173 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Cleveland ClinicUS5 papers
- Case Western Reserve UniversityUS4 papers
- IBM Research - AlmadenUS3 papers
- IBM Research - Thomas J. Watson Research CenterUS2 papers
- IBM (United States)US2 papers
- Sorbonne UniversitéFR2 papers
- Syracuse UniversityUS2 papers
- The University of QueenslandAU2 papers
- University of CambridgeGB2 papers
- University of NottinghamGB2 papers
- Yale UniversityUS2 papers
- Agència de Salut Pública de CatalunyaES1 paper
11 papers
A Quantum Framework for Protein Binding-Site Structure Prediction on Utility-Level Quantum Processors
Yuqi Zhang, Yuxin Yang, William Martin +8
Accurate prediction of protein active-site structures remains a central challenge in structural biology, particularly for short and flexible peptide fragments where conventional an…
Detection-Guided Deep Learning-Based Model with Spatial Regularization for Lung Nodule Segmentation
Jiasen Zhang, Mingrui Yang, Weihong Guo +3
Lung cancer ranks as one of the leading causes of cancer diagnosis and is the foremost cause of cancer-related mortality worldwide. The early detection of lung nodules plays a pivo…
Multi-view biomedical foundation models for molecule-target and property prediction
Parthasarathy Suryanarayanan, Yunguang Qiu, Shreyans Sethi +15
Quality molecular representations are key to foundation model development in bio-medical research. Previous efforts have typically focused on a single representation or molecular v…
The need to implement FAIR principles in biomolecular simulations
Rommie Amaro, Johan Åqvist, Ivet Bahar +125
This letter illustrates the opinion of the molecular dynamics (MD) community on the need to adopt a new FAIR paradigm for the use of molecular simulations. It highlights the necess…
Towards quantum computing for clinical trial design and optimization: A perspective on new opportunities and challenges
Hakan Doga, M. Emre Sahin, Joao Bettencourt-Silva +10
Clinical trials are pivotal in the drug discovery process to determine the safety and efficacy of a drug candidate. The high failure rates of these trials are attributed to deficie…
A perspective on protein structure prediction using quantum computers
Hakan Doga, Bryan Raubenolt, Fabio Cumbo +5
Despite the recent advancements by deep learning methods such as AlphaFold2, \textit{in silico} protein structure prediction remains a challenging problem in biomedical research. W…
Skeleton coupling: a novel interlayer mapping of community evolution in temporal networks
Bengier Ülgen Kilic, Sarah Feldt Muldoon
Dynamic community detection (DCD) in temporal networks is a complicated task that involves the selection of a method and its associated hyperparameters. How to choose the most appr…
Artificial Intelligence Assistance Significantly Improves Gleason Grading of Prostate Biopsies by Pathologists
Wouter Bulten, Maschenka Balkenhol, Jean-Joël Awoumou Belinga +17
While the Gleason score is the most important prognostic marker for prostate cancer patients, it suffers from significant observer variability. Artificial Intelligence (AI) systems…
A Commentary on Statistical Assessment of Violence Recidivism Risk
Peter B. Imrey, A. Philip Dawid
Increasing integration and availability of data on large groups of persons has been accompanied by proliferation of statistical and other algorithmic prediction tools in banking, i…
Penalized Euclidean Distance Regression
D. Vasiliu, T. Dey, I. L. Dryden
A new method is proposed for variable screening, variable selection and prediction in linear regression problems where the number of predictors can be much larger than the number o…
Modeling Light Curves for Improved Classification
Julian Faraway, Ashish Mahabal, Jiayang Sun +4
Many synoptic surveys are observing large parts of the sky multiple times. The resulting lightcurves provide a wonderful window to the dynamic nature of the universe. However, ther…