among its list of 10 responses 91 per cent of the time.
Gurovich and his team also 46 the neural network's ability to distinguish between the different genetic mutations(父异）that can lead to the same syndrome.They used photographs of people with Noonan syndrome,which can result from mutations in any one of five genes.DeepGestalt correctly identified the genetic source of the physical appearance 64 per cent of the time.It's clearly not 47,but it's still much better than humans are at trying to do this.
As the system makes its assessments,the facial regions that are most helpful in the determination are 48 and made available for doctors to view.This helps them to understand the relationships between genetic make-up and physical appearance.
The fact that the diagnosis is based on a simple photograph raises questions about_49.If faces can reveal details about genetics,then employers and insurance providers could,in principle,50 use such techniques to 51 against people who have a high probability of having certain disorders.52. Gurovich says the tool will only be 53 for use by clinicians.
This technique could bring significant 54 for those who have genetic syndromes.The real value here is that for some of these ultra-rare diseases,the process of diagnosis can be many,many years.This kind of technology can help narrow down the search space and then be confirmed through checking genetic markers.For some diseases,it will cut down the time to diagnosis dramatically.For others,it could perhaps add means of finding other people with the disease and, 55,help find new treatments or cures.
41.A.convincing B.practical C.reliable D.tricky
42.A.narrow down B.result in C.bring about D.arise from
43.A. wait B.return C. mail D.feed
Face shape lets AI spot rare disorders
People with genetic syndromes(综合征）sometimes have revealing facial features,but using them to make a quick and cheap diagnosis can be 41 given there are hundreds of possible conditions they may have.A new neural(神经系统）network that analyses photographs of faces can help doctors 42 the possibilities.
Yaron Gurovich at biotechnology firm FDNA in Boston and his team built a neural network to look at the overall impression of faces and 43 a list of the 10 genetic syndromes a person is most likely to have.
They 44 the neural network,called DeepGestalt,on 17,000 images correctly labeled to match more than 200 genetic syndromes.The team then asked AI to 45 potential genetic disorders from a further 502 photos of people with such conditions. It included the correct answer among its list of 10 responses 91 per cent of the time.
Gurovich and his team also 46 the neural network's ability to distinguish between the different genetic mutations(父异）that can lead to the same syndrome.They used photographs of people with Noonan syndrome,which can result from mutations in any one of five genes.DeepGestalt correctly identified the genetic source of the physical appearance 64 per cent of the time.It's clearly not 47,but it's still much better than humans are at trying to do this.
As the system makes its assessments,the facial regions that are most helpful in the determination are 48 and made available for doctors to view.This helps them to understand the relationships between genetic make-up and physical appearance.
The fact that the diagnosis is based on a simple photograph raises questions about_49.If faces can reveal details about genetics,then employers and insurance providers could,in principle,50 use such techniques to 51 against people who have a high probability of having certain disorders.52. Gurovich says the tool will only be 53 for use by clinicians.
This technique could bring significant 54 for those who have genetic syndromes.The real value here is that for some of these ultra-rare diseases,the process of diagnosis can be many,many years.This kind of technology can help narrow down the search space and then be confirmed through checking genetic markers.For some diseases,it will cut down the time to diagnosis dramatically.For others,it could perhaps add means of finding other people with the disease and, 55,help find new treatments or cures.
41.A.convincing B.practical C.reliable D.tricky
42.A.narrow down B.result in C.bring about D.arise from
43.A. wait B.return C. mail D.feed
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