Artificial Intelligence | Machine Learning | Natural Language Processing Dyania Health | Proprietary Physician-Trained A.I.


Enterprise, Health Care, Patient Care, Improving Quality Measures, Digital Health Records Los Angeles, California, United States

Dyania Health

Artificial Intelligence | Machine Learning | Natural Language Processing


Dyania Health | Proprietary Physician-Trained A.I.

Dyania Health

Health Care, Patient Care, Improving Quality Measures, Digital Health Records


Los Angeles, California, United States

 

A Globally Renowned Research Team Prioritizing Patients’ Best Health Outcomes. We build technologies that expand access to the most Innovative Healthcare through Clinical Trials. We are a team focused on saving lives by providing access to healthcare therapeutic innovations that are still under investigation. We believe that every patient should be empowered and educated on their opportunities to participate in clinical trials that may offer therapies significantly saving or improving their lives.

We are an advanced healthcare AI research company that have developed a computational-based platform to identify patients who match a complex set of criteria to participate in clinical trials. Our mission is to bridge computational and healthcare expertise with de-identified EMR data and partnerships with healthcare systems to transform and expand access to cutting edge healthcare and innovative therapeutics for patients with life-impacting conditions. Our technology tool kit specializes in natural language processing that understands and extracts data from clinical notes and is optimized for various disease-specific use-cases. Dyania Health’s strength is our team’s clinical research capacity and ability to translate core technology into applications that provide end-users with unique value in auto-immune, oncology, inflammatory, and infectious diseases.

 

B2B

26 to 50

Seed

$5.3M

Scaling Up

2019

 
 

Healthcare
Health Care Facilities & Hospitals

Analyze Biomarkers Over Time
Analyzing Unstructured EMR Data
Extracts Complex Clinical Data Points

Increase Efficiency

 
 

Analytics
Service

Yes

Active

 
 

   Machine Learning
   Natural Language Processing


Digital Health Platform

Digital Health Platform


Text

Text

Structured

Structured

 

   Software


Jenkins

Jenkins

Python

Python

C/C++

C/C++

Node.js

Node.js

Typescript

Typescript

API REST

API REST

Azure SQL

Azure SQL


Machine Learning Algorithm

Machine Learning Algorithm

Deep Learning Algorithm

Deep Learning Algorithm

 
 

7

1

$5.3M

Company was founded 2019 and it took almost 3 years (Sep 2022) to raise first external round

 
 

Date

Round

$ Raised

Investors

09/19/2022

Seed

$5.3M

Innospark Ventures, Outsiders Fund, Wild Basin, Big Pi Ventures, Tau Ventures, Genesis Ventures, TLife Investments

Date : 09/19/2022

Round: Seed

$ Raised: $5.3M

Investors: Innospark Ventures, Outsiders Fund, Wild Basin, Big Pi Ventures, Tau Ventures, Genesis Ventures, TLife Investments

 

Investors

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Eirini Schlosser

Eirini Schlosser
Founder & CEO

Zacharoula Economou

Zacharoula Economou
Chief Of Staff

 
 

Potential Customers

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