Drug development is one of the slowest processes in modern science. Around 90% of drug candidates never reach the market. This makes medicine creation very expensive and difficult. However, artificial intelligence is changing this situation. AI can now analyze millions of molecules quickly. It picks the most promising ones for testing. This saves years of work that used to be necessary.
But finding a good molecule is only the first step. A successful drug must be safe and effective for patients. It must also bypass the body's natural defenses. The body fights anything foreign that enters it. This makes it hard for medicines to reach their intended target. Many drugs that look promising in early tests fail at this later stage.
Scientists are working hard to improve AI tools. They want to predict which drugs will succeed before testing begins. The goal is faster and cheaper medicine development. AI offers new hope for treating many diseases. But significant challenges remain. The work continues every day.
Sources: phys.org
The words in bold are from the article.
| 1. development | a. options |
| 2. candidates | b. get around |
| 3. analyze | c. creation |
| 4. promising | d. difficulties |
| 5. effective | e. hopeful |
| 6. bypass | f. successful |
| 7. defenses | g. examine |
| 8. target | h. protections |
| 9. predict | i. forecast |
| 10. challenges | j. goal |
1.c 2.a 3.g 4.e 5.f 6.b 7.h 8.j 9.i 10.d