Lawrence Livermore National Laboratory

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 · 193 Zit.

Federated benchmarking of medical artificial intelligence with MedPerf

Alexandros Karargyris, Renato Umeton, Micah Sheller et al.

2023 · 110 Zit.

Towards Anatomy Education with Generative AI-based Virtual Assistants in Immersive Virtual Reality Environments

Vuthea Chheang, Shayla Sharmin, Rommy Márquez-Hernández et al.

2024 · 84 Zit.

Future Connectivity for Disaster and Emergency Point of Care

Jimmy N. Yu, T. Keith Brock, Daniel M. Mecozzi et al.

2010 · 19 Zit.

The “Ecosystem as a Service (EaaS)” approach to advance clinical artificial intelligence (cAI)

Euma Ishii, Shion Seino, Daniel K. Ebner et al.

2022 · 11 Zit.

Similarity Metric for Data Optimization and Efficient Training of Reactive Machine Learning Force Fields for Hydrocarbon Radiolysis

Kwangnam Kim, Matthew P. Kroonblawd, Nir Goldman

2025 · 2 Zit.

Developing an Interactive OpenMP Programming Book with Large Language Models

Xinyao Yi, Anjia Wang, Yonghong Yan et al.

2024 · 1 Zit.

Enhancing Scientific Image Classification through Multimodal Learning: Insights from Chest X-Ray and Atomic Force Microscopy Datasets

David C. Meshnick, Nahal Shahini, Debargha Ganguly et al.

2023 · 1 Zit.

Research Software Engineering in the Age of AI

Katz, Daniel S., Goldman, Alfredo, Heroux, Michael et al.

2025 · 0 Zit.

Science & Technology Review August 2021

Suzanne Storar, Ben Kennedy, Allan Chen et al.

2021 · 0 Zit.

Research Software Engineering in the Age of AI

Katz, Daniel S., Goldman, Alfredo, Heroux, Michael et al.

2025 · 0 Zit.

Editorial: Safe and Trustworthy Machine Learning

Bhavya Kailkhura, Pin‐Yu Chen, Xue Lin et al.

2021 · 0 Zit.

Beyond Kd: Next Generation Performance Assessment Framework through Machine Learning

Haruko Wainwright, Elliot Chang, Dinara Ermakova et al.

2022 · 0 Zit.