Results 221 to 230 of about 240,855 (328)

Comparing Self‐Reported and Physician‐Assessed Acne Severity Using Real‐World Data

open access: yesJEADV Clinical Practice, EarlyView.
ABSTRACT Background Real‐world data (RWD) offers access to vast amounts of health information; however, limited knowledge exists regarding its reliability in clinical and research practices. Objectives To analyse the agreement between self‐assessed severity of self‐reported acne vulgaris (AV), and physician‐assessed severity based on photographic ...
Ali Al‐Mousawi   +7 more
wiley   +1 more source

India: Gulshan – PCC

open access: yesFocus on Pigments, 2006
openaire   +1 more source

Autophagy Plays a Suppressive Role in Bladder Tumor Formation in an Orthotopic Mouse Model and Bladder Cancer Patient Specimens

open access: yesThe Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT Autophagy plays either a suppressing or promoting role during tumor development. Clarifying the role of autophagy in bladder tumorigenesis both in vitro and in vivo is crucial for developing novel therapeutic strategies through manipulating autophagy activity.
Wan‐Ting Kuo   +8 more
wiley   +1 more source

Russia: Omya — PCC

open access: yesFocus on Pigments, 2003
openaire   +1 more source

It Is Personal: What People with Parkinson's Disease Say Matters Most for Quality of Life

open access: yesMovement Disorders, EarlyView.
Abstract Background Little is known about what matters most for quality of life in people with Parkinson's disease and how much it varies between individuals. Objective The goal was to define the relative impact of quality of life determinants in people with Parkinson's disease, including variation across individuals and by disease severity, gender ...
Samantha Dorrance   +13 more
wiley   +1 more source

Structural Brain Abnormalities and Neuropsychiatric Symptoms in Post-COVID Condition. [PDF]

open access: yesNeuroImmune Pharm Ther
Ryan M   +6 more
europepmc   +1 more source

Designing High‐Entropy Alloys With Low Stacking Fault Energy Through Interpretable Machine Learning

open access: yesMaterials Genome Engineering Advances, EarlyView.
In this study, we developed an interpretable machine learning (ML) ensemble framework and, by integrating the VEC criterion with the proposed machine learning scoring parameter in the alloy composition screening process, successfully designed multiple CoCrFeNiMn‐based HEAs with TWIP/TRIP effects and without the BCC phase.
Shuai Nie   +6 more
wiley   +1 more source

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