A look at the current challenges and opportunities in the UK – which are based on a survey of 1500 front line staff and interviews with 65 key stakeholders from across the health ecosystem.

CSEM has been the first actor of monitoring HR at wrist and has further optimized its wearable technology portfolio during the last 20 years towards other use cases, e.g. sleep staging, arrhythmia detection and blood pressure measurement. CSEM research on measuring blood pressure continuously and without cuff by optical means started in 2007 and its proprietary oBPM™ technology is now being commercialized by its commercial partners and start-ups (such as aktiia and Biospectal).

The outbreak of the novel coronavirus (COVID-19) has been rapidly spreading across Japan, causing fear and anxiety among its residents as well as foreign tourists. With experts preparing for a possible global pandemic, it is becoming ever more critical to forestall the further expansion of the disease by collecting and disseminating accurate information on the ongoing situation.
To comply with these urgent needs, the Tokyo-based high-tech company Bespoke has launched a new multilingual platform for its AI-powered chatbot “Bebot.” Freely available at http://bit.ly/coronavirus-bebot and officially distributed by governments, Bebot now provides residents and inbound tourists with the latest virus-related announcements that are often hardly accessible to non-Japanese speakers. In doing so, it also enables government officials to obtain more in-depth insights into potential victims without increasing the burden of hotline responders or medical professionals.
In this panel, Akemi Tsunagawa, Bespoke’s founder and CEO, will demonstrate how Bebot is transforming the way we communicate during emergencies. By sharing her professional experience developing an AI-powered platform for crisis management, she will initiate a discussion on the future role of digital communication tools in the advent of natural disasters and viral outbreaks.

AI and Machine learning (AI/ML) can may a significant impact on a business effectively. This talk describes some of the practical uses of AI and specifically machine learning in the wearable market along with some of the issues around its adoption in the health industry.

The convergence of health care and technology has categorically transformed the diagnosis and management of chronic conditions. This power panel will discuss the industry’s biggest drivers of disruptive technology and how it’s redefining our approach to health, wellness and human performance

Virtual hospitals, remote caregiving, self-monitoring, machine learning — which technologies are radically redefining the physician-patient relationship?

Utilization of new technology disrupts the paradigm of many ecosystems and is often resisted in Healthcare. However, when a natural evolution of technology is incorporated into an existing organization, the innovations outpace the disruptive effects while encouraging widespread acclimation. Digital Continuous Care incorporates modern wearable medical technologies and enables reliable patient continuous supervision as a natural evolution of medical monitoring. The combination of AI’s predictive power with the convenience of comfortable wearable medical devices can be fine-tuned with existing healthcare ecosystems. Harnessing Digital Continuous Care will improve patient life style, quality of care, while reducing risk and overall costs.