381 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of TorontoCA46 papers
- SickKids FoundationCA15 papers
- University College LondonGB11 papers
- Public Health OntarioCA8 papers
- Institute for Clinical Evaluative SciencesCA7 papers
- Stanford UniversityUS5 papers
- Centre National de la Recherche ScientifiqueFR4 papers
- Toronto Western HospitalCA4 papers
- University of California, BerkeleyUS4 papers
- Centro de Investigación y Docencia EconómicasMX3 papers
- Harvard UniversityUS3 papers
- Johns Hopkins UniversityUS3 papers
6 papers · 1 filter
Analytical Theory for Sequence-Specific Binary Fuzzy Complexes of Charged Intrinsically Disordered Proteins
Alan N. Amin, Yi-Hsuan Lin, Suman Das +1
Intrinsically disordered proteins (IDPs) are important for biological functions. In contrast to folded proteins, molecular recognition among certain IDPs is "fuzzy" in that their b…
A unified analytical theory of heteropolymers for sequence-specific phase behaviors of polyelectrolytes and polyampholytes
Yi-Hsuan Lin, Jacob P. Brady, Hue Sun Chan +1
The physical chemistry of liquid-liquid phase separation (LLPS) of polymer solutions bears directly on the assembly of biologically functional droplet-like bodies from proteins and…
Calculating the Expected Value of Sample Information in Practice: Considerations from Three Case Studies
Anna Heath, Natalia R. Kunst, Christopher Jackson +6
Investing efficiently in future research to improve policy decisions is an important goal. Expected Value of Sample Information (EVSI) can be used to select the specific design and…
Prognostic Value of Transfer Learning Based Features in Resectable Pancreatic Ductal Adenocarcinoma
Yucheng Zhang, Edrise M. Lobo-Mueller, Paul Karanicolas +3
Pancreatic Ductal Adenocarcinoma (PDAC) is one of the most aggressive cancers with an extremely poor prognosis. Radiomics has shown prognostic ability in multiple types of cancer i…
What Clinicians Want: Contextualizing Explainable Machine Learning for Clinical End Use
Sana Tonekaboni, Shalmali Joshi, Melissa D McCradden +1
Translating machine learning (ML) models effectively to clinical practice requires establishing clinicians' trust. Explainability, or the ability of an ML model to justify its outc…
Bayesian Pharmacokinetic Modeling of Dynamic Contrast-Enhanced Magnetic Resonance Imaging: Validation and Application
Andreas Mittermeier, Birgit Ertl-Wagner, Jens Ricke +2
Tracer-kinetic analysis of dynamic contrast-enhanced magnetic resonance imaging data is commonly performed with the well-known Tofts model and nonlinear least squares (NLLS) regres…