1 . PRACTITIONERS
Jacqueline Felice de Almania (c.1322) highlights the suspicion that women practicing medicine faced. Born to a Jewish family in Florence, she moved to Paris where she worked as a physician and performed surgery. In 1322 she was tried for practicing unlawfully. In spite of the court hearing testimonials (证明) of her ability as a doctor, she was banned from medicine. | James Barry (c.1789 — 1865) was born Margaret Bulkley in Ireland but, dressed as a man, she was accepted by Edinburgh University to study medicine. She qualified as a surgeon in 1813, then joined the British Army, serving overseas. Barry retired in 1859, having practiced her entire medical profession living and working as a man. |
Tan Yunxian (1461 — 1554) was a Chinese physician who learned her skills from her grandparents. Chinese women at the time could not serve apprenticeships (学徒期) with doctors. However, Tan passed the official exam. Tan treated women from all walks of life. In 1511, Tan wrote a book, Sayings of a Female Doctor, describing her life as a physician. | Rebecca Lee Crumpler (1831 — 1895) worked as a nurse for eight years before studying in medical college in Boston in 1860. Four years later, she was the first African American woman to receive a medical degree. She moved to Virginia in 1865, where she provided medical care to freed slaves. |
A.Doing teaching jobs. | B.Being hired as physicians. |
C.Performing surgery. | D.Being banned from medicine. |
A.She wrote a book. | B.She went through trials. |
C.She worked as a dentist. | D.She had formal education. |
A.Jacqueline Felice de Almania. | B.Tan Yunxian. |
C.James Barry. | D.Rebecca Lee Crumpler. |
Acupuncture (针灸) has been a treatment for countless patients for thousands of years in China. Before modern medicine came to life, stone tools
Acupuncture is a treatment that is aimed
Looking beyond China, acupuncture has become a global treatment. Over the years, acupuncture
Acupuncture, as
3 . Reasonable people should not have blind faith in the medical profession.
While it is true that modern Western medicine has risks, we shouldn’t reject it totally.
If this is the case why has “alternative” health care become so popular in North America and Europe? Often the fear of surgery motivates people to look for these alternatives. Many people think that these treatments will help even when the situation seems hopeless to Western doctors.
A.Some alternative treatments are ineffective. |
B.In addition everyone wants to be treated warmly. |
C.We have to realize that there will be risks in almost any treatment. |
D.Alternative treatments are attractive because they seem less harmful. |
E.Patients who trust their doctors are more likely to follow treatment plans. |
F.We all have to get more information about the treatments that we are given. |
G.The harm to the patients usually comes from not getting medical treatment immediately. |
During the Hangzhou 2023 Asian Games, athletes from around the world have been exploring acupuncture (针灸). a component of Traditional Chinese Medicine (TCM). This practice
TCM, which includes acupuncture, herbal therapy, massage, Tai Chi, and Qigong remains
While China places significant emphasis
TCM has been recognized for the potential benefits, particularly when
As research into TCM continues to advance and more individuals embrace it for their healthcare needs, the field is
5 . Growing up in a small village in Ghana, Osei Boateng watched many of his family members and neighbors struggle to access basic health care. In many regions of the country, it can take hours to get to the nearest hospital. “My grandmother was a very big part of my life,” said Boateng. “It was very hard when we lost her, and it was due to something that could have been easily prevented. That is the painful part of it.”
Feeling an urgent call to help, Boateng decided he would make it his life’s mission to bring health care to remote communities in Ghana. He started his nonprofit, OKB Hope Foundation, and in 2021, he converted a van into a mobile doctor’s office called the Hope Health Van and started bringing health care directly to those in need. A few times a week, the mobile clinic and medical team travel long distances to remote communities in Ghana and provide routine medical care for free. On each trip, Boateng’s team consists of a nurse, a physician’s assistant, a doctor, and an operation assistant. In the van, they can run basic labs like bloodwork and urinalysis as well as prescribe and provide medications.
Since its launch, Boateng says the Hope Health Van has served more than 4,000Ghanaians across more than 45 rural communities who otherwise don’t have easily accessible medical care.
Boateng has big plans for the future. He hopes to expand to provide more consistent and high-quality medical care not only to those living in remote areas of Ghana but in other countries as well. He has gone all in on his OKB Hope Foundation, recently quitting his job to dedicate his time to bringing health care to his home country. But for him, the sacrifices are well worth the reward.
1. Why is Boateng’s grandmother mentioned?A.To show his deep love. | B.To highlight the poor health care. |
C.To call for equality. | D.To blame the government. |
A.Routine medical checks. | B.Prescribed medicine. |
C.Minor operations. | D.Mental therapy. |
A.Conservative and cautious. | B.Selfless and risky. |
C.Caring and tolerant. | D.Devoted and ambitious. |
A.Hopeless health care in Ghana | B.Nonprofit organizations booming in Ghana |
C.Doctor’s office on wheels | D.Empowering medical schools |
6 . Medical artificial intelligence (AI) can perform with expert-level accuracy and deliver cost-effective care. IBM’s Watson diagnoses (诊断) heart disease better than cardiologists (心脏病专家) do. Chatbots give better medical advice to patients in place of nurses. Some forecast that medical AI will enter 90% of hospitals and replace as much as 80% of what doctors currently do. Yet, as our recent research suggests, patients show a strong resistance to medical AI.
