J INTS BIO hosted a significant MOU signing ceremony at Baekyangnuri Plaza, Yonsei University, unveiling a groundbreaking AI-driven collaboration to revolutionize cancer treatment. This ambitious alliance unites leading institutions, including Yonsei University College of Medicine's DAAN Cancer Research Institute, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Korea Research Institute of Chemical Technology (KRICT), and KAIST.

。这一雄心勃勃的联盟将包括延世大学医学院大安癌症研究所，大邱庆北科学技术研究所（DGIST），韩国化学技术研究所（KRICT）和KAIST在内的领先机构联合起来。

The event featured a distinguished lineup, with Yuhan Corporation CEO Wook Je Cho, National Assembly Representative Seong Hoon Park, and KAIST's Professor Joung Ho Kim, a prominent member of the National AI Committee, highlighting the extensive support from both government and industry sectors.Precision Medicine Redefined: AI Meets Multi-OmicsJ INTS BIO is at the forefront of developing personalized lung cancer therapies through the integration of artificial intelligence and multi-omics technology.

此次活动的特色是杰出的阵容，Yuhan Corporation首席执行官Wook Je Cho，国民议会代表Seong Hoon Park，以及KAIST教授Joung Ho Kim，国家人工智能委员会的杰出成员，突出了政府和行业部门的广泛支持。精准医学重新定义：AI与多组学的结合INTS BIO通过人工智能和多组学技术的整合，处于开发个性化肺癌治疗的前沿。

Multi-omics offers a comprehensive approach to disease biology by combining genomics, transcriptomics, metabolomics, and proteomics. Using AI and national supercomputing infrastructure, the project aims to enhance drug efficacy prediction and minimize toxicity, addressing the critical challenges that plague conventional oncology drug development.Professor Byoung Chul Cho of Severance Hospital, a key figure behind the development of the highly successful lung cancer drug 'Leclaza,' emphasized, 'AI is revolutionizing precision medicine.

多组学通过结合基因组学，转录组学，代谢组学和蛋白质组学，为疾病生物学提供了全面的方法。该项目利用人工智能和国家超级计算基础设施，旨在增强药物疗效预测并最大限度地减少毒性，解决困扰常规肿瘤药物开发的关键挑战。Severance Hospital的Byoung Chul Cho教授是开发非常成功的肺癌药物“Leclaza”的关键人物，他强调说，“人工智能正在彻底改变精准医学。

By employing AI and supercomputing, we can achieve ultra-precise analysis of patient tissue and genetic profiles, enabling the design of highly effective, personalized treatment strategies.' KAIST's Professor Joung Ho Kim added, 'AI's capacity to process immense biological datasets and apply machine learning .

通过使用人工智能和超级计算，我们可以实现对患者组织和遗传图谱的超精确分析，从而能够设计高效，个性化的治疗策略。”KAIST教授Joung Ho Kim补充道，“人工智能处理巨大生物数据集和应用机器学习的能力。