Technology

uMed’s AccessCMD next-generation Cardiometabolic Cohort hits 2000 patient milestone in less than 4 months

Published

2 years ago

July 10, 2024

Providing researchers with unparalleled opportunity to access novel endpoints

LONDON, July 10, 2024 /PRNewswire/ — Healthcare evidence-generation and technology company uMed have announced the successful enrollment of over 2,000 participants into their AccessCMD Cardiometabolic Cohort less than 4 months after starting enrollment.

The exponential growth of the cohort within this short time frame highlights the commitment of patients within this disease area to engage in research, and showcases the effectiveness of uMed’s unique model in providing research access that has previously been unavailable.

AccessCMD is a novel decentralised registry and integrated clinical research platform, ethics committee-approved under a master protocol framework. As with all uMed Cohorts, AccessCMD is powered by the Company’s ACCESS Research Platform which is partnered with a vast network of healthcare institutions in the UK and US. This enables rapid and targeted identification of patients via their health record data, and engagement via SMS, email, letter and phone, on behalf of their healthcare institution. Upon invitation to the cohort, patients provide their consent to be re-contacted for the collection of additional data or participate in additional research studies.

Participants within AccessCMD actively contribute data from their Electronic Medical Records (EMR), genetic tests, wearable devices and patient-reported outcome surveys, offering an unparalleled opportunity for researchers within this disease area to access novel endpoints.

“From the rapid growth we have seen with AccessCMD it is clear that patients are willing and eager to participate in research, they just need to be provided the opportunity to do so, and at uMed we are empowering this unique access. We achieve this through a combination of tailored communication on behalf of the patients’ trusted healthcare provider, offering research opportunities that are highly relevant to the individual’s health circumstances, and allowing patients to participate from the comfort of their own home” commented Anil Jina, MD. Chief Medical Officer at uMed.

With the rise in global obesity and related diseases, cardiometabolic research is capturing the attention of research groups as they work towards the development of new therapies and tools to address this health crisis.

The potential for these therapies to benefit such a large proportion of the population is evident, however a challenge for researchers at all stages of the therapy lifecycle is the ability to access the required data points from large enough representative sub-cohorts.

Cardiometabolic disease describes numerous conditions, each interacting through intricate pathways and mechanisms that vary among individuals, many of which remain incompletely understood. Therefore researchers are often faced with the obstacles of finding a sufficient number of patients that meet their very specific study criteria, and obtaining the necessary endpoints needed to answer their research questions. Available databases and registries are static, preventing the easy collection of custom data, and site-based research is time consuming and expensive to set-up.

“We’ve seen the huge impact of recent therapeutic developments within cardiometabolics, and for the many researchers now entering this field, accessibility and speed are key.” commented Dr Matt Wilson, CEO & Founder of uMed. “uMed is bridging the evidence gaps that currently exist between static databases and site-based studies, enabling the rapid collection of custom datasets without the requirement to start studies from scratch. AccessCMD presents researchers with a large cohort of pre-consented patients that researchers can rapidly re-contact to access additional custom endpoints to augment the expanding baseline dataset.”

“The rate of growth of AccessCMD is compelling and the potential for further growth is exciting. Over a quarter of the population in the UK have risk factors, such high BMI, for serious cardiometabolic diseases. uMed’s integration with healthcare institutions across the UK is providing access to a large number of these patients. If we extrapolate the rate of growth we are seeing in AccessCMD to these wider population numbers, we expect to be able to improve access for patients to relevant research studies and to present researchers with important opportunities to extend their research to groups who have been historically underserved.” commented Dr Mark Toshner, Chief Investigator of AccessCMD

AccessCMD is currently recruiting patients across the UK via uMed’s healthcare network, with plans to launch the Cohort in the US by the end of 2024.

View original content:https://www.prnewswire.com/news-releases/umeds-accesscmd-next-generation-cardiometabolic-cohort-hits-2000-patient-milestone-in-less-than-4-months-302191933.html

SOURCE uMed

Technology

Zifo Transforms Ontology Engineering with AI-Powered Intelligent Automation

Published

1 hour ago

April 30, 2026

Advanced AI solution speeds up ontology creation by 80%, generating structured, interoperable knowledge models for science-driven organizations.

CAMBRIDGE, Mass. and CAMBRIDGE, England, April 30, 2026 /PRNewswire/ — Zifo, the leading global enabler of AI and data-driven enterprise informatics for science-driven organizations, has developed an Intelligent Automation solution for Ontology Engineering, which is designed to seamlessly generate structured, interoperable knowledge models while accelerating ontology creation by 80%.