The reason, we found, is not the belief that AI provides lower care. Nor is it that patients think that AI is more costly or less informative. Rather, resistance to medical AI seems to come from a belief that AI does not take into account one’s specific circumstances. People view themselves as unique. By contrast, they think medical care delivered by AI providers is suited to treat an average patient but unsuitable to account for the unique circumstances that apply to an individual. No wonder that medical AI providers are given a cold welcome.
There are a number of steps that care providers can take to overcome patients’ resistance to medical AI. For example, if an AI provider is capable of tailoring its recommendation for whether to have a surgery to each patient’s unique characteristics and medical history, patients would be likely to follow the treatment recommendations of the AI provider. In addition, health care providers could also deliver individualized health care by explaining how the algorithms (算法) work and sharing patients’ reviews with the media. Having a physician confirm the recommendation of an AI provider should make people more willing to accept AI-based care. People are comfortable using medical AI if a physician remains in charge of the ultimate decision.
AI-based health care technologies are being developed and employed at an impressive rate, providing better medical services for the patients. But harnessing the full potential of them will require that we first overcome patients’ doubt of having an algorithm, rather than a person making decisions about their care.
1. What made people resist the medical AI?A.A sufferer’s temper ignored by medical AI. |
B.People’s lasting trust in a human doctor’s ability. |
C.The concern about its personalization in treatment. |
D.The accuracy of the information from medical AI. |
A.Treating sufferers as average patients. |
B.Providing a more specific treatment. |
C.Getting the algorithms prioritized in time. |
D.Keeping away from the influence of a physician. |
A.Weakening. | B.Storing. | C.Destroying. | D.Using. |
A.Advantages of Medical AI |
B.Potential Application of AI |
C.How AI Replaces Nurses in Healthcare |
D.The Challenge That Medical AI Faces |
Acupuncture (针灸), a traditional Chinese medical practice,
Practices can vary in forms, including needle insertion, cupping and scraping. Needle insertion,
Looking beyond China, acupuncture has become a global therapy. According to a 2019 WHO report, acupuncture is used in 113 of its 120 member countries,
With a rich history and deep cultural significance, acupuncture has seen many
8 . Researchers from ETH Zurich, the University of Zurich, and the University Hospital Zurich have made a significant breakthrough in the field of precision medicine. They have developed a machine learning approach known as CellOT that can predict how individual cells react to specific treatments. This development promises more accurate diagnoses and therapeutics, particularly in the fight against cancer.
Precision medicine, which aims to find the most effective drug combination and dosage (剂量) based on individual patient characteristics, has been a critical goal in the battle against cancer. Central to this is understanding how individual cells respond to treatment, a challenge that the research team from Zurich has tackled head-on with their innovative method.
CellOT is a groundbreaking approach that identifies the distinct reactions individual cells within a larger population can have to a drug. The average response of a cell population often does not capture the full complexity of how certain tumor cells survive or develop resistance to drugs. CellOT addresses this by predicting the effects of perturbations (扰动) on cells, paving the way for more effective and personalized cancer treatments.
Perturbations are changes caused by chemical, physical, or genetic influences, such as the effects of drugs on cancer cells. By understanding which cells respond to a drug and identifying the traits of resistant cells, researchers can develop new treatment strategies that prevent cell growth or cause pathogenic (致病的) cells to die.
For CellOT, the researchers use novel machine learning algorithms and train these with both data from unperturbed cells and data from cells that changed after a perturbation response. In the process, the algorithm learns how cellular perturbation reactions arise, how they progress, and the likely phenotypes (显性类型) of altered cell states.
The study, published in Nature Methods, shows that CellOT is not just effective for cancer cells. It can also be used on other pathogenic cells involved in autoimmune diseases like lupus erythematosus (红斑狼疮), indicating its potential in advancing treatments for various diseases.
A key innovation of CellOT is its predictive ability. By evaluating existing cell measurement data, and thus expanding the knowledge of cellular perturbation reactions, CellOT can predict how individual cells will respond to perturbations that have not been measured in the laboratory. This capability opens up new avenues for targeted and personalized treatments.
While CellOT holds immense promise, comprehensive clinical trials are still required before the approach can be used in a hospital setting. Nevertheless, the development of this method marks a significant step towards a more nuanced (细腻的) understanding of individual cell responses to drugs. It fuels the hope for more effective cancer treatments and advances in precision medicine.
