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What is HEKMA?

HEKMA stands at the forefront of innovation, leveraging artificial intelligence to improve the effectiveness of clinical trials through enhanced patient recruitment, evaluation of trial feasibility, and improved patient engagement. Their all-encompassing platform serves a wide range of stakeholders, including contract research organizations (CROs), pharmaceutical companies, healthcare providers, and patients, by combining electronic health records (EHRs) with AI-enhanced trial matching, clinical trial management systems, and patient engagement tools. HEKMA's primary objective is to reduce enrollment delays, increase access to clinical trials—particularly for marginalized groups—and streamline the clinical research workflow to create a process that is more efficient, transparent, and focused on patient requirements. With a unique combination of healthcare expertise, artificial intelligence technology, and clinical operations knowledge, HEKMA ensures compliance with essential industry standards, such as HIPAA, 21 CFR Part 11, GDPR, and HL7/FHIR, maintaining the highest levels of regulatory adherence. By embracing cutting-edge technology, HEKMA aspires to revolutionize the clinical trial landscape, ultimately driving progress in medical research and enhancing patient outcomes. Their commitment to innovation not only addresses current challenges in clinical research but also positions them as leaders in shaping the future of healthcare.

What is Altis Labs Nota?

Altis Labs has introduced Nota, a groundbreaking platform aimed at improving the efficiency of therapeutic research and development in the clinical field. By leveraging artificial intelligence, Nota assesses imaging data to forecast patient outcomes, enabling sponsors to better concentrate on their most viable therapies. This cutting-edge tool equips researchers with the ability to utilize imaging data from clinical trials, access predictive biomarkers, and accelerate research initiatives on a broader scale. With Altis' cloud-based software that employs deep learning techniques, biopharma companies can achieve comprehensive outcome predictions at the levels of individual images, patients, and entire cohorts, thereby enhancing the design of clinical trials and boosting confidence in predicting clinical endpoints. The insights provided by Nota hold the potential to significantly shorten development timelines, reduce drug development costs, and increase the likelihood of success in clinical trials across diverse therapeutic areas. Furthermore, Nota signifies a major leap forward in the fusion of technology with clinical research, ultimately paving the way for more streamlined and effective drug development methodologies. This innovation not only promises to transform the landscape of clinical trials but also aims to improve patient outcomes in the long run.

Media

No images available

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

HEKMA

Date Founded

2018

Company Location

United States

Company Website

www.hekma.ai/

Company Facts

Organization Name

Altis Labs

Date Founded

2019

Company Location

Canada

Company Website

www.altislabs.com/news/altis-labs-announces-launch-of-nota-a-clinical-information-platform-to-accelerate-therapeutic-r-d

Categories and 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

Categories and Features

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