Overcoming the Bottlenecks of Manual Ontology Creation

Manual ontology creation in the biopharma industry has traditionally been a time-consuming process that requires specialized expertise. Organizations frequently struggle with semantic ambiguity, complex integration challenges, and limited scalability, resulting in workflows that can take weeks to complete. Zifo’s AI-powered automation tackles these challenges head-on by eliminating 80% of the manual work through automated class generation, description creation, and precise IRI mapping.

Addressing the Complexities of Semantic Knowledge

Developing comprehensive knowledge models often demands deep domain expertise to define relationships and align terminology. Zifo’s intelligent solution overcomes this by providing an AI-guided workflow featuring an intuitive interface, meaning specialized ontology engineering knowledge is no longer required. By leveraging LLM-powered generation, the solution creates precise definitions with a deep understanding of domain-specific context, while generating standardized synonyms and establishing controlled vocabulary alignment to eliminate inconsistent terminology.

A Solution Designed for Scalable Scientific Data Modeling

The AI-powered solution addresses critical format compatibility and integration points in ontology management:

Seamless Integration: Automated mapping connects directly to established ontologies, including NCIT, CHEBI, OBI, and EFO, via BioPortal and OLS APIs.Massive Scalability: Parallel processing and batch operations empower teams to execute large-scale ontology projects without performance limitations.Automated Hierarchies: The AI autonomously generates semantic relationships and parent-child hierarchies based on domain context and predefined relation vocabularies.Format Compatibility: The solution produces direct OWL/RDF exports with proper URIs, ensuring seamless downstream integration.

Unique Features include:

Multi-Source Integration: The solution combines BioPortal, OLS, and EMBL-EBI APIs to guarantee comprehensive ontology coverage.Intelligent Ranking System: The system uses AI-powered relevance scoring and justification for precise ontology mappings.Precise IRI Mapping: It ensures that each generated class is linked to the correct IRI, directly promoting semantic web compatibility.Human-in-the-Loop Design: The solution automates repetitive tasks while maintaining vital expert oversight.End-to-End Workflow: Users are guided through a complete pipeline, from initial domain knowledge input straight to exportable OWL files.Visual Knowledge Graph: An interactive graph visualization allows for intuitive relationship exploration and validation.Multi-Format Exports: Provides seamless export options in CSV, OWL, or HTML Ontograph formats for downstream use, collaboration, and visualization.

Strategic Value Across the Scientific Chain

This solution breaks down the traditional barriers of data structuring. Built on a robust backend of Python, LangChain, and leading LLM models, alongside a frontend framework using Next.js 15 and Cytoscape.js for graph visualization, the solution is highly adaptable. Furthermore, future optimization enhancements will include provisions for uploading user-defined classes or semi-ready ontologies.

About Zifo

Zifo is the leading global enabler of AI and data-driven enterprise informatics for science-driven organizations. With expertise spanning research, development, manufacturing, and clinical domains, Zifo serves a diverse range of industries including Pharma, Biotech, Chemicals, Food and Beverage, and more. Trusted by over 190 organizations worldwide, Zifo is the partner of choice for advancing digital scientific innovation.

For more information, visit www.zifornd.com; https://zifornd.com/practical-ai-blueprints/

Logo: https://mma.prnewswire.com/media/2731415/Zifo_Technologies_Logo.jpg

View original content:https://www.prnewswire.com/news-releases/zifo-transforms-ontology-engineering-with-ai-powered-intelligent-automation-302758975.html

SOURCE Zifo Technologies

Technology

UNC-Chapel Hill establishes ‘Carolina in the Capital’ with new Washington, D.C. office

Published

1 hour ago

April 30, 2026

CHAPEL HILL, N.C., April 30, 2026 /PRNewswire/ — The University of North Carolina at Chapel Hill has opened a new office in Washington, D.C., establishing an expanded presence for the University in the nation’s capital and creating exciting opportunities for students, faculty, staff and alumni.

Located at 101 Constitution Avenue NW, the 10,861-square-foot space – coined “Carolina in the Capital” – will support a variety of functions, including educational programming for undergraduate and graduate students, alumni relations and engagement with government partners.

As a leading R1 university, UNC-Chapel Hill annually attracts more than $1.6 billion to the state’s economy to fund research that creates a better quality of life for all its citizens. More than 60% of UNC-Chapel Hill’s total research funding comes from federal sponsors with the majority of that federal funding coming from the National Institutes of Health (NIH), which is based in the Washington area.

“Carolina in the Capital is a state-of-the-art facility that reflects our commitment to creating experiential learning opportunities for our students and faculty,” said Chancellor Lee H. Roberts. “The space is designed as an immersive learning environment where students can translate classroom knowledge into hands-on experience, which has never been more important. The facility also strengthens our ability to support engagement between our staff, alumni, policymakers and partners.”

Supporting students participating in Carolina’s Washington-based academic programs is a priority. For years, students and faculty have relied on temporary or borrowed spaces across the city. The new office provides a permanent home where students can gather, learn and build community while living and studying in Washington. A robust schedule of classes and events will fill the space throughout the year.