1. The underlined word “this” in Paragraph 3 refers to _______.A.various responses of a cell population to drugs |
B.the average reaction of a cell population to drugs |
C.the resistance from a group of cancer cells to drugs |
D.the survival of a population of cancer cells to drugs |
A.has proved efficient in some Zurich hospitals |
B.can cause perturbations inside a human body |
C.may bring about better treatments for various diseases |
D.focuses on monitoring the development of cancer cells |
A.The limitations of CellOT. |
B.Suggestions for CellOT improvement. |
C.An explanation of further research. |
D.Future implications of CellOT. |
A.A Groundbreaking Medicine for Cancer |
B.Precision Medicine is Around the Corner |
C.How Machine Learning Helps Zurich Doctors |
D.CellOT: Advancing Precision Cancer Treatment |
9 . Researchers have developed a material made of collagen protein (胶原蛋白) from pig’s skin, which resembles the human cornea (眼角膜) and restored vision to 20 people. The promising result of the trial brings hope to people suffering from corneal blindness.
An estimated 12.7 million people around the world are blind due to their corneas being damaged or diseased. Their only way of regaining vision is to receive a transplanted cornea from a human donor. But just one in 70 patients receives a cornea transplant. Furthermore, most of them live in low and middle-income countries in which access to treatments is very limited.
To avoid the above disadvantages of traditional cornea treatment, the researchers used collagen protein from pig’s skin. “It is possible to develop a biomaterial that meets all the criteria for being used as human implants (移植物), which can be mass-produced and reach more people with vision problems,” said Professor Neil Lagali. While donated corneas must be used within two weeks, the bioengineered corneas can be stored for up to two years before use. The pig skin used is a byproduct of the food industry, making it easy to access.
The researchers have also developed a new surgical method for treating the disease. No stitches (缝针) are needed with this new method. In a pilot study, 14 of the 20 participants were blind before the operation. After two years, all of the patients regained their sight. Three of the Indian participants who had been blind had perfect vision after the operation.
The researchers also want to study whether the technology can be used to treat more eye diseases, and whether the implant can be adapted to the individual for even greater effectiveness.
1. What is the disadvantage of traditional cornea treatment?A.Serious side effects. | B.Low availability rate. |
C.Poor medical equipment. | D.Complicated surgical process. |
A.It has higher production costs. | B.It can be stored for much longer. |
C.It is able to be used for several times. | D.It can help people prevent vision problems. |
A.Successful. | B.Ineffective. | C.Convenient. | D.Controversial. |
A.To spread knowledge about cornea donation. |
B.To show the difficulties of treating blindness. |
C.To call on people to protect their eyes properly. |
D.To present a new breakthrough in the medical field. |
10 . A brain implant allowed people with head injuries to function again. The deep brain stimulation implant, developed by researchers at Stanford University, aims to boost activity between the regions responsible for consciousness learning, memory, thinking and problem solving.
During the early trial, five people with brain injuries reported they were able to concentrate, read, remember and drive properly. The trial proved so effective that researchers had trouble completing the final stage, which was to switch off the device for three random participants after two of the patients declined.
Gina Arata, a trial participant, said, “I couldn’t remember anything. My left foot dropped, so I’d trip over things all the time. I was always in car accidents. Since the implant, I haven’t had any speeding tickets. I don’t trip anymore. I can remember how much money is in my bank account.”
Researchers selected patients for the trial who had recovered from comas (昏迷) with brain systems believed to be still well preserved, but not functioning as well as previously. “In these patients, those pathways are largely complete, but everything has been down-regulated (下降),” said Dr Jaimie Henderson, a professor of neurosurgery. “It’s as if the lights had been darkened and there just wasn’t enough electricity to turn them back up.” The researchers hoped that precise electrical stimulation of specific areas could turn the “lights” back up, and created a virtual model of each participant’s brain so they could trial stimulation at different locations ahead of surgery.
Guided by the theory, Dr Henderson implanted the device in the five participants who had sustained injuries between three and 18 years earlier. After allowing the device to bed-in for two weeks, the participants spent 90 days with it turned on for 12 hours a day. At the end of the 90-day treatment period, the participants had improved their mental processing speeds by an average of 32 percent.
“This is a pioneering moment,” said Dr Nicholas Schiff, co-senior author of the study. “Our goal now is to try to take the systematic steps to make this a therapy (疗法). This is enough of a signal for us to make every effort.”
1. What made it hard to end the last stage of the trial?A.Researchers’ wrong solution to problems. |
B.Participants’ refusal to turn off the device. |
C.The decrease in the number of participants. |
D.Patients’ unwillingness to pay for the trial. |
A.To present the patient’s urgent need. |
B.To warn about the dangers of speeding. |
C.To prove the effectiveness of the device. |
D.To show the difficulty of conducting trials. |
A.Prove a finding. |
B.Explain a theory. |
C.Draw a conclusion. |
D.Present a new topic. |
A.The result of the trial is very encouraging. |
B.He needs more evidence to support the trial. |
C.The process of the trial is far from scientific. |
D.The therapy has already been widely received. |