Data-driven model discovery and model selection for noisy biological systems.

Biological systems exhibit complex dynamics that differential equations can often adeptly represent. Ordinary differential equation models are widespread; until recently their construction has required extensive prior knowledge of the system. Machine learning methods offer alternative means of model construction: differential equation models can be learnt from data via model discovery using sparse identification of nonlinear dynamics (SINDy).

A Cellular Automaton Simulation for Predicting Phase Evolution in Solid-State Reactions.

New computational tools for solid-state synthesis recipe design are needed in order to accelerate the experimental realization of novel functional materials proposed by high-throughput materials discovery workflows. This work contributes a cellular automaton simulation framework for predicting the time-dependent evolution of intermediate and product phases during solid-state reactions as a function of precursor choice and amount, reaction atmosphere, and heating profile. The simulation captures the effects of reactant particle spatial distribution, particle melting, and reaction atmosphere.

Implications of a new clinical classification of acute myocardial infarction.

Aim: The diagnostic criteria for type 2 myocardial infarction identify a heterogenous group of patients with variable outcomes and no clear treatment implications. We aimed to determine the implications of a new clinical classification for myocardial infarction with more objective diagnostic criteria using cardiac imaging.

Methods: In a prospective cohort study, patients with type 2 myocardial infarction underwent coronary angiography and cardiac magnetic resonance imaging or echocardiography.

Benchmarking the Efficacy of Salvage Systemic Therapies for Recurrent Meningioma: A RANO Group Systematic Review and Meta-analysis to Guide Clinical Trial Design.

Background: Despite advances in our understanding of the molecular underpinnings of meningioma progression and innovations in systemic and local treatments, recurrent meningiomas remain a substantial therapeutic challenge. The objective of this systematic review and meta-analysis is to provide a historical baseline, contemporary analysis, and propose a "rate of probable interest" to inform future clinical trial design and development on behalf of the RANO meningioma group.

Methods: PubMed, ClinicalTrials.

HEPATOCYTE GROWTH FACTOR FOR WALKING PERFORMANCE IN PERIPHERAL ARTERY DISEASE.

Introduction: VM202 is a plasmid encoding two isoforms of hepatocyte growth factor (HGF). In preclinical studies, HGF stimulated angiogenesis and muscle regeneration. This preliminary clinical trial tested the hypothesis that VM202 injections in gastrocnemius muscle would improve walking performance in people with mild to moderate and symptomatic lower extremity peripheral artery disease (PAD).