2.5k citations
- Harvard UniversityUS84 papers
- Institute for Advanced StudyUS16 papers
- Boston UniversityUS8 papers
- Massachusetts General HospitalUS8 papers
- Massachusetts Institute of TechnologyUS7 papers
- Centre National de la Recherche ScientifiqueFR6 papers
- Northeastern UniversityUS6 papers
- Laboratoire de Physique ThéoriqueFR5 papers
- University of CambridgeGB5 papers
- University of PennsylvaniaUS5 papers
- Broad InstituteUS4 papers
- Columbia UniversityUS4 papers
120 papers
Optical Coherence Elastography Measures Mechanical Tension in the Lens and Capsule
Xu Feng, Guo-yang Li, Yuxuan Jiang +2
Lens tension is essential for accommodative vision but remains difficult to measure with precision. Here, we present an optical coherence elastography (OCE) technique that quantifi…
Multi-modal Representation Learning Enables Accurate Protein Function Prediction in Low-Data Setting
Serbülent Ünsal, Sinem Özdemir, Bünyamin Kasap +4
In this study, we propose HOPER (HOlistic ProtEin Representation), a novel multimodal learning framework designed to enhance protein function prediction (PFP) in low-data settings.…
QuickBind: A Light-Weight And Interpretable Molecular Docking Model
Wojtek Treyde, Seohyun Chris Kim, Nazim Bouatta +1
Predicting a ligand's bound pose to a target protein is a key component of early-stage computational drug discovery. Recent developments in machine learning methods have focused on…
Generative AI in Health Economics and Outcomes Research: A Taxonomy of Key Definitions and Emerging Applications, an ISPOR Working Group Report
Rachael Fleurence, Xiaoyan Wang, Jiang Bian +5
Objective: This article offers a taxonomy of generative artificial intelligence (AI) for health economics and outcomes research (HEOR), explores its emerging applications, and outl…
Learning and teaching biological data science in the Bioconductor community
Jenny Drnevich, Frederick J. Tan, Fabricio Almeida-Silva +15
Modern biological research is increasingly data-intensive, leading to a growing demand for effective training in biological data science. In this article, we provide an overview of…
Automated Inference of Graph Transformation Rules
Jakob L. Andersen, Akbar Davoodi, Rolf Fagerberg +6
The explosion of data available in life sciences is fueling an increasing demand for expressive models and computational methods. Graph transformation is a model for dynamic system…