Turning data into cures

The AI & Insights Layer is the intelligence core of the Data4Cure Biomedical Intelligence® Platform, where harmonized data, scalable computation, and structured knowledge converge to generate actionable insight. Building on the Data Hub, Biomedical App Engine, and CURIE Knowledge Graph, this layer applies advanced AI, graph-based learning, and generative reasoning

Modern biomedical research is defined by its scale and heterogeneity. Across the life sciences, millions of datasets—from genomics to clinical trials—provide valuable fragments of information. Yet much of this information remains disconnected. To make full use of it, researchers need a framework that continuously integrates and contextualizes data

In the fast-moving world of biomedical research, data is only the starting point. The real breakthroughs come from what you can do with that data—the analyses you run, the models you build, the insights you generate. That’s where the App Engine comes in. As the computational powerhouse of

In today’s biomedical research landscape, data is vast, multimodal, and growing at an unprecedented pace — from vast multi-omics datasets and clinical trial results to large-scale single-cell sequencing and spatial transcriptomic studies. The real challenge isn’t just producing and storing the data, but making sense of it all. That’

We’re excited to share that Data4Cure has been recognized in the 2025 Gartner Hype Cycle for Life Science R&D in the Semantic Knowledge Graph Tools category.  This acknowledgement underscores Data4Cure’s growing impact in the Life Science R&D space helping reshape how biomedical knowledge is

Data4Cure will present two new research abstracts at the 2025 American Association for Cancer Research (AACR) Annual Meeting. These presentations highlight Data4Cure's advances in AI-based approaches for drug target discovery and large-scale cancer subtyping using foundation models applied to large collections of sequencing data. In the first study,

Data4Cure, Inc. will present its latest advancements in AI-driven data integration and knowledge discovery to support pharmaceutical research and development at the 2025 Bio-IT World Conference and Expo. In a featured session titled "An AI and Knowledge Graph Ecosystem to Inform Pharmaceutical R&D," Janusz Dutkowski, Data4Cure&

Last month we had the pleasure of hosting a session on knowledge graphs, LLMs and foundation models in pharmaceutical R&D at the 2025 Precision Medicine World Conference in Santa Clara, CA (PMWC 2025). The session speakers - Paul Rejto, PhD, Vice President, Discovery Technologies at Pfizer and Janusz

We’re excited to take part in the upcoming 2025 Precision Medicine World Conference in Santa Clara. Janusz Dutkowski, Co-founder & CEO of Data4Cure, will host a session in the AI Models for Drug Discovery & Clinical Research track on February 7 (Day 3, Track 2). Dr. Dutkowski will join

Synopsis * Data4Cure introduces the CRISPR Cancer Immune Atlas, featuring data from recent publications that utilize CRISPR technology to uncover key determinants of cancer immunity. * The CRISPR Cancer Immune Atlas offers 71 screens across 10 datasets, including data from in vitro and in vivo immune challenges as well as phenotypic screens

* Biomarker discovery in Parkinson's disease (PD) is challenging due to late-stage symptom emergence and limited access to high-quality datasets. * The Biomedical Intelligence Cloud offers access to curated datasets, aiding in biomarker identification and drug target discovery for PD. * The Parkinson's disease resource collection in the Biomedical

We recently had the pleasure to take part in the 2023 Precision Medicine World Conference in Santa Clara. This annual event brought together top researchers, medical professionals, innovators and leaders across the healthcare, pharmaceutical and biotechnology sectors. Data4Cure's co-founder and CEO Janusz Dutkowski, gave a talk in the

We recently joined forces with the Precision Medicine World Conference to organize a session on semantic knowledge graphs in drug discovery and clinical trials. The session focused on how pharmaceutical and biotech companies are implementing new interpretable semantic AI technologies (combining machine learning and knowledge graphs) to continuously update knowledge

Check out the July 2019 issue of the Drug Information Association (DIA) Digital Forum Magazine [https://globalforum.diaglobal.org/issue/july-2019/?_ga=2.194942825.591083740.1579027794-1299344399.1579027794] for our own article on Using Semantic AI In Biomedicine! DIA’s Magazine offers expert coverage of the discovery, development, regulation, surveillance, and

Data4Cure was excited to be part of the 2019 Annual Meeting of the American Association for Cancer Research (AACR), the world’s oldest and largest professional association that focuses on cancer research. As part of the Session on Late-Breaking Research: Bioinformatics, Convergence Science, and Systems Biology [https://www.abstractsonline.com/

Greetings! This week in our technology section of the blog we are covering the Data4Cure Single-cell RNA-seq Analysis App – part of the Biomedical Intelligence Cloud App Engine. We will focus on analysis of two recently published single-cell datasets looking at identifying biomarkers for immunotherapy response/resistance:Jerby-Arnon et al., Cell,

A few weeks ago we wrote about the extensive updates to the CURIE Knowledge Graph (reaching 1 billion data-driven and literature-mined relations) [https://blog.data4cure.com/new-year-major-updates-platform/] and a new Data Resources framework [https://blog.data4cure.com/new-year-major-updates-platform/] integrating and semantically indexing thousands of biomedical datasets within the Data4Cure Biomedical

Despite the groundbreaking success of immune checkpoint inhibitor (ICI) therapies in hard-to-treat cancers, still only a fraction of patients show long-term clinical benefit. With the rapidly accumulating molecular, pathologic and clinical data from clinical trials and cancer cohorts, the question is how to best leverage these data to identify better

A few weeks ago we wrote about the extensive updates to the CURIE Knowledge Graph (reaching 1 billion data-driven and literature-mined relations) [https://blog.data4cure.com/new-year-major-updates-platform/] and a new Data Resources framework [https://blog.data4cure.com/new-year-major-updates-platform/] in DataHub for semantic integration and indexing of thousands of datasets. To

Greetings and Happy New Year! We are happy to report that the Data4Cure Biomedical Intelligence®Cloud and CURIETMKnowledge Graph are once again significantly expanding to help with a yet broader set of tasks in pharmaceutical R&D. With the updates this month, the CURIE Knowledge Graph is reaching1 billion

A key challenge in the field of immunotherapy is predicting which patients will respond to IO therapy either as a single agent or in combination with other treatments. Clinical and experimental strategies involve testing expression of individual markers or gene panels, assessing tumor mutation burden and MSI status, and more

Please join us at the Big Data in Precision Medicine Conference in Washington, DC,Oct. 31 – Nov. 1, 2017. We will present new applications on our Biomedical Intelligence Cloud platform and discuss approaches which apply advanced machine learning and AI algorithms to continuously update biomedical knowledge. Janusz Dutkowski, CEO of