With less than a week before the first webinar of 'Gateway to Translation' webinar series, on 14th March from 2-3pm (via Zoom), we invite you to sign-up to this event. The webinar will be hosted by Translation Manchester, with guest speaker Anthony D. Bashall, Managing Director at Zenzium Ltd, and chaired by Dr Gareth Kitchen (NIHR Academic Clinical Senior Lecturer and consultant Anaesthetist, The University of Manchester). Anthony will be giving a talk on the topic of 'High Definition Healthcare Observations - A Paradigm Shift Continuous Monitoring - Wearables - AI/ML'.
'Gateway to Translation G2T' is a new series of webinars developed by Translation Manchester together in collaboration with our colleagues at the Cambridge Academy of Therapeutic Sciences, which will be run jointly on a monthly basis. The aim of these webinars is to educate academics about trends, technologies and research in the commercial sphere and help to stimulate translation of basic research into the clinics by facilitating collaborations between academia and the medtech, biotech and pharma industry sectors.
The format was established by the Cambridge Academy of Therapeutic Sciences (CATS) and has been running since 2020. Recordings from previous webinars are available on their website.
About Zenzium
Zenzium Ltd is a health and biomedical data science company focused on applying artificial intelligence/machine learning to continuous time-series data in the wellness & healthcare space. Data is obtained from either consumable wearable devices and/or medical devices in a longitudinal manner in both facilities and remotely. Efforts are focused on various conditions and diseases with an aim to improve outcomes by predicting the timing of various interventions.
Zenzium’s approach is applicable to Cardiovascular Disease (CVD), diabetes, arthritis, stroke, inflammatory or metabolic conditions as well as elective surgery. Current efforts are also ongoing in stress, pain, fatigue and prehabilitation.
Additional Info - Zenzium’s Technology
Zenzium has developed an Artificial Intelligence (AI) approach, more specifically a deep learning technology, to identify and predict event onset from physiological and other data. They apply deep learning to multivariate time-series (longitudinal) data that is also aggregated with episodic data as well as diagnostics and Electronic Medical Records (EMRs) information plus proteomic, genomic, epigenetic and metabolomic data.
They maintain active collaborations and partnerships with leading entities worldwide in the medical sciences, biomedical fields, artificial intelligence, machine learning and high-performance computing communities.
Please register your attendance here:
https://www.tickettailor.com/events/translationmanchester/1159818
