📄 中文摘要
César de la Fuente在青少年时期就意识到抗微生物耐药性是全球面临的重大问题之一,并将其列为政府投入资金解决的最大问题。经过20年的努力,这一问题依然存在,且愈发严重。为了应对这一挑战,de la Fuente利用人工智能技术进行抗生素的研发,探索各种可能的来源,以期找到新的有效抗生素,帮助解决抗微生物耐药性带来的危机。通过结合计算机科学与生物学,他的研究旨在推动新药物的发现,提升公共健康水平。
📄 English Summary
The scientist using AI to hunt for antibiotics just about everywhere
César de la Fuente recognized antimicrobial resistance as one of the world's major problems during his teenage years, ranking it as the most underfunded issue by governments. Two decades later, this challenge remains unresolved and increasingly severe. To tackle this problem, de la Fuente employs artificial intelligence technologies in the search for antibiotics, exploring various potential sources to discover new effective antibiotics that can help address the crisis of antimicrobial resistance. By integrating computer science with biology, his research aims to advance drug discovery and improve public health outcomes.
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数据源: OpenAI, Google AI, DeepMind, AWS ML Blog, HuggingFace 等