1.9k citations
- Stanford UniversityUS266 papers
- Stanford Health CareUS29 papers
- Harvard UniversityUS28 papers
- University of California, BerkeleyUS26 papers
- California Institute of TechnologyUS24 papers
- Kavli Institute for Particle Astrophysics and CosmologyUS23 papers
- SLAC National Accelerator LaboratoryUS22 papers
- Fermi National Accelerator LaboratoryUS21 papers
- University College LondonGB17 papers
- Menlo SchoolUS16 papers
- Cornell UniversityUS15 papers
- Netherlands Institute for Radio AstronomyNL15 papers
325 papers
Integrative learning of individualized treatment rules from multiple studies with partially overlapping treatments
Yuan Bian, Donglin Zeng, Hyun-Joon Yang +2
An individualized treatment rule (ITR) tailors treatments to a patient's specific characteristics. However, randomized controlled trials (RCTs) are often underpowered to detect the…
From Days to Minutes: An Autonomous AI Agent Achieves Reliable Clinical Triage in Remote Patient Monitoring
Seunghwan Kim, Tiffany H. Kung, Heena Verma +8
Background: Remote patient monitoring (RPM) generates vast data, yet landmark trials (Tele-HF, BEAT-HF) failed because data volume overwhelmed clinical staff. While TIM-HF2 showed…
Large Language Models for Large-Scale, Rigorous Qualitative Analysis in Applied Health Services Research
Sasha Ronaghi, Emma-Louise Aveling, Maria Levis +3
Large language models (LLMs) show promise for improving the efficiency of qualitative analysis in large, multi-site health-services research. Yet methodological guidance for LLM in…
Simulations Predict Improved Valve Performance Without Direct Leaflet Intervention After Neonatal Truncus Arteriosus Repair
Karoline-Marie Bornemann, Perry S. Choi, Jay Huber +6
Truncus arteriosus (TA) is a rare and severe congenital heart disease. Quadricuspid valve morphology occurs in 25% of all TA patients and is linked to regurgitation and increased r…
Necessary and Sufficient Conditions for the Existence of an LU Factorization for General Rank Deficient Matrices
Eric Darve
We establish necessary and sufficient conditions for the existence of an LU factorization for an arbitrary square matrix , including singular and rank-deficient cases, wi…
Identifying and Characterizing Very Low Mass Spectral Blend Binaries with Machine Learning Methods
Juan Diego Draxl Giannoni, Malina Desai, Adam J. Burgasser +5
We present an approach to identifying and characterizing unresolved, very low mass spectral blend binaries composed of late-M, L, and T dwarfs using machine learning methodologies.…