Parkinson’s disease (PD) presents diverse symptoms and comorbidities, complicating its diagnosis and management. The primary objective of this cross-sectional, monocentric study was to assess digital gait sensor data’s utility for monitoring and diagnosis of…
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The following is a guest article by Pukar Hamal, Founder and CEO at SecurityPal
While Electronic Health Records (EHRs) have made managing data easier, they’ve also become a prime target for cybercriminals. The healthcare industry,…
Background: SMS text messages through mobile phones are a common means of interpersonal communication. SMS text message surveys are gaining traction in health care and research due to their feasibility and patient acceptability. However,…
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Loren Larsen, CEO and co-founder of Videra Health
The causes and effects of America’s mental health crisis are well-documented. Easing access to necessary clinical help has not grown in tandem.
A study by the National Council for…
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Background: Controlling saturated fat and cholesterol intake is crucial for preventing cardiovascular diseases (CVDs). Objective: The present study aimed to assess the accuracy of mobile nutrition applications (apps) in tracking these nutrients, with a…
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The Remote Assessment of Disease and Relapse – Alzheimer’s Disease (RADAR-AD) consortium evaluated remote measurement technologies (RMTs) for assessing functional status in AD. The consortium engaged with the European Medicines Agency (EMA) to obtain…
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An AI algorithm can identify those at highest risk of conditions leading to heart-related death, according to research funded by the British Heart Foundation (BHF).
The study, presented at the European Society of Cardiology Congress…
Background: The COVID-19 pandemic prompted various containment strategies, such as work-from-home policies and reduced social contact, which significantly altered people’s sleep routines. While previous studies have highlighted the negative impacts of these restrictions on…
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Background: The relationships between alcohol marketing exposure, alcohol use, and purchase have been widely studied. However, prospective studies examining the causal relationships in real-world settings using mobile health tools are limited. Objective: We used…
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Deep learning for computer vision can be leveraged for interpreting surgical scenes and providing surgeons with real-time guidance to avoid complications. However, neither generalizability nor scalability of computer-vision-based surgical guidance systems have been demonstrated,…
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