Lauren Gardner ganha prêmio Merck para avançar no rastreamento de pandemia com inteligência artificial
Professora de engenharia da Johns Hopkins recebe o Prêmio Future Insight por contribuições inovadoras no rastreamento da pandemia de COVID-19, levando ao desenvolvimento de sistemas de IA capazes de detectar e rastrear futuras pandemias
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)
Lauren Gardner - imagem: Lauren Gardner
Lauren Gardner , professora da Universidade Johns Hopkins que foi pioneira no rastreamento de doenças infecciosas durante a pandemia de COVID-19, ganhou o Prêmio Future Insight da Merck , conglomerado global de ciências biológicas com sede na Alemanha.
A Merck concedeu hoje o prêmio de € 500.000 (aproximadamente US$ 541.160) a Gardner por suas contribuições ao desenvolvimento de sistemas de inteligência artificial capazes de descobrir e rastrear futuras pandemias.
"Receber o Future Insight Prize dará mais suporte à nossa missão na Johns Hopkins de refinar a modelagem preditiva e aprimorar as ferramentas de tomada de decisão que são cruciais para gerenciar efetivamente emergências de saúde pública", disse Gardner na Curious2024—Future Insight Conference . "Este reconhecimento alimenta nosso compromisso de desenvolver novas soluções habilitadas para IA para antecipar e mitigar ameaças futuras de qualquer vírus conhecido ou outra fonte biológica."
Gardner esteve na vanguarda da modelagem epidemiológica bem antes do surgimento da pandemia da COVID-19 em dezembro de 2019. No início daquele ano, ela criou um mapa preditivo que determinou os 25 condados dos EUA onde os surtos de sarampo eram mais prováveis de ocorrer devido a múltiplas variáveis. Ela também desenvolveu modelos preditivos para Zika, Dengue, MERS-CoV, entre outras doenças infecciosas. Em janeiro de 2020, como a COVID-19 ainda estava principalmente contida na Ásia, Gardner e sua equipe no Departamento de Engenharia Civil e de Sistemas criaram o painel COVID-19 baseado na web da Johns Hopkins , um recurso global essencial que lhe rendeu o Lasker-Bloomberg Public Service Award, o maior prêmio de pesquisa biomédica dos Estados Unidos.
"O trabalho exemplar da Dra. Gardner e sua equipe da Johns Hopkins fez uma contribuição significativa para a saúde pública durante a pandemia da COVID-19", disse a CEO da Merck, Belén Garijo. "Com o Future Insight Prize, esperamos que ela possa acelerar os esforços contínuos para criar um mundo mais bem preparado para prever e prevenir futuras pandemias."
Os projetos atuais de Gardner incluem o aprimoramento de ferramentas epidemiológicas para detecção precoce de surtos, a criação de um repositório centralizado de dados abertos e o avanço da integração de políticas de saúde pública por meio de esforços de treinamento e capacitação. Seu trabalho visa definir novos padrões no uso de IA para saúde pública e promover respostas globais robustas a doenças infecciosas emergentes.