Have you followed the Go contest between Google AlphaGo and the world champion Ke Jie, or heard the news that the medical robot Watson travelled to China and issued a diagnosis and prescription for cancer patients in only ten seconds? What about the ability of artificial intelligence to outperform professional pathologists on recognising breast cancer? In recent years, with the rapid development of big data and artificial intelligence, and the encouragement from the Chinese government of the advances in the healthcare industry and medical artificial intelligence (AI), it is perhaps inevitable that digital medicine will become the new norm. Utilising AI technology, the government may save more budget in order to more effectively fund medical supplies for disease management and nursing services. Չ大⊝②ᑜ ܙ 㡗̜ ᐨತ㕕ℼᑚ㤘䢬㢋⮍ԯ㐫ⅰḳ֯ ᖾᇤ⻐ⅰ˗ᑘ֦ ݶ ᕅᑓ䢬ḳ㕕ಾᐨ Ꭽ㏝㐡⑆♟䢬ᑜᢪ㧙大ᐨᎭˍ̬͞ྡྷ ˗能⿼ⅰ ࠏ 㧋ധᕔᕤ⿼ǎḳНၒ ಾ⇀㠙ⅰ大ᐨᎭᇤ⻐ ݶ ⇀㠙ᅞ˷⾾ٛ ሱ䢺ᑜ㭗㐜㕵ᫎⅰ個လ٨् ♲Ǎ ㎠㙺♲ ݶ ⶑⅫ♲研䢬 ࡘ ♠⣜平়् ݶ ⻠় 研䢬̿ 㧙Ҁ༏⇀㠙࿅ḳ⟮ 研䢬ḳ㕕ಾ९Ӎ研⓺ǎ ݪ ☲⚕ᕲ㌨ⅰ⿈ྫྷ ݶ ≷ㄤ䢬ཅ⒢ύⅰ Ѧ〲 ݶ ᐨಾឹ় 䢬ഭᐨᎭ㐫⻋֯ ᖾ ݶ ⿼ 㕱䢬ᒴḳНၒಾ大ᐨᎭⅰᘽᕲ↷ ឱ⦾㐅ᥐǎ ᔧ⬷ᐑእ㬟ೡ⦨201 ཅ͞ Ϛ䢬 ˍ↽ന᧘ᑜ研㐛Շᑚ㤘ⅰՅ䢺ˍǍ ۽ ⑦ᆫ〲ҥഭ̿ 㭓ύ ػ ჵۜ ᐨ㐫 ⻋㐥❼↮ᫎ䢬㐫⡈ኼ〛⇀㠙⃓⃚ ⦾ύ ػ ჵ☲⚕ⅰ㠙Ё䢬ϟ☖⃚് Ǎ ⃚ܻݩ ݶ ࿖⦝⃚ 䢻̡ Ǎ㐜㐿㭗㐜㕵ᫎⅰ個လ ٨् ♲Ǎ㎠㙺♲ ݶ ⶑⅫ♲研䢬ኼ ☃ᬞ㕕ℼ⦾⇀㠙⃓⃚ ⅰ⇀㠙လǎ↷ נ 㐛̬ 研㓃ྲ ̜ 澳㟑᐀Ǎ澳㟑⏲ᇤ 㕷ᕐǍ澳㟑大ಾ ݶ Ҁ༏⏲ಾಾ㡕ⅰ大؛ Ᏻቆ䢬܋㦕↷̏ ॺቆ❼㐫⻋中ǎ Two Major Research Directions Aside from digital medicine, as novel and better techniques for biological analysis emerge, the quantity of medical data grows tremendously. Using big data, we can solve problems that were formerly unsolvable. Big data technologies and applications in bioinformatics include personal genome sequencing using high- throughput sequencing, transcriptomic and proteomic research, genotypic and phenotypic studies at single-cell level, metagenomics in human health, and medical image processing. Deriving hypotheses and mathematical models from the knowledge and observed patterns of biological systems to analyse and interpret data is the fundamental initiative and goal of using big data in bioinformatics. Established in 2016, Prof Douglas Zhang’s laboratory at the University of Macau (UM) focuses on two areas: 1) Continuous monitoring of human physiological signals with wearable devices, which in turn provides data for studying the relationship between physiological dynamics and diseases such as diabetes, respiratory and cardiac disorders; and 2) Genomic, transcriptomic and proteomic studies using high- throughput sequencing, from which the correlation between precision medicine and related diseases can be investigated. This research has been actively supported by the government of Macao, the Science and Technology Development Fund (FDCT), UM, and the Faculty of Health Sciences (FHS). ಾ⻐研 • ACADEMIC RESEARCH 澳大ᑓゆ • 2019 UMAGAZINE 20 63
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