Lessons From Drug Discovery for Cryoprotective Agent Design: An AI‐Oriented Perspective
Advanced Science, EarlyView.Cryoprotectant design is reframed through the lens of drug discovery as a multiparameter optimization problem. This perspective highlights how AI and systematic design strategies could enable safer, more effective cryoprotectants, while identifying key limitations that currently constrain predictive progress in cryobiology. ABSTRACT Cryopreservation is
Dominika Wilczok +4 more
wiley +1 more source
Physics-Based Inverse Modeling of Battery Degradation with Bayesian Methods. [PDF]
ChemSusChemPhilipp MCJ +3 more
europepmc +1 more source
Application of Bayesian methods to accelerate rare disease drug development: scopes and hurdles. [PDF]
Orphanet J Rare Dis, 2022 Kidwell KM +9 more
europepmc +1 more source
On the Relevance of the Bayesian Approach to Statistics
In this essay, I argue about the relevance and the ultimate unity of the Bayesian approach in a neutral and agnostic manner. My main theme is that Bayesian data analysis is an effective tool for handling complex models, as proven by the increasing ...
Christian P. Robert
core
The Generalized Method of Moments in the Bayesian Framework and a Model of Moment Selection Criterion [PDF]
While the classical framework has a rich set of limited information procedures such as GMM and other related methods, the situation is not so in the Bayesian framework.
Jae-Young Kim
core
Mechanistic Understanding of Protein–MOF Integration Through Surfactant‐Driven Interfacial Design
Advanced Science, EarlyView.This study reveals how surfactant‐driven interfacial design governs the assembly and stability of protein@MOF composites. Using lipid‐based nonionic surfactants, we modulate protein–MOF interactions to improve encapsulation efficiency, MOF crystallization, and catalytic performance.
Ehsan Rashidniyaghi +4 more
wiley +1 more source
Bayesian methods for estimating injury rates in sport injury epidemiology. [PDF]
Inj EpidemiolChandran A, Lambert B.
europepmc +1 more source
AI‐Physics‐Experiment Trinity for Integrated Protein Dynamics Modeling
Advanced Science, EarlyView.This review unites experiments, physics‐based simulations, and AI as a synergistic triad for protein dynamics modeling. It highlights integrative strategies, resolves sampling and forcefield bottlenecks, and outlines challenges and future directions for accurate, interpretable conformational ensemble prediction.
Chen Shi +4 more
wiley +1 more source
A Note on Lindley's Approximate Bayesian Methods [PDF]
The Egyptian Statistical Journal, 1991 S.A. Shaban
doaj +1 more source
Who benefits? Uncovering hidden heterogeneity of treatment effects in adaptive trials using Bayesian methods: a systematic review. [PDF]
TrialsGiblon R +7 more
europepmc +1 more source