Data MATRIX Introduces an AI-Operated Patient Survival Assessment Tool

Data MATRIXData MATRIX, a sole Real-World Evidence solutions provider in Russia, has presented a predictive analytics tool for estimating patient survival based on Real-World Data.

An important feature of the presented tool for predictive analysis of Real-World Data is its countrywide potential, and the ability to collect and analyze data on different patient cohorts. That in turn allows the estimation of the survival of a patient based on their individual parameters and performed or planned treatment, before being compared with the best treatment option for similar baseline data. Machine algorithms collect information about patients from medical records received from prevention and treatment facilities, pharmaceutical companies, and researchers in 29 regions of the Russian Federation.

The tool demonstration took place at Skolkovo Innovation Center with the participation of the Russian Ministry of Health, and the Russian Ministry of Economic Development. The event was also attended by representatives of major international and Russian pharmaceutical manufacturers such as Novartis, Janssen, and R-Pharm.

The company's medical director, Polina Shpigotskaya, held a live demonstration of the tool's capabilities to the participants, using breast cancer patients as an example. However, the product is also suitable for other therapeutic areas. In real time, the system processed the information about cancer patients with specified parameters, such as sex, age, degree of malignancy, and menopause status, and displayed in graphs and excel tables the prognosis of survival with the best treatment option for the cohort. The company plans to expand the functionality of the platform, increase the database through partnerships with medical institutions, and scale up the system throughout the Russian Federation.

The event was preceded by Russian President’s Vladimir Putin signing Federal Law which established a regulatory sandbox for 7 digitally innovative projects. Data MATRIX was among the 7 projects that can operate within this legal regime. Under the law, Data MATRIX can process personal data derived from electronic healthcare records (EHRs) in an anonymized form. The company will be able to conduct retrospective clinical studies without signing informed consent and obtain anonymized data from healthcare facilities and data integrators.

As a result, pharmaceutical and biotech companies will have a legally compliant provider of Real-world data (RWD) derived from millions of EHRs. This will contribute to the overall knowledge base on drugs efficacy and safety, including those of vaccines.

For further information, please visit:
https://dm-matrix.com

About Data MATRIX

Data MATRIX RWE offers a wide range of Real World Evidence (RWE) solutions with access to millions of electronic health records. This start-up also delivers clinical data management and biostatistics services and develops software for clinical research. To date, the DM RWE portfolio includes over 200 projects for pharmaceutical and biotechnology companies and CROs. DM RWE products include applications such as EDC, IWRS and ePRO. The company is a member of CDISC, ACDM, SCDM and other professional communities.

Most Popular Now

Mobile App Tracking Blood Pressure Helps…

The AHOMKA platform, an innovative mobile app for patient-to-provider communication that developed through a collaboration between the School of Engineering and leading medical institutions in Ghana, has yielded positive results...

Accelerating NHS Digital Maturity: Paper…

Digitised clinical noting at South Tees Hospitals NHS Foundation Trust is creating efficiencies for busy doctors and nurses. The trust’s CCIO Dr Andrew Adair, deputy CCIO Dr John Greenaway, and...

Customized Smartphone App Shows Promise …

A growing body of research indicates that older adults in assisted living facilities can delay or even prevent cognitive decline through interventions that combine multiple activities, such as improving diet...

AI Tool Helps Predict Who will Benefit f…

A study led by UCLA investigators shows that artificial intelligence (AI) could play a key role in improving treatment outcomes for men with prostate cancer by helping physicians determine who...

New Study Shows Promise for Gamified mHe…

A new study published in Multiple Sclerosis and Related Disorders highlights the potential of More Stamina, a gamified mobile health (mHealth) app designed to help people with Multiple Sclerosis (MS)...

AI in Healthcare: How do We Get from Hyp…

The Highland Marketing advisory board met to consider the government's enthusiasm for AI. To date, healthcare has mostly experimented with decision support tools, and their impact on the NHS and...

Research Shows AI Technology Improves Pa…

Existing research indicates that the accuracy of a Parkinson's disease diagnosis hovers between 55% and 78% in the first five years of assessment. That's partly because Parkinson's sibling movement disorders...

New AI Tool Accelerates Disease Treatmen…

University of Virginia School of Medicine scientists have created a computational tool to accelerate the development of new disease treatments. The tool goes beyond current artificial intelligence (AI) approaches by...

DMEA sparks: The Future of Digital Healt…

8 - 10 April 2025, Berlin, Germany. Digitalization is considered one of the key strategies for addressing the shortage of skilled workers - but the digital health sector also needs qualified...

First Therapy Chatbot Trial Shows AI can…

Dartmouth researchers conducted the first clinical trial of a therapy chatbot powered by generative AI and found that the software resulted in significant improvements in participants' symptoms, according to results...

Who's to Blame When AI Makes a Medi…

Assistive artificial intelligence technologies hold significant promise for transforming health care by aiding physicians in diagnosing, managing, and treating patients. However, the current trend of assistive AI implementation could actually...

DeepSeek: The "Watson" to Doct…

DeepSeek is an artificial intelligence (AI) platform built on deep learning and natural language processing (NLP) technologies. Its core products include the DeepSeek-R1 and DeepSeek-V3 models. Leveraging an efficient Mixture...