MediMusic: using AI for music therapy in care homes

MediMusic和世界领先的安格利拉斯金大学剑桥音乐治疗研究所合作开发了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是一个端到端的平台，科学地将音乐作为药物分发：为音乐创建生理和心理健康的指纹，使用机器学习自动创建个性化的指纹播放列表，通过定制的MediBeats播放器和创新的生物反馈优化简化参与，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目前仅适用于西方音乐。这一创造性的催化剂将开发迫切需要的能力，以扩大该平台，以改善少数民族患者获得治疗的机会，最初针对印度和巴基斯坦社区，重点是NHS内的痴呆症和住院护理。技术需要是识别非常不同的音乐特征，并重新定义用于治疗传递印度和巴基斯坦音乐的音频指纹。

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.