Preoperative predictive factors for opaque bubble layer formation and area during small-incision lenticule extraction: predictive models based on machine learning. [PDF]
Peng C +8 more
europepmc +1 more source
Two Pillars of My Path in Cytopathology: Mentorship From Training to Practice
ABSTRACT Mentorship has been a cornerstone of my professional development in cytopathology, shaping both my diagnostic acumen and academic identity. Under the guidance of Dr. Claire Michael during residency and fellowship, I was introduced to a culture of intellectual rigor, systems thinking, and continuous improvement.
Hamza N. Gokozan
wiley +1 more source
Reliability of magnetic resonance imaging findings in symptomatic minor instability of the lateral elbow: A cross-specialty evaluation. [PDF]
Ângelo AC +4 more
europepmc +1 more source
ABSTRACT Objective To synthesize the evidence on the associations between vegetarian and vegan diets (VVDs) and eating disorder (ED) symptoms compared with omnivorous diets across the lifespan. Method Following the preferred reporting items for systematic reviews and meta‐analyses (PRISMA) 2020 Guidelines, we searched PubMed, Scopus, Cochrane Library ...
Valentina Díaz‐Goñi +8 more
wiley +1 more source
Assessing Gingival Smile and Muscle Strength. [PDF]
Antunes KB +4 more
europepmc +1 more source
From patterns to predictions: a framework for the spatial epidemiology of wildlife diseases
Wildlife diseases pose a significant threat to biodiversity conservation, public health, and livestock. Spatial epidemiology provides a robust framework to understand disease dynamics and guide policy and management. However, the rapid proliferation of spatial methods has largely occurred in isolation across disciplines, leaving the field without a ...
Cesar Herraiz, Pelayo Acevedo
wiley +1 more source
Incremental contribution of Corvis ST dynamic biomechanical parameters to interpretable machine learning prediction of clinician-selected refractive procedures: a retrospective observational study. [PDF]
Li Y +5 more
europepmc +1 more source
The Science and Math Investigative Learning Experiences (SMILE) Program
SMILE is a science and math academic enrichment after-school program in partnership between The University of Rhode Island and school districts.
core
Generative Models in Inorganic Crystals Discovery and Inverse Design
Generative inverse‐design samples from the vast inorganic crystal design space by starting from target properties such as band gap, stability, and ion transport. This Review examines the representations, generative models, and validation workflows needed to translate candidate structures into stable, potentially synthesizable materials for applications
Tao Li +5 more
wiley +1 more source

