We use linguistics
Our assays fingerprint abnormalities early,
before full-blown symptoms appear
We are at the leading edge of
Analyzing Language, Improving Health
We empower patients with tools to measure their overall health through collecting and analyzing speech samples. By fingerprinting health abnormalities early, we equip patients and physicians with insight to prevent symptoms from worsening. In this way, we strive to be the world's leading platform company to advance linguistics as a tool to characterize various health conditions.
Analyze your own speech patterns to measure your overall health and detect health abnormalities.
Use syntactic and semantic information as an aid to characterize patient symptoms.
Deploy linguistic biomarker assays to track the efficacy of drugs throughout clinical studies.
Mine data and co-develop new patient linguistic analysis protocols using our open APIs.
We believe the next-generation of medicine will be personalized, quality-driven, and focused on prevention. We place your health at your fingertips through our linguistic biomarker assays.
Areas of Focus
Many individuals that suffer from strokes have deficits in language, such as the inability to find the right words (aphasia). Our software can help to characterize the extent of injury and aid in stroke recovery.
Few metrics are available to characterize fatigue. Our algorithms over time can characterize the extent to which someone is awake, which is important for a variety of jobs.
Alzheimer's disease (AD) is a progressive degenerative disease characterized by a gradual decline in memory. Our algorithms can characterize memory decline as AD progresses.
Pain is often measured through subjective rating scales. We use language in tandem with these scales to better quantify the extent of pain in patients (e.g. arthritis).
Children that have autism often exhibit distinct variations in language, such as mixing up pronouns or interpreting rhetorical statements literally. Our algorithms can thus help characterize the symptoms of autism and personalize learning around patient strengths.
Bipolar II disorder is characterized fluctuating periods of hypomania and depression. These fluctuations often lead to language variations and changes the pace which words are spoken and thoughts are formed. Our algorithms can thus act as a biometric to characterize changes in bipolar II disorder.
Individuals who develop schizophrenia often have a lead-up period called the "prodrome" marked by thought broadcasting and odd use of language. Our algorithms, combined with traditional psychotic rating scales, can characterize these changes and predict which individuals will have onset psychosis and which will not.
Our algorithms use sentiment analysis to detect anxiety and the extent to which you are depressed. This characterization, when used in parallel to traditional depression and anxiety inventories, can lead to prompt medical treatment, as necessary.
Chief Executive Officer
Jim has started, managed, and grown companies across multiple sizes, stages, and market sectors, taking the roles of CEO, CTO,…
Chief Technology Officer
Drew Morris is a technology consultant based out of the Atlanta area with a strong background in developing applications…
Chief Financial Officer
As CFO, Kerry brings NeuroLex more than 15 years of assisting high growth companies in their strategic planning, fundraising,…
We are actively seeking investors, partnerships, and R&D pilots. Let us know how we can work together!
Atlanta <> Boston <> New York <> San Francisco.
DISCLAIMER: Our software suite has not been evaluated by the Food and Drug Administration and is not intended to diagnose, treat, cure or prevent any disease.