Institute for Systems Biology

Digital twins for predictive oncology will be a paradigm shift for precision cancer care

Tina Hernandez‐Boussard, Paul Macklin, Emily J. Greenspan et al.

2021 · 201 Zit.

Biomedical knowledge graph-optimized prompt generation for large language models

Karthik Soman, Peter W. Rose, John H. Morris et al.

2024 · 92 Zit.

Medical digital twins: enabling precision medicine and medical artificial intelligence

Christoph Sadée, Stefano Testa, Thomas Barba et al.

2025 · 59 Zit.

Data Management of Sensitive Human Proteomics Data: Current Practices, Recommendations, and Perspectives for the Future

Nuno Bandeira, Eric W. Deutsch, Oliver Kohlbacher et al.

2021 · 43 Zit.

National Cancer Institute Imaging Data Commons: Toward Transparency, Reproducibility, and Scalability in Imaging Artificial Intelligence

Andriy Fedorov, William J.R. Longabaugh, David Pot et al.

2023 · 32 Zit.

Correction for Vangay et al., “Microbiome Metadata Standards: Report of the National Microbiome Data Collaborative’s Workshop and Follow-On Activities”

Pajau Vangay, Josephine Burgin, Anjanette Johnston et al.

2021 · 8 Zit.

The role of digital twins in P4 medicine: A paradigm for modern healthcare

Frank Emmert‐Streib, Seppo Parkkila, Reinhard Laubenbacher et al.

2025 · 4 Zit.

When blockchain meets artificial intelligence: An application to cancer histopathology

Runyu Hong, David Fenyö

2022 · 1 Zit.

Using AI to Improve Diagnosis and Treatment of Rare Diseases: A Chat Agent for Equitable and Accessible Healthcare

Frank M. Hodges, Sundareswar Pullela, Guy Cohen et al.

2025 · 0 Zit.

Mining the gaps: Deciphering Alzheimer’s biology through AI-driven reconciliation

Cory C. Funk, Tom Paterson, Alex Bangs et al.

2025 · 0 Zit.