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Gates released the annual outlook: AI-driven innovation, accelerating the development of anti-cancer drugs, personalized tutoring students, etc.

2024-05-30 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > IT Information >


Shulou( Report--, December 21 (Xinhua) former Microsoft CEO Bill Gates (Bill Gates) released his annual outlook, saying that the road ahead will reach a turning point in 2024.

In his outlook, Gates focuses on artificial intelligence, thinking that it will innovate and open up a new era and solve many major problems in the world.

Gates believes that artificial intelligence can accelerate the creation of new drugs. Drug discovery requires combing through vast amounts of data, and artificial intelligence tools can greatly speed up the process. Some companies are already developing anti-cancer drugs in this way.

A key priority of the Gates Foundation in the area of artificial intelligence is to ensure that these tools also address health problems that seriously affect the world's poorest people, such as AIDS, tuberculosis and malaria.

Gates also mentioned several key points in the article, and the attached list of is as follows:

Can artificial intelligence fight against antibiotic resistance? Antibiotics have a magical effect on ending infection, but if used too often, pathogens will learn how to ignore them. This is called antimicrobial resistance (AMR).

This is a huge problem all over the world, especially in Africa, which has the highest AMR mortality rate. Nana Kofi Quakyi of the Aurum Institute in Ghana is developing an artificial intelligence-driven tool to help health workers avoid causing AMR when prescribing antibiotics.

The tool will comb through all available information-including local clinical guidelines and health surveillance data-to understand which pathogens are currently at risk of developing drug resistance in the region-and make recommendations on the best drugs, doses and courses of treatment.

Can artificial intelligence provide personalized tutoring for each student? The artificial intelligence education tools currently being piloted are refreshing because they are tailored for each learner.

Some of these tools, such as Khanmigo and MATHia, are already excellent and will only get better in the next few years.

What excites me most about this kind of technology is that it is possible to localize it no matter where students live.

For example, a team in Nairobi is developing Somanasi, an artificial intelligence-based mentor that is consistent with the Kenyan curriculum.

The name means "study together" in Swahili, and the tutor's design takes into account the cultural background, so the students who use it feel familiar.

Can artificial intelligence help treat high-risk pregnancy? A woman dies in childbirth every two minutes. This is a terrible statistic, but I hope artificial intelligence will help. Last year, I wrote about how artificial intelligence-driven ultrasound can help identify pregnancy risks.

This year, I am very happy to meet ARMMAN researchers who hope to use artificial intelligence to improve the success rate of new mothers in India.

Their large language models will one day become artificial intelligence assistants for health care workers to treat high-risk pregnancies.

It can be used in English and Telugu, and the coolest thing is that it automatically adjusts according to the level of experience of the person who uses it-whether you are a completely inexperienced nurse or a midwife with decades of experience.

Can artificial intelligence help people assess their risk of contracting HIV? For many people, it can be uncomfortable to talk to a doctor or nurse about their sexual history.

However, this information is important for assessing the risk of diseases such as AIDS and for prescribing preventive treatment.

A new chat robot in South Africa aims to make AIDS risk assessment easier. It is like an unbiased, non-judgmental consultant who can provide round-the-clock advice.

Sophie Pascoe and her team developed the chat robot with particular consideration for marginalized and vulnerable groups, who often face stigmatization and discrimination when seeking preventive treatment.

Their findings show that this innovative approach can help more women understand their own risks and take action to protect themselves.

Can artificial intelligence make it easier for every medical worker to access medical information? When treating critically ill patients, you need to quickly check their medical records to see if they are allergic to certain drugs or have a history of heart disease. In places like Pakistan, many people do not have any medical history, which is a big problem.

Mariam Maryam Mustafa's team is developing a voice-enabled mobile app that makes it easier for maternal health workers in Pakistan to create medical records.

The app asks for a series of information about the patient and then fills in standard medical records based on the answers. Providing more data for health workers is expected to improve pregnancy outcomes in Pakistan, which has the worst pregnancy outcomes in the world.

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