National Institute of Neurological Disorders and Stroke, National Institutes of Health, Rockville, MD, 20852, USA.
Directorate for Engineering, National Science Foundation, 2415 Eisenhower Avenue, Alexandria, VA, 22314, USA.
J Neuroeng Rehabil. 2024 Feb 3;21(1):17. doi: 10.1186/s12984-024-01308-x.
In recognition of the importance and timeliness of computational models for accelerating progress in neurorehabilitation, the U.S. National Science Foundation (NSF) and the National Institutes of Health (NIH) sponsored a conference in March 2023 at the University of Southern California that drew global participation from engineers, scientists, clinicians, and trainees. This commentary highlights promising applications of computational models to understand neurorehabilitation ("Using computational models to understand complex mechanisms in neurorehabilitation" section), improve rehabilitation care in the context of digital twin frameworks ("Using computational models to improve delivery and implementation of rehabilitation care" section), and empower future interdisciplinary workforces to deliver higher-quality clinical care using computational models ("Using computational models in neurorehabilitation requires an interdisciplinary workforce" section). The authors describe near-term gaps and opportunities, all of which encourage interdisciplinary team science. Four major opportunities were identified including (1) deciphering the relationship between engineering figures of merit-a term commonly used by engineers to objectively quantify the performance of a device, system, method, or material relative to existing state of the art-and clinical outcome measures, (2) validating computational models from engineering and patient perspectives, (3) creating and curating datasets that are made publicly accessible, and (4) developing new transdisciplinary frameworks, theories, and models that incorporate the complexities of the nervous and musculoskeletal systems. This commentary summarizes U.S. funding opportunities by two Federal agencies that support computational research in neurorehabilitation. The NSF has funding programs that support high-risk/high-reward research proposals on computational methods in neurorehabilitation informed by theory- and data-driven approaches. The NIH supports the development of new interventions and therapies for a wide range of nervous system injuries and impairments informed by the field of computational modeling. The conference materials can be found at https://dare2023.usc.edu/ .
认识到计算模型对于加速神经康复进展的重要性和及时性，美国国家科学基金会（NSF）和美国国立卫生研究院（NIH）于 2023 年 3 月在南加州大学主办了一次会议，吸引了来自全球的工程师、科学家、临床医生和学员参与。本评论强调了计算模型在理解神经康复方面的有前途的应用（“使用计算模型理解神经康复中的复杂机制”部分）、在数字孪生框架中改善康复护理（“使用计算模型改善康复护理的提供和实施”部分）以及赋予未来跨学科劳动力使用计算模型提供更高质量临床护理的能力（“使用计算模型进行神经康复需要跨学科的劳动力”部分）。作者描述了近期的差距和机会，所有这些都鼓励开展跨学科团队科学。确定了四个主要机会，包括（1） 解码工程性能指标（一个术语，通常由工程师用来客观地量化设备、系统、方法或材料相对于现有技术水平的性能）与临床结果测量之间的关系，（2） 从工程和患者角度验证计算模型，（3） 创建和管理可供公开访问的数据集，以及（4） 开发新的跨学科框架、理论和模型，纳入神经和肌肉骨骼系统的复杂性。本评论总结了美国两个联邦机构支持神经康复计算研究的资金机会。NSF 有资助计划，支持基于理论和数据驱动方法的神经康复计算方法的高风险/高回报研究提案。NIH 支持根据计算建模领域为广泛的神经系统损伤和障碍开发新的干预措施和疗法。会议材料可在 https://dare2023.usc.edu/ 找到。
