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首页> 外文期刊>Transfusion and apheresis science: official journal of the World Apheresis Association : official journal of the European Society for Haemapheresis >Artificial intelligence: A joint narrative on potential use in pediatric stem and immune cell therapies and regenerative medicine
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Artificial intelligence: A joint narrative on potential use in pediatric stem and immune cell therapies and regenerative medicine

机译：人工智能：儿科茎和免疫细胞疗法潜在用途的联合叙事及再生医学

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Artificial Intelligence (AI) reflects the intelligence exhibited by machines and software. It is a highly desirable academic field of many current fields of studies. Leading AI researchers describe the field as “the study and design of intelligent agents”. McCarthy invented this term in 1955 and defined it as “the science and engineering of making intelligent machines”. The central goals of AI research are reasoning, knowledge, planning, learning, natural language processing (communication), perception and the ability to move and manipulate objects. In fact the multidisplinary AI field is considered to be rather interdisciplinary covering numerous number of sciences and professions, including computer science, psychology, linguistics, philosophy and neurosciences. The field was founded on the claim that a central intellectual property of humans, intelligence-the sapience of Homo Sapiens “can be so precisely described that a machine can be made to simulate it”. This raises philosophical issues about the nature of the mind and the ethics of creating artificial beings endowed with human-like intelligence. Artificial Intelligence has been the subject of tremendous optimism but has also suffered stunning setbacks.The goal of this narrative is to review the potential use of AI approaches and their integration into pediatric cellular therapies and regenerative medicine. Emphasis is placed on recognition and application of AI techniques in the development of predictive models for personalized treatments with engineered stem cells, immune cells and regenerated tissues in adults and children. These intelligent machines could dissect the whole genome and isolate the immune particularities of individual patient’s disease in a matter of minutes and create the treatment that is customized to patient’s genetic specificity and immune system capability. AI techniques could be used for optimization of clinical trials of innovative stem cell and gene therapies in pediatric patients by precise planning of treatments, predicting clinical outcomes, simplifying recruitment and retention of patients, learning from input data and applying to new data, thus lowering their complexity and costs. Complementing human intelligence with machine intelligence could have an exponentially high impact on continual progress in many fields of pediatrics. However how long before we could see the real impact still remains the big question. The most pertinent question that remains to be answered therefore, is can AI effectively and accurately predict properties of newer DDR strategies?The goal of this article is to review the use of AI method for cellular therapy and regenerative medicine and emphasize its potential to further the progress in these fields of medicine.
机译：人工智能（AI）反映了机器和软件展示的智能。这是一个非常理想的学术领域，许多目前的研究领域。领先的AI研究人员将该领域描述为“智能代理人的研究和设计”。麦卡锡于1955年发明了这个术语，并将其定义为“制造智能机器的科学和工程”。 AI研究的核心目标是推理，知识，规划，学习，自然语言处理（通信），感知和移动和操纵物体的能力。事实上，多相游AI场被认为是相当跨学科的涵盖许多科学和职业，包括计算机科学，心理学，语言学，哲学和神经科学。该领域成立于索赔，智力 - 智力的中央知识产权，智能赛的智慧“可以如此精确地描述了一种机器来模拟它”。这提高了关于思想性质的哲学问题和创造人造赋予人类智力的人为的道德。人工智能一直是巨大乐观的主题，但也遭受了令人惊叹的挫折。这一叙述的目标是审查AI方法的潜在利用及其融入小儿细胞疗法和再生医学。重点是对具有工程干细胞，免疫细胞和成人儿童再生组织的个性化治疗的识别和应用AI技术的识别和应用。这些智能机器可以在几分钟内解剖全基因组并在几分钟内分离单个患者疾病的免疫特征，并创造定为患者遗传特异性和免疫系统能力的治疗方法。通过精确规划治疗，可用于优化小儿患者的创新干细胞和基因治疗的临床试验，预测临床结果，简化患者的招生和保留，从输入数据学习并申请新数据，从而降低他们的新数据复杂性和成本。与机器智能的人类智能补充可以对许多儿科领域的持续进步产生指数高影响。然而，在我们看到真正的影响之前多久仍然是一个大问题。因此，仍有待解答的最相关的问题是AI可以有效准确地预测较新的DDR策略的特性吗？本文的目标是审查AI方法对细胞治疗和再生医学的使用，并强调其潜力进一步这些医学领域的进展。

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