1.阅读理解

Imagine a simple blood test that could flag most kinds of cancers at the earliest, most curable stage. Liquid biopsies could, in theory, detect a tumor (肿瘤) well before it could be found by touch, symptoms or imaging. Blood tests could avoid the need for surgeons to cut tissue samples and make it possible to reveal cancer hiding in places needles and scalpels cannot safely reach. They could also determine what type of cancer is taking root to help doctors decide what treatment might work best to destroy it.

Liquid biopsies are not yet in hand, because it is hard to find definitive cancer signals in a tube of blood, but progress in recent years has been impressive. Last year the journal Science published the first big prospective study of a liquid biopsy for DNA and proteins from multiple types of cancers. Though far from perfect, the blood test called CancerSEEK found 26 tumors that had not been discovered with conventional screenings.

Liquid biopsies can rely on a variety of biomarkers in addition to tumor DNA and proteins, such as free-floating cancer cells themselves. But what makes the search difficult, Ana Robles, a cancer biologist of the National Cancer Institute, explains, is that "if you have an early-stage cancer or certain types of cancer, there might not be a lot of tumor DNA," and tests might miss it. The ideal blood test will be both very specific and very sensitive so that even tiny tumors can be found. To tackle this challenge, CancerSEEK looks for cancer-specific mutations (突变) on 16 genes, and for eight proteins that are linked to cancer and for which there are highly sensitive tests.

Simple detection is not the only goal. An ideal liquid biopsy will also determine the likely location of the cancer so that it can be treated. "Mutations are often shared among different kinds of cancer, so if you find them in blood, you don't know if that mutation is coming from a stomach cancer or lung cancer," says Anirban Maitra, a cancer scientist at the Anderson Cancer Center. To solve that problem, some newer liquid biopsies look for changes in gene expression. Such changes, Maitra notes, are "more organ-specific".

On the nearer horizon are liquid biopsies to help people already diagnosed with cancer. Last year the government approved the first two such tests, which scan for tumor DNA so doctors can select mutation-targeted drugs. Scientists are working on blood tests to detect the first signs of cancer recurrence (复发) in patients who have completed treatment. This work is moving fast, but does it save lives?

That is the question companies such as Thrive and Grail must answer for their broadly ambitious screening tests. "These companies have to prove that they can detect early cancer and, more important, that the early detection can have an impact on cancer survival," Maitra observes.

(1) According to the passage, liquid biopsies are expected to ______. A. flag cancer and determine the treatment B. detect cancer signals from a sample of blood C. take images of tumors and prevent potential cancers D. show types of cancer by measuring the amount of proteins
(2) What can we learn from the passage? A. Signs of cancer recurrence are not detectable. B. Different kinds of cancer have different gene mutations. C. Biomarkers are much more reliable than tumor DNA and proteins. D. Organ-specific cancers will be identified through changes in gene expression.
(3) The author is mostly concerned about whether ______. A. liquid biopsies can discover tumors conventional screenings can't find B. liquid biopsies can improve the application of mutation-targeted drugs C. liquid biopsies can help save the lives of those with cancer D. liquid biopsies can be developed for cancer prevention
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推理判断题; 细节理解题; 科普环保类; 说明文;
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1.阅读理解

The different parts of a health care system have different focuses. A hospital's stroke (中风) unit monitors blood flow in the brain. The cardiac unit is interested in that same flow, but through and from the heart. Each collection of equipment and data is effective in its own field. Thus, like the story of blind men feeling an elephant, modern health care offers many separate pictures of a patient, but rarely a useful united one.

On top of all this, the instruments that doctors use to monitor health are often expensive, as is the training required to use them. That combined cost is too high for the medical system to scan regularly, for early signs of illness, so patients are at risk of heart disease or a stroke.

An unusual research project called AlzEye, run by Moorfields Eye Hospital in London, in cooperation with University College, London (UCL) , may change this. It is attempting to use the eye as a window through which signals about the health of other organs could be discovered. The doctors in charge of it, Siegfried Wagner and Pearse Keane, are studying Moorfields' database of eye scans, which offers a detailed picture of the health of the retina (视网膜).

The project will go a step further:With the information about other aspects of patients' health collected from other hospitals around England, doctors will be able to look for more accurate signs of disease through eye scans.

The Moorfields data set has lots of linked cases to work with--far more than any similar project. For instance, the UK Biobank, one of the world's leading collections of medical data about individual people, contains 631 cases of a "major cardiac adverse event". The Moorfields data contain about 12, 000 such. The Biobank has data on about 1, 500 stroke patients. Moorfields has 11, 900. For the disease on which the Moorfields project will focus to start with dementia, the data set holds 15, 100 cases. The only comparable study has 86.

Wagner and Keane are searching for patterns in the eye that show the emergence of disease elsewhere in the body. If such patterns could be recognized reliably, the potential impact would be huge.

(1) Why does the author mention "the story of blind men feeling an elephant" in Paragraph 1? A. To claim the ineffectiveness of our health care system. B. To tell the similarity in various health care units. C. To explain the limitation of modern health care. D. To show the complexity of patients' pictures.
(2) What does the underlined word "this" in Paragraph 3 refer to? A. The challenge of making advanced medical instruments. B. The high risk of getting a heart disease or a stroke C. The inconvenience of modern health care service. D. The incomplete and expensive health monitoring.
(3) How does AlzEye work? A. By thoroughly examining one's body organs. B. By identifying one's state of health through eye scans C. By helping doctors discover one's diseases of the eye D. By comparing the eye-scan data from different hospitals.
(4) What can be inferred about the Moorfields's project from Paragraph 5? A. It takes advantage of abundantly available medical data. B. It makes the collection of medical data more convenient. C. It improves the Moorfields' competitiveness in the medical field. D. It strengthens data sharing between the Moorfields and the Biobank.
阅读理解 未知 普通
2.阅读下列短文,从每题所给的A、B、C和D四个选项中,选出最佳选项。

Every morning at five o'clock, composer (作曲家) Walter Werzowa would sit down at his computer waiting for a particular daily e-mail. It came from a team that had been working all night to draft Beethoven's unfinished 10th Symphony. The e-mail contained hundreds of versions, and Werzowa listened to them all, looking for the perfect tune—a sound that was unmistakably Beethoven. But the phrases he was listening to weren't composed by Beethoven. They were created by artificial intelligence.

When Ludwig van Beethoven died in 1827, he left behind some musical drafts and notes. There was barely enough to make out a phrase, let alone a whole symphony. But that didn't stop people from trying.

Werzowa and a group of music experts and computer scientists teamed up to use machine learning to create the symphony. Ahmed Elgammal led the AI side of the team. The team's first task was to teach the AI to think like Beethoven. To do that, they gave it Beethoven's complete works, his drafts and notes. They taught it Beethoven's process—like how he went from four notes to his entire Fifth Symphony. Then they taught it to compose a bridge between two sections. With all that knowledge, the AI came as close to thinking like Beethoven as possible. But it still wasn't enough. The AI doesn't really produce something that can continue for a long time and be consistent. So the team had to put the selected pieces together to build a symphony.

Matthew Guzdial researches creativity (创造力) and machine learning at the University of Alberta. He didn't work on the Beethoven project, but he says, "Modern AI, modern machine learning, is all about just copying small local patterns. And it's up to a human to then take what the AI outputs and find the genius (天资). The genius wasn't in the AI. The genius was in the human who was doing the selection."

(1) How did Walter Werzowa contribute to the Beethoven project? A. He trained the AI to think like a human. B. He replied to daily e-mails every morning. C. He selected the best tune created by the AI. D. He drafted Beethoven's unfinished symphony.
(2) What was the major challenge the team met? A. The AI was far from thinking like Beethoven. B. It was hard to put pieces together to build a symphony. C. The AI couldn't create a long and consistent piece of music. D. There were not enough complete works for machine learning.
(3) Which of the following would Matthew Guzdial most probably agree with? A. Al is likely to be a barrier to creativity. B. The potential of AI is being brought out. C. The value of AI shouldn't be overlooked. D. AI can't totally replace the role of humans.
阅读理解 常考题 普通
3.阅读理解

B

On the way to his home the child turned many times and beat the dog,declaring with childish gestures that he held him in contempt(茂视)as an unimportant dog.the dog apologized for being this quality of animal and expressed regret in fine form,but he continued stealthily to follow the child.

When the child reached his door-step,the dog was a few yards behind,moving slowly toward him.He became so anxious with shame when ho again faced the child that he forgot the dragging rope . He tripped(绊倒) upon it and fell forward.

The child sat down on the step and the two had another interview. During it the dog greatly exerted himself to please the child. He performed a few playful jumps with such abandon(尽情地) that the child suddenly saw him to be a valuable thing. He made a swift,greedy charge(猛冲)and seized the rope.

He dragged his captive(俘虏) into a hall and up many long stairways in a dark building. The dog made willing efforts, but he could not walk very skillfully up the stairs because he was very small and soft,and at last the pace of the child grew so energetic that the dog became panic-stricken. In his mind he was being dragged toward somewhere unknown. His ayes grew wild with the terror of it. He began to wiggle his head wildly and to brace his legs.

The child redoubled his efforts.They had a battle on the stairs.The child was victorious because he was completely absorbed in his purpose,and because the dog was very small.He dragged his acquirement to the door of his home,and finally with victory across the doorway.

No family member was in.The child sat down on the floor and made overtures to(向....示好) the dog.These the dog instantly accepted.He smiled with affection upon his new friend.In a short time they were firm and abiding(矢志不渝的)comrades.

(1)  What might have happened before the first paragraph? A. The child had wanted to own the dog for a long time. B. The dog had been someone else' s pet but lost his way. C. The child had been looking for the lost dog for a long time. D. The dog had been driven out of home by the child's family.
(2)  What directly made the boy change his mind? A. The dog's apology. B. His first interview with the dog. C. His pity on the dog. D. The dog's pleasing performance.
(3) What can we know from paragraph 4 and 5? A. The boy was naughty. B. The dog was foolish. C. The boy was a devoted friend. D. The dog was a faithful friend.
(4) Which of the following best describe the change of the dog's feeling? A. Frightened-relieved-anxious-happy. B. Worried-angry-scared-delighted. C. Guilty-anxious-nervous-pleased. D. Angry-regretted-scared-puzzled.
阅读理解 未知 普通