Not being aware of it and identifying it early can lead to devastating personal, social and national impacts
It delays progression of disease, especially in the early stages
It gives timely access to information, advice, and support
It maximises quality of life for patient and their caregiver
It allows for future planning especially emotional, financial, and legal matters
Cogni.Dx is an electronic tool that is designed to collect comprehensive history and assessments in a remote,
self-administered way, and provides
instant diagnosis
to your care provider
To receive timely diagnosis, reduce long waiting times, seek early treatment and support, and plan for their future
To differentiate between dementia and delirium with high accuracy and
give genuine referrals to specialist clinics
To get a cognitive & behavioural profile of patients to tailor care needs and implement safety measures
To identify patients in specific dementia subtypes to provide drug treatments and test new drugs for clinical trials
To identify patients in early stages for risk stratification, timely support and adequate treatment
for the detection and diagnosis of early-stage dementia and pre-dementia (MCI) conditions, from the comfort of the patient's home, community centre, or dementia cafe
full medical, cognitive and behavioural history as well as performance-based assessments from the patient in under 30 minutes
that includes a probabilistic diagnostic impression on the cognitive and functional ability is instantly sent to the provider to take an informed decision
is done within the tool to overcome any bias due to patient's mentality towards a test (e.g. not telling the truth to hide from an uncomfortable diagnosis)
and customise services as well as place safety arrangements based on the performance data and exact stage or subtype of the disease, as deduced by the tool
as the tool uses a simple, highly predictive approach that democratises access to dementia diagnosis without expensive investigations and scans
for the detection and diagnosis of early-stage dementia and pre-dementia (MCI) conditions, from the comfort of the patient's home, community centre, or dementia cafe
full medical, cognitive and behavioural history as well as performance-based assessments from the patient in under 30 minutes
that includes a probabilistic diagnostic impression on the cognitive and functional ability is instantly sent to the provider to take an informed decision
is done within the tool to overcome any bias due to patient's mentality towards a test (e.g. not telling the truth to hide from an uncomfortable diagnosis)
and customise services as well as place safety arrangements based on the performance data and exact stage or subtype of the disease, as deduced by the tool
as the tool uses a simple, highly predictive approach that democratises access to dementia diagnosis without expensive investigations and scans
for the detection and diagnosis of early-stage dementia and pre-dementia (MCI) conditions, from the comfort of the patient's home, community centre, or dementia cafe
full medical, cognitive and behavioural history as well as performance-based assessments from the patient in under 30 minutes
that includes a probabilistic diagnostic impression on the cognitive and functional ability is instantly sent to the provider to take an informed decision
is done within the tool to overcome any bias due to patient's mentality towards a test (e.g. not telling the truth to hide from an uncomfortable diagnosis)
and customise services as well as place safety arrangements based on the performance data and exact stage or subtype of the disease, as deduced by the tool
as the tool uses a simple, highly predictive approach that democratises access to dementia diagnosis without expensive investigations and scans
Our third pilot is scheduled to start in September 2023 and will test 500 patients in a specialist clinic setting to see the accuracy of the diagnosis produced by Cogni.Dx against the blinded diagnosis of a dementia sub-specialist
The purpose of this study is to evaluate the feasibility of using Cogni.Dx as compared to paper-based assessments amongst 100 community-dwelling adults with no known neurocognitive diagnoses
We spent 2 Covid years researching, fine tuning and developing a fully functional version of our web-based tool and have tested our algorithm on 200 patients (157 retrospective patient histories and 43 face to face patients) and achieved a 97% accuracy rate (94% sensitivity, 99% specificity).
Cogni.Dx was conceptualised in a prestigious venture builder programme under Zinc VC Ltd. and was shortlisted amongst 50 participants and chosen in the top 10 to have the most potential to succeed in adding years to later life