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Description

HEKMA is a pioneering company utilizing artificial intelligence to enhance the efficiency of clinical trials by optimizing patient recruitment, assessing trial feasibility, and fostering patient engagement. Their comprehensive platform caters to a diverse audience, including contract research organizations (CROs), pharmaceutical sponsors, healthcare facilities, and patients, by integrating electronic health records (EHRs) with AI-driven trial matching, clinical trial management solutions, and tools for engaging patients. The core mission of HEKMA is to minimize delays in enrollment, broaden access to clinical trials—especially for underrepresented communities—and streamline the clinical research process to ensure it is more efficient, transparent, and centered around patient needs. With a blend of healthcare knowledge, artificial intelligence capabilities, and clinical operations expertise, HEKMA adheres to crucial industry regulations such as HIPAA, 21 CFR Part 11, GDPR, and HL7/FHIR, ensuring the highest standards of compliance. By harnessing innovative technology, HEKMA aims to transform the landscape of clinical trials, ultimately contributing to advancements in medical research and patient care.

Description

Progressing artificial intelligence to remove the need for trial and error in healthcare, our digital twins facilitate swift and assured clinical trials. We focus on areas such as neuroscience, immunology, and metabolic diseases, among others. TwinRCTs expedite full enrollment by requiring fewer participants to provide equivalent statistical power compared to conventional trial methodologies. This approach significantly reduces the time needed for late-stage study enrollment. Additionally, TwinRCTs enhance the ability to detect treatment effects in early-stage studies by bolstering statistical power without necessitating an increase in participant numbers. They enable researchers to make informed decisions based on initial study outcomes and help attract more participants to trials. By utilizing smaller control groups, TwinRCTs also improve participants' odds of receiving the experimental treatment. Our commitment to positioning clinical trials with digital twins for regulatory success is unwavering. Unlearn is at the forefront of transforming the medical field through the innovative application of artificial intelligence, creating and implementing novel generative models that are trained on vast datasets derived from previous patient studies. This evolution in methodology not only streamlines research but also enhances the overall effectiveness of clinical trials.

API Access

Has API

API Access

Has API

Screenshots View All

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Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

HEKMA

Founded

2018

Country

United States

Website

www.hekma.ai/

Vendor Details

Company Name

Unlearn

Country

United States

Website

www.unlearn.ai/

Product Features

Clinical Trial Management

21 CFR Part 11 Compliance
Document Management
Electronic Data Capture
Enrollment Management
HIPAA Compliant
Monitoring
Patient Database
Recruiting Management
Scheduling
Study Planning

Product Features

Clinical Trial Management

21 CFR Part 11 Compliance
Document Management
Electronic Data Capture
Enrollment Management
HIPAA Compliant
Monitoring
Patient Database
Recruiting Management
Scheduling
Study Planning

Alternatives

No Alternatives

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