The Critical Link Between RBD and Neurodegenerative Disease
REM sleep behavior disorder (RBD) affects over one million Americans, causing abnormal movements, twitching, and dream enactment episodes during sleep. What makes this condition particularly significant is…
Background: Smoking cessation applications (Apps) are increasingly being used to assist smokers in quitting. In China, whether behavioral science has been incorporated into smoking cessation Apps remains unknown. Objective: The current study aims to…
Continue Reading
Background: Consumer-grade wearables allow researchers to capture a representative picture of human behavior in the real world over extended periods. However, maintaining users’ engagement remains a challenge and can lead to a decrease in…
Continue Reading
Brain.space, the maker of an EEG helmet, announced an $11 million Series A Funding round led by Toyota Ventures, with participation by Mangrove Capital Partners and The Group Ventures. The company also received a $3.5…
Continue Reading
[embedded content]
What You Should Know:
– brain.space, the innovator behind the first-ever Brain-Data-as-a-Service Ecosystem for Generative AI Mental Modeling secures $11M in Series A funding round led by Toyota Ventures.
– The round also included with…
Continue Reading
REM sleep behavior disorder, or RBD, is a condition that causes abnormal movements or brief repeated twitching during sleep, and occasional episodes of dream enactment.THE CHALLENGE
RBD affects more than one million Americans and is…
Motivity, a clinical SaaS platform for applied behavior analysis (ABA) providers, secured $27 million from Five Elms Capital. WHAT IT DOES
Motivity provides clinical software for behavioral health providers who treat children with autism. It offers…
What You Should Know:
– Motivity, a provider of clinical SaaS solutions for Applied Behavior Analysis (ABA) providers serving children with autism secures a $27M investment from Five Elms Capital, a prominent software investment firm.
–…
Continue Reading
Red teaming, the practice of adversarially exposing unexpected or undesired model behaviors, is critical towards improving equity and accuracy of large language models, but non-model creator-affiliated red teaming is scant in healthcare. We convened…
Continue Reading
The use of Large Language Models (LLMs) in mental health highlights the need to understand their responses to emotional content. Previous research shows that emotion-inducing prompts can elevate “anxiety” in LLMs, affecting behavior and…
Continue Reading
