Shilpa Sundar

Every Cure Knowledge Graph: A Unified Biomedical Knowledge Graph for Drug Repurposing

Piotr Kaniewski, Kathleen Carter, Daniel R. Rhodes, En May Lim et autres

Abstract Identifying causal connections between existing drugs and mechanistic profiles of diseases is a foundational step for effective drug repurposing. Although knowledge graphs (KGs) are highly suited for consolidating biomedical databases and tracking these connections, a single biomedical KG is constrained by …

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Have Biomedical Knowledge Graphs Left the Lab? A Scoping Review of Applications, Methods, and Translational Impact

Shilpa Sundar, Melissa Haendel

This registration contains the protocol for a scoping review of biomedical knowledge graph applications, methods, real-world utility, and translational impact. The review examines application domains, knowledge graph construction, representation and reasoning methods, validation approaches, and translational progression using the Translational Science Benefits …

Ten simple rules for licensing biomedical data resources

Shilpa Sundar, Seth Carbon, Daniel Korn, Julie A. McMurry et autres

Biomedical research increasingly depends on integrating and reusing data from multiple sources, yet data licensing practices in biomedical domains often lag behind software licensing in maturity and clarity. Vague or overly restrictive licenses hinder data sharing, integration, and downstream innovation. Here, we …

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Ten simple rules for licensing biomedical data resources

Shilpa Sundar, Seth Carbon, Daniel Korn, Julie A. McMurry et autres

Biomedical research increasingly depends on integrating and reusing data from multiple sources, yet data licensing practices in biomedical domains often lag behind software licensing in maturity and clarity. Vague or overly restrictive licenses hinder data sharing, integration, and downstream innovation. Here, we …

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Every Cure Knowledge Graph, a Unified Biomedical Knowledge Graph for Drug Repurposing

C. Bizon, Kathleen Carter, Nicolas Matentzoglu, Shilpa Sundar et autres

We present EC-KG, a Biolink Model-compatible biomeidcal KG for drug repurposing, created by integrating three complementary biomedical knowledge graphs: RTX-KG2, ROBOKOP KG, and PrimeKG. EC-KG integrates the three complementary biomedical KGs in an interoperable manner with multi-level provenance tracking, leading to a …

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Every Cure Knowledge Graph, a Unified Biomedical Knowledge Graph for Drug Repurposing

C. Bizon, Kathleen Carter, Nicolas Matentzoglu, Shilpa Sundar et autres

We present EC-KG, a Biolink Model-compatible biomeidcal KG for drug repurposing, created by integrating three complementary biomedical knowledge graphs: RTX-KG2, ROBOKOP KG, and PrimeKG. EC-KG integrates the three complementary biomedical KGs in an interoperable manner with multi-level provenance tracking, leading to a …

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A Blueprint for Open Science: How Transatlantic Teams Built and Deployed Knowledge Graphs to Enable Biological (AI) Models

Mina P. Peyton, Samarpan Mohanty, Van Q. Truong, Andrew Scouten et autres

Knowledge graphs (KGs) and large language models (LLMs) are increasingly applied in biomedical research; however, LLMs' tendency to hallucinate and lack of evidence traceability poses significant challenges for rigorous scientific applications. To address these limitations, the NVIDIA - AWS Open Data Knowledge …

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Mondo: integrating disease terminology across communities

Nicole Vasilevsky, Sabrina Toro, Nicolas Matentzoglu, Joseph E Flack et autres

Precision medicine aims to enhance diagnosis, treatment, and prognosis by integrating multimodal data at the point of care. However, challenges arise due to the vast number of diseases, differing methods of classification, and conflicting terminological coding systems and practices used to represent …

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Koza and Koza-Hub for born-interoperable knowledge graph generation using KGX

Daniel Korn, Patrick J. Golden, Aaron Odell, Katherina G Cortes et autres

Knowledge graph construction has become an essential domain for the future of biomedical research. But current approaches demand a high amount of redundant labor. These redundancies are the result of the lack of data standards and "knowledge-graph ready" data from sources. Using …

Improving Biomedical Knowledge Graph Quality: A Community Approach.

Katherina G Cortes, Shilpa Sundar, Sarah Gehrke, Keenan Manpearl et autres

Biomedical knowledge graphs (KGs) are widely used across research and translational settings, yet their design decisions and implementation are often opaque. Unlike ontologies that more frequently adhere to established creation principles, biomedical KGs lack consistent practices for construction, documentation, and dissemination. To …

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Design of efficient low power CMOS full-adder for high-performance digital systems &arithmetic applications

S.Solairaj, Shilpa Sundar

A 1.9nJ/bit, 5Mbps multi-standard ISM band wireless transmitter using fully digital PLL

Sudipto Chakraborty, Viral K. Parikh, Swaminathan Sankaran, Tomas Motos et autres

This paper presents an energy efficient transmitter for multi-standard applications (IEEE802.15.4, BLE, 5Mbps) in ISM2.4GHz band. It incorporates a fully digital PLL with two point modulation to achieve upto 5Mbps data rate at 9.5mW power consumption (including all power management blocks) at …

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