Data4Cure’s AI-Powered Biomedical Intelligence Cloud Features New Tools for Immuno-Oncology

La Jolla, CAJanuary 24, 2017 /PRNewswire/ — Data4Cure, Inc. today announced a series of updates and new case studies using its Biomedical Intelligence® Cloud – a semantic data-driven discovery platform designed to continuously grow knowledge from a multitude of genomic, molecular and clinical data that are accumulating rapidly in the field. These updates were presented at a session hosted by Data4Cure at the Precision Medicine World Conference (PMWC) in Mountain View, CA.

Watch videos from the PMWC session here:

The company’s Biomedical Intelligence® Cloud now includes new tools for immune-oncology research, improved applications for mapping the molecular basis of disease, and a new multidimensional version of the company’s molecular stratification engine.

Data4Cure’s platform is powered by CURIE™, a dynamic biomedical knowledge graph that is continuously updated with information dynamically extracted from a variety of data sources. Cross-referencing tens of thousands of datasets and bioinformatics analyses, literature, clinical trials and external databases, CURIE provides immediate data-driven answers to over 100 million biomedical questions.

CURIE understands biology,” said Janusz Dutkowski, Ph.D., CEO, Data4Cure, who chaired the PMWC session. “It combines advanced machine learning, systems biology and semantic search capabilities providing a new way to make discoveries. Our platform allows biological and clinical researchers to leverage diverse datasets to discover relationships between entities in a molecular system, and uncover how these entities and relations are affected by the disease and environment, and how they respond to drug interventions.”

CURIE is used by multiple applications running on Data4Cure’s Biomedical Intelligence Cloud. One of these presented in the update is the Disease Maps application which leverages a plethora of public and proprietary data to create up-do-date molecular maps for over 500 disease conditions including multiple cancer types, Alzheimer’s disease, Rheumatoid arthritis, diabetes, and other metabolic, immunological and neurological disorders.

The newest additions to Biomedical Intelligence Cloud platform include tools for immune-oncology research that Data4Cure has been testing with selected pharmaceutical partner companies. “These tools include algorithms for inferring immune cell types infiltrating tumors as well as systems biology tools for interrogating immune pathway activities associated with specific diseases subtypes,” said Roy Ronen, Ph.D., VP, Computational Biology at Data4Cure. The new tools are integrated with CURIE and other applications including the stratification and pathway analysis tools.

The platform also includes a redesigned network-based stratification engine which uses network maps along with genetic, epigenetic and transcriptional evidence to identify disease subtypes that are directly tied to the network and pathway-level activities and aberrations, and can be further associated with predicted sensitivity or resistance to selected drugs. In oncology applications the stratification process can now be informed by immune-infiltrate profiles inferred by the platform.

Data4Cure @ PMWC 2017

Updates were also introduced to the Multiscale Pathway Maps which combine with the Stratifier to analyze subtype-specific pathway activities, including among the immune pathway component. The updated Disease Maps application –   providing an integrative, data-driven view of a disease networks and drivers – features enhanced omics integration at the pathway-level and annotates maps with detailed information about drug targets, approved therapies and clinical trials.

Data4Cure Disease Maps

Launched in 2016, the Biomedical Intelligence Cloud has attracted customers and partners across some of the largest global pharmaceutical companies and leading research institutes. “We are very excited to work with some of the best research groups in the industry and academia,” said Dutkowski. “By dramatically accelerating the access to data-driven knowledge and uncovering non-obvious connections hidden in millions of datasets, scientific papers and clinical trials we can really start to turn data into cures.”

Learn more at www.data4cure

Data4Cure to organize a session at the upcoming PMWC 2017

Janusz Dutkowski, CEO, Data4Cure will be chairing a session on “How Molecular Subtyping Can Aid Clinical Drug Development” at the upcoming 2017 Precision Medicine World Conference (PMWC) Silicon Valley.

Pallavi Sachdev, MPH, PhD, Director of Oncology Biomarker Research, Eisai Inc. will be the second speaker at the session which is scheduled for the morning of January 24.

Update: Videos from the session are now available to watch online.

The 11th PMWC, co-hosted with Stanford Health Care, UCSF, Intermountain Healthcare, Duke University, and Duke Health, takes place January 22-25, 2017 in the heart of Silicon Valley, gathering global thought leaders across medicine, industry, research, regulatory, and the payor community to discuss the breakthroughs and challenges the world of precision medicine faces. Learn more at:

Session Synopsis: Deep NGS-based molecular and immune-infiltrate characterization and subtyping of tumors has the potential to identify molecular subsets that will benefit from immunotherapy as well as propose combination therapy to target single-agent resistance pathways. This session will showcase the utility of molecular subtyping to aid clinical drug development.

Session Speaker Profile: Dr. Sachdev, Director of Oncology Biomarker Research at Eisai, a human health care (hhc) company, supports the clinical development of a diverse in-house pipeline of oncology compounds. During her time at Eisai, Dr. Sachdev has increasingly focused on cross-functional and global coordination of biomarker research activities to support the development of targeted therapeutics by alignment of drug and diagnostic strategies to achieve the oncology pipeline clinical objectives. Previously, Dr. Sachdev was a scientist at The Rockefeller University focusing on stem cell biology, cancer signaling networks and systems biology. Dr. Sachdev received her B.S. from Cornell University, her Ph.D. in Biochemistry and Molecular Biology from Mount Sinai-New York University School of Medicine. She has co-authored numerous research publications in the fields of cancer signaling networks, cancer genomics and personalized medicine and presented at international scientific conferences.

Session Chair Profile: Janusz Dutkowski, PhD, co-founded Data4Cure with the goal to change how we acquire, integrate and apply biomedical data towards development of new therapies. He has a background in mathematics and computer science and has been working in business intelligence and operational research before transitioning to computational biology for his PhD and postdoc. Before founding Data4Cure, he was a scientist at the University of California, San Diego where he developed methods for multiscale network analysis and cancer biomarker discovery from large omics data. He has co-authored 20 research papers published in acclaimed scientific journals including Nature Biotechnology, Science and Cell and has been a speaker at numerous international conferences and scientific meetings.

We are looking forward to seeing you at the session!