MediMusic: using AI for music therapy in care homes

MediMusic和世界领先的安格利亚鲁斯金大学剑桥音乐治疗研究所正在合作开发一个机器学习驱动的音乐治疗平台，用于治疗临床疼痛、焦虑、认知障碍和痴呆。MediMusic是一个端到端平台，科学地将音乐作为药物分发：为音乐创建生理和心理健康指纹，使用机器学习自动创建个性化指纹播放列表，通过定制的MediBeats播放器和创新的生物反馈改进简化参与，并为健康和社会护理专业人员提供有意义的，节省成本的kpi。MediMusic目前只支持西方音乐。这一创新催化剂将开发急需的能力，以扩大平台，改善少数民族患者获得治疗的机会，最初以印度和巴基斯坦社区为目标，重点关注国民保健制度和住院护理中的痴呆症。技术需求是识别非常不同的音乐特征，并重新定义音频指纹，以治疗印度和巴基斯坦音乐的传递。

MediMusic and the world-leading Cambridge Institute for Music Therapy Research at Anglia Ruskin University are working together to develop a machine learning-driven platform for music therapy for clinical pain, anxiety, cognitive impairments, and dementia.MediMusic is an end-to-end platform that scientifically dispenses music as medicine: creating physiological and psychological health fingerprints for music, auto-creating personalised fingerprinted playlists using machine learning, simplifying engagement via a bespoke MediBeats player and innovative bio-feedback refinement, and providing health and social care professionals with meaningful, cost-saving KPIs.MediMusic currently only works with Western music. This Creative Catalyst will develop the urgently needed capability to expand the platform to improve access to treatment for ethnic minority patients, initially targeting Indian and Pakistani communities, focusing on dementia within NHS and residential care.The technical need is to identify the very different musical features and redefine the audio-fingerprinting for therapeutic delivery of Indian and Pakistani music.