Tejasvi Kothapalli
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View article: Artificial intelligence models utilize lifestyle factors to predict dry eye related outcomes
Artificial intelligence models utilize lifestyle factors to predict dry eye related outcomes Open
The purpose of this study is to examine and interpret machine learning models that predict dry eye (DE)-related clinical signs, subjective symptoms, and clinician diagnoses by heavily weighting lifestyle factors in the predictions. