China on Tuesday called on the international community to step up support for the Central African Republic (CAR) to help the country address security challenges.
The United Nations Security Council held an open briefing on the situation in the Central African Republic on Tuesday.
At the meeting, Valentine Rugwabiza, special representative of the UN secretary-general for the Central African Republic and head of the United Nations Multidimensional Integrated Stabilization Mission in the Central African Republic (MINUSCA), briefed the council members on the improved security situation in some parts of the African country, while noting that tensions remain high in southeast and northeast areas due to the spillover effect of conflicts in Sudan.
She also said the MINUSCA is currently facing a fund shortage and a 15-percent budget cut.
Speaking at the briefing, Sun Lei, China's deputy permanent representative to the United Nations, said the CAR is making political progresses in recent years, with its economic situation steadily improved, but the county still faces security challenges.
Sun called on the international community to continue supporting the CAR in preparing for elections, addressing security challenges and enhancing its sustainable development capacities.
China hopes that the international community will increase aid and investment to help the CAR to transform its resource advantages into development momentum and embark on a development path suited to its own national conditions, Sun added.
China urges enhanced int'l support for Central African Republic to address security challenges
China urges enhanced int'l support for Central African Republic to address security challenges
An artificial intelligence (AI) foundation model specialized for analyzing human genetic diversity was launched at Shanghai's cutting-edge Model Speed Space innovation hub on Tuesday.
Named SNPBAG, it is the world's first large model built specifically for genomic analysis, promising to precisely predict diseases and advance personalized health care.
The model focuses on single nucleotide polymorphisms (SNPs), the most common type of genetic variation among people, which influence traits such as height, intelligence and personality.
Currently, SNPBAG can be used for ancestry tracing and kinship identification. In the future, with further training, it is expected to predict disease risks at various life stages based on DNA sequences, offering higher screening accuracy than existing genetic testing methods.
"As far as we know, traditional methods examine SNPs point by point for correlations with traits like height or intelligence, without taking into account, for example, interactions between or among genes. Therefore, we need a model that can autonomously identify these complex relationships. Now, we've found such a tool that can bring close two gene expressions [of the human body] that are far away from each other and provide biological interpretations," said Tang Kun, an expert of computational biology and founder of Shanghai Feipu Intelligent Technology Co., Ltd.
Looking ahead, the model will support the development of China's sovereign genomic database, promote its domestic self-reliance, enhance AI-driven drug discovery and improve the target screening success rates by over 200 percent. It also aims to make precision health care more accessible.
"The most well-known application is non-invasive prenatal screening. Currently, only a few conditions are covered by national insurance, but there are over 20,000 rare diseases in children. We are now collaborating with Shanghai Children’s Hospital to expand screening coverage," said Lu Sitong, CEO of Shanghai Feipu Intelligent Technology.
With SNPBAG, non-invasive prenatal screening is expected to detect a broader range of rare diseases in the future. The company said it also plans to launch consumer-facing products to benefit the general public.
China launches world's first foundation model for genomic analysis
