Standing the test of COVID-19: charting the new frontiers of medicine

Simon Cauchemez, Giulio Cossu, Nathalie Delzenne, Eran Elinav, Didier Fassin, Alain Fischer, Thomas Hartung, Dipak Kalra, Mihai Netea, Johan Neyts, Rino Rappuoli, Mariagrazia Pizza, Melanie Saville, Pamela Tenaerts, Gerry Wright, Philippe Sansonetti, Michel Goldman
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引用次数: 2

Abstract

The COVID-19 pandemic accelerated research and innovation across numerous fields of medicine. It emphasized how disease concepts must reflect dynamic and heterogeneous interrelationships between physical characteristics, genetics, co-morbidities, environmental exposures, and socioeconomic determinants of health throughout life. This article explores how scientists and other stakeholders must collaborate in novel, interdisciplinary ways at these new frontiers of medicine, focusing on communicable diseases, precision/personalized medicine, systems medicine, and data science. The pandemic highlighted the critical protective role of vaccines against current and emerging threats. Radical efficiency gains in vaccine development (through mRNA technologies, public and private investment, and regulatory measures) must be leveraged in the future together with continued innovation in the area of monoclonal antibodies, novel antimicrobials, and multisectoral, international action against communicable diseases. Inter-individual heterogeneity in the pathophysiology of COVID-19 prompted the development of targeted therapeutics. Beyond COVID-19, medicine will become increasingly personalized via advanced omics-based technologies and systems biology—for example targeting the role of the gut microbiome and specific mechanisms underlying immunoinflammatory diseases and genetic conditions. Modeling proved critical to strengthening risk assessment and supporting COVID-19 decision-making. Advanced computational analytics and artificial intelligence (AI) may help integrate epidemic modeling, clinical features, genomics, immune factors, microbiome data, and other anthropometric measures into a “systems medicine” approach. The pandemic also accelerated digital medicine, giving telehealth and digital therapeutics critical roles in health system resilience and patient care. New research methods employed during COVID-19, including decentralized trials, could benefit evidence generation and decision-making more widely. In conclusion, the future of medicine will be shaped by interdisciplinary multistakeholder collaborations that address complex molecular, clinical, and social interrelationships, fostering precision medicine while improving public health. Open science, innovative partnerships, and patient-centricity will be key to success.
经受住 COVID-19 的考验:开拓医学新领域
COVID-19 大流行加速了众多医学领域的研究和创新。它强调了疾病概念必须如何反映身体特征、遗传学、并发症、环境暴露和社会经济决定因素之间的动态和异质性相互关系。本文探讨了在这些医学新前沿领域,科学家和其他利益相关者必须如何以新颖的跨学科方式开展合作,重点关注传染病、精准医学/个性化医学、系统医学和数据科学。这次大流行凸显了疫苗在应对当前和新出现的威胁时所发挥的关键保护作用。未来,疫苗开发的效率必须大幅提高(通过 mRNA 技术、公共和私人投资以及监管措施),同时还必须在单克隆抗体、新型抗菌药物以及针对传染病的多部门国际行动等领域持续创新。COVID-19 的病理生理学存在个体间异质性,这促使人们开发靶向治疗药物。除了 COVID-19 之外,通过先进的基于 omics 的技术和系统生物学,医学将变得越来越个性化--例如针对肠道微生物组的作用以及免疫炎症性疾病和遗传病的特殊机制。事实证明,建模对于加强风险评估和支持 COVID-19 决策至关重要。先进的计算分析和人工智能(AI)可帮助将流行病建模、临床特征、基因组学、免疫因素、微生物组数据和其他人体测量数据整合到 "系统医学 "方法中。疫情还加速了数字医学的发展,使远程医疗和数字疗法在医疗系统恢复和患者护理中发挥了关键作用。COVID-19 期间采用的新研究方法,包括分散式试验,可使证据生成和决策更广泛地受益。总之,医学的未来将由跨学科、多方利益相关者的合作来塑造,这种合作能解决复杂的分子、临床和社会相互关系,在改善公共卫生的同时促进精准医学的发展。开放科学、创新合作和以患者为中心将是成功的关键。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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