Early detection of dementia
Help to pursue a dream to aid people with memory loss via new technology
Project Description
Brief intro: NeuroHarb novelty is based on AI-powered technology to trace and capture various speech modifications to reduce the ambiguity of traditional language tests and support diagnostic efforts of cognitive impairment and disorders by clinicians.
Why it matters:
Cognitive decline in older age, leading to dementia, is a growing problem in industrialized and industrializing societies
- 2015 : 47 million people
- 2050 : app.141 million people
Cognitive decline is exhausting economically and socially:
- 2015 : global cost --$818 billion
- App 85% of costs are related to family and social, rather than medical care
Harmful effects are not only associated with advanced forms of cognitive decline as mild cognitive impairment can significantly affect the quality of life of both patients and their caretakers. Overall, around 10-20% of the elderly have mild cognitive impairment. Dementia is developing years before the first symptoms become obvious (up to 15-20 years). Due to the alarming growth of the number of people with dementia worldwide, early detection of cognitive decline and impairment is one of the key issues. Progressive techniques like neuroimaging or genetic measurement show good results, but can’t be widely spread due to invasiveness and high cost.
Cognitive disorders tend to emerge sporadically difficult to detect throughout infrequent checks. Besides the challenges, self-reported questionnaires or data sets collected in lab settings impose, an additional challenge is an access to data that truly reflects the mental state of a patient. The range of variations in scores might overlap with those participants, who do not experience any decline in cognitive functions making them not highly reliable in capturing individual differences. Recent studies have suggested that various speech modifications can be one of the earliest signs of cognitive impairment before other signs become obvious. Traditional language tests are not highly reliable in this context since they tend to provide quite ambiguous results AI-powered techniques
- can recognize various language modifications
- can capture early signs of cognitive decline
- can help to glean an understanding of the true mental state of a patient
- can detect symptoms that might potentially be harbingers of various cognitive impairments
Updates
The Campaign FAQs
What is the current stage?
MVP stage, have been working on it myself - including meta-analysis, a concept set up, and coding. My biggest struggle is proprietary data - I had an interest from Mexico to run a pilot but it did not happen.
What is the vision?
Dementia is the 1st step, there is more to it, more details, data, and applications including sensors and movement patterns tracking. The ultimate desire is not only detection but an affordable 'tool' e.g. in a form of interactive exercise to mitigate potential risks based on the results of trials via utilization of neuroplasticity and extension of cognitive reserve. We often overlook simpler solutions and try to mask the symptoms and not prevent potential risks. Also, I am determined to improve training vocabularies due to its bias (majority of white males of middle age and class) to improve overall performance as well as share with the scientific community. Ideally, I want it to be an extension to voice-activated services like alexa or siri and alert people who agree to have this possibility (MCI, dementia and other ).
One-on-one chat to talk about entrepreneurship, neuroscience, tech or data science. This is a place where you can ask any questions.
One-on-one chat to talk about entrepreneurship, neuroscience, tech or data science. This is a place where you can ask any questions.
I am a data science nomad and AI enthusiast with a strong vision of data usage for social good. I have degrees in economics, bid data/machine learning and applied neuroscience (on a way). Further, I have extensive experience in AI research, data science and AI in the area of cognitive health.
This call is a perfect place to ask questions, I am happy to guide, share my experience, answer questions and suggest the best path based on my experience.
Are you considering implementing data science into your business practice or improving your current strategy? Are you wondering if your data are being used inefficiently? Or are you searching for new unique approaches to solving your business problems?
I will
-
perform scorecard performance based on your needs to identify strengths, gaps, potential untapped opportunities, and weaknesses
-
advice on the best plan of action with detailed technical and supporting documentation including staff training at necessity or development of the educational package
-
advise on best implementation strategy
-
identify your R&D needs and develop state-of-art approaches or proprietary methodologies based on recent developments in the field
Are you wondering what might happen in the future or would you like to predict the outcome of your campaign or which customer will churn? Are you wondering what type of customers uses your products or services?
I will
-
evaluate your existing data and advise on best practices of data storage and pre-processing
-
perform data analysis and output key metrics and characteristics
-
develop machine learning model depending on your needs and supporting technical documentation to avoid the effect of a ‘black box’
Are you swamped with a massive amount of text data and wondering how to use it? Are you curious about how your product or brand is perceived?
I will
-
advise on smarter data analysis and categorization of text data
-
analyze the sentiment of customer’s reviews or comments
-
identify influencers and social networks of users
-
perform topic modeling to identify which topics are the most popular among unclassified data or users
-
cluster users based on their similarity or perform similarity analysis of the text
-
identify customer’s profiles even without knowing their major characteristics like age or gender (proprietary methodology)
Rewards
One-on-one chat to talk about entrepreneurship, neuroscience, tech or data science. This is a place where you can ask any questions.
One-on-one chat to talk about entrepreneurship, neuroscience, tech or data science. This is a place where you can ask any questions.
I am a data science nomad and AI enthusiast with a strong vision of data usage for social good. I have degrees in economics, bid data/machine learning and applied neuroscience (on a way). Further, I have extensive experience in AI research, data science and AI in the area of cognitive health.
This call is a perfect place to ask questions, I am happy to guide, share my experience, answer questions and suggest the best path based on my experience.
Are you considering implementing data science into your business practice or improving your current strategy? Are you wondering if your data are being used inefficiently? Or are you searching for new unique approaches to solving your business problems?
I will
-
perform scorecard performance based on your needs to identify strengths, gaps, potential untapped opportunities, and weaknesses
-
advice on the best plan of action with detailed technical and supporting documentation including staff training at necessity or development of the educational package
-
advise on best implementation strategy
-
identify your R&D needs and develop state-of-art approaches or proprietary methodologies based on recent developments in the field
Are you wondering what might happen in the future or would you like to predict the outcome of your campaign or which customer will churn? Are you wondering what type of customers uses your products or services?
I will
-
evaluate your existing data and advise on best practices of data storage and pre-processing
-
perform data analysis and output key metrics and characteristics
-
develop machine learning model depending on your needs and supporting technical documentation to avoid the effect of a ‘black box’
Are you swamped with a massive amount of text data and wondering how to use it? Are you curious about how your product or brand is perceived?
I will
-
advise on smarter data analysis and categorization of text data
-
analyze the sentiment of customer’s reviews or comments
-
identify influencers and social networks of users
-
perform topic modeling to identify which topics are the most popular among unclassified data or users
-
cluster users based on their similarity or perform similarity analysis of the text
-
identify customer’s profiles even without knowing their major characteristics like age or gender (proprietary methodology)