亞太生物雜志BioSpectrum | 2025醫(yī)療健康三大趨勢(shì)展望
2024-12-04
BioSpectrum Asia Edition刊登華大基因CEO趙立見(jiàn)署名文章
12月3日，亞太生物科技雜志BioSpectrum Asia Edition刊發(fā)年終封面專題“2025 Trends"，其中華大基因CEO趙立見(jiàn)分享醫(yī)療健康領(lǐng)域的三大趨勢(shì)——人工智能（AI）在醫(yī)療中深度應(yīng)用前景、多組學(xué)數(shù)據(jù)驅(qū)動(dòng)疾病風(fēng)險(xiǎn)預(yù)測(cè)模型優(yōu)勢(shì)，醫(yī)療服務(wù)從被動(dòng)診療向主動(dòng)管理的轉(zhuǎn)型趨勢(shì)，為全球健康管理描繪了一幅創(chuàng)新圖景。（以下中文部分為署名文章英文對(duì)照翻譯，供讀者參考。點(diǎn)擊此處，查看報(bào)道原文。）
/作者：華大基因CEO 趙立見(jiàn) /
引言
隨著醫(yī)療行業(yè)的不斷發(fā)展，健康服務(wù)正從單純的疾病診斷與治療向更加主動(dòng)的健康管理轉(zhuǎn)型。
The future of healthcare is moving beyond treatment and diagnostics to proactive health management.
趨勢(shì)一：人工智能深度融入臨床實(shí)踐
AI's Future Integration into Clinical Practice
未來(lái)，人工智能將在醫(yī)療領(lǐng)域進(jìn)一步深化應(yīng)用，推動(dòng)疾病檢測(cè)和疾病管理的模式全面升級(jí)。基于多組學(xué)數(shù)據(jù)訓(xùn)練的前沿神經(jīng)網(wǎng)絡(luò)模型，將大幅提高疾病預(yù)測(cè)的精準(zhǔn)度和診斷效率。
In the coming years, AI will become seamlessly integrated into healthcare, transforming both disease detection and patient care. Advanced neural network models trained on multi-omics data will enhance our ability to predict diseases with unprecedented accuracy, making diagnostics faster and more reliable.
華大基因生成式生物智能范式GBI ALL 點(diǎn)擊此處了解更多
此外，隨著人機(jī)交互技術(shù)的廣泛應(yīng)用，遠(yuǎn)程醫(yī)療將進(jìn)入全新階段。大語(yǔ)言模型能夠?qū)崟r(shí)提供精準(zhǔn)的醫(yī)療建議，減輕醫(yī)務(wù)人員的工作負(fù)擔(dān)，并將患者的等待時(shí)間從數(shù)周縮短至幾分鐘。
The rise of human-machine interactions through telehealth will revolutionise medical consultations. Imagine a future where Large Language Models, like ChatGPT, provide instant, accurate medical advice, easing the burden on healthcare professionals and drastically reducing patient wait times from weeks to mere moments.
趨勢(shì)二：AI驅(qū)動(dòng)的多組學(xué)疾病風(fēng)險(xiǎn)預(yù)測(cè)
AI-Integrated Multi-omics-Based Disease Risk Prediction Models
人工智能正在加速推動(dòng)疾病風(fēng)險(xiǎn)預(yù)測(cè)技術(shù)的發(fā)展，為癌癥和心血管疾病等重大疾病的早期預(yù)防提供了全新思路。
AI-powered models are increasingly being used for the early prediction and prevention of major diseases, such as malignant tumours and severe cardiovascular conditions.
BGI SIRO-16靈曦AI+一站式整體解決方案 點(diǎn)擊此處了解更多
通過(guò)整合基因組學(xué)、蛋白組學(xué)、表觀遺傳學(xué)等多組學(xué)數(shù)據(jù)，這些模型通過(guò)數(shù)字化形式，精準(zhǔn)模擬疾病發(fā)展路徑和不同干預(yù)措施的效果。借助機(jī)器學(xué)習(xí)（Machine Learning），臨床專家可以為患者量身定制個(gè)性化治療方案，在提高治療效果的同時(shí)，最大限度地減少不必要的副作用并減輕患者的痛苦。
By integrating multi-omics data, spanning across genomics, proteomics, transcriptomics, epigenomics, metabolomics, and microbiomes, these models recreate digital representations of biological processes. This digitalisation allows for the simulation of disease progression and the effects of various interventions, using machine learning to tailor personalised treatment solutions. This approach gives clinicians critical insights for selecting the most effective treatment strategies while minimising unnecessary side effects and reducing patient suffering.
趨勢(shì)三
主動(dòng)健康管理模式的構(gòu)建
Proactive Health Monitoring model
面向未來(lái)，醫(yī)療行業(yè)正在從傳統(tǒng)的治療與診斷，邁向以主動(dòng)健康管理為核心的全新階段。我們致力于通過(guò)整合影像數(shù)據(jù)、多組學(xué)檢測(cè)結(jié)果以及個(gè)體生活方式信息，構(gòu)建一套以“生命指數(shù)”為核心的健康評(píng)估體系。
The future of healthcare is moving beyond treatment and diagnostics to proactive health management. Our vision involves creating a comprehensive health model for continuous individual monitoring, integrating imaging data, multi-omics diagnostics, and lifestyle information to establish a 'life index'.
華大基因智能化疾病防控系統(tǒng)“13311i”模型 點(diǎn)擊此處了解更多
華大基因研發(fā)的主動(dòng)健康管理系統(tǒng)，通過(guò)全面整合多維數(shù)據(jù)，精準(zhǔn)評(píng)估個(gè)體健康風(fēng)險(xiǎn)，為疾病預(yù)防和個(gè)性化健康管理提供科學(xué)依據(jù)，幫助公眾更積極、高效地掌控自身健康。
BGI Genomics has developed such a proactive health system model, which represents a groundbreaking approach to disease prevention and personalised health management. This holistic index provides a detailed view of an individual's health risks and outcomes, empowering proactive and informed health management.
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