The Washington, D.C. region is home to the largest concentration of out-of-state Carolina alumni anywhere in the country. The new office creates a dedicated space to strengthen those connections and support networking, mentorship, professional development and community-building among D.C.-based Tar Heels.

The space will also serve as a platform to bring Carolina’s research and academic expertise into closer conversation with policymakers, industry leaders and member organizations. Carolina is the nation’s 11th largest university in the country based on research volume with primary federal funding coming from NIH and the National Science Foundation (NSF), both based in the D.C. area. Carolina is a proud member of the Association of American Universities (AAU) and the Association of Public & Land Grant Universities (APLU), which are both based in Washington.

The office is funded entirely through the UNC-Chapel Hill Foundation and does not use any state appropriations.

You can view additional photos of the space here.

Media Contact: UNC Media Relations, 919-445-8555, mediarelations@unc.edu

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SOURCE University of North Carolina at Chapel Hill Office of Communications

Technology

Investing.com Acquires Stonki to Accelerate Its Entry into the Agentic AI Era

Published

1 hour ago

April 30, 2026

The acquisition strengthens Investing.com’s AI capabilities, advancing a next-generation research assistant that can analyze markets, generate insights, and guide investors in real time

NEW YORK, April 30, 2026 /PRNewswire/ — Investing.com, one of the world’s largest financial platforms used by more than 60 million investors each month, today announced the acquisition of Stonki, an AI-powered investing assistant designed to help traders turn ideas into structured, actionable trading plans.

The move marks a major step in the company’s evolution toward agentic AI, strengthening its ability to deliver faster, deeper, and more actionable market insights to a growing base of more than 300,000 paying subscribers across its InvestingPro suite, the company’s premium subscription offering for advanced market data, tools, and AI-driven insights.

Over the past 12 months, nearly 3 million users have used WarrenAI, Investing.com’s AI-powered financial research assistant launched last year, to perform market analysis, making AI a central entry point into the platform’s ecosystem. With the addition of Stonki, the company is moving beyond traditional AI tools toward agentic systems that can proactively guide users through the investment process.

“We’re entering the age of agentic AI, where the technology moves beyond just answering questions to actively helping investors think, analyze, and act,” said Omer Shvili, CEO of Investing.com. “Bringing Stonki.ai into the fold accelerates our goal of building an agentic platform that will serve as a 24/7 analyst for our users. We are developing this to be more than just a tool; it will be a partner that identifies opportunities, tracks unfolding situations, and surfaces trade ideas even when the user isn’t active—giving our users the kind of edge that was previously only available to professional investors.”

Founded in 2025, Stonki is developing a new category of ‘agentic’ AI for investing, enabling users to turn investment ideas into fully defined strategies with entry and exit conditions, risk management rules, and continuous monitoring.

“We started Stonki because, as investors and traders ourselves, we knew how much time and focus it takes to stay on top of the market and properly manage a day trade, a swing trade, an investment idea, or a portfolio,” said Ulas Bilgenoglu and Itay Verkh, co-founders of Stonki. “We set out to build AI that could carry part of that load by continuously monitoring the market, turning ideas into structured strategies, and helping users make better decisions with clear entry and exit conditions, disciplined risk management, and ongoing tracking. Joining Investing.com gives us the scale, data, reach, and strong AI foundation to accelerate that vision. Together, we can create an experience where AI helps users stay ahead of the market, manage risk, and act with greater confidence.”

The acquisition expands Investing.com’s AI capabilities across both technical and fundamental investing workflows. Stonki’s technology is built around persistent, real-time intelligence, continuously monitoring markets, tracking user-defined strategies, and alerting investors when conditions align, rather than relying on one-off prompts or static analysis.

For active traders, the platform is evolving into a real-time analysis engine designed to support high-frequency decision-making with precision and speed. For long-term investors, it is becoming a central hub for research, enabling users to evaluate opportunities, set personalized alerts, and monitor portfolios based on their individual investment strategies.

Users will be able to define specific conditions, such as a stock crossing a long-term moving average, and have the AI continuously monitor the market, analyze relevant signals, and surface actionable insights in real time. The system will also review portfolios on an ongoing basis, helping investors avoid potential losses and uncover new opportunities aligned with their strategy.

This latest step builds on Investing.com’s broader strategy of expanding its AI-powered suite, including WarrenAI, ProPicks AI, and its recently launched AI Chart Analysis, all aimed at delivering faster, more accurate and more actionable insights to investors.

View original content:https://www.prnewswire.com/news-releases/investingcom-acquires-stonki-to-accelerate-its-entry-into-the-agentic-ai-era-302756588.html

SOURCE Investing.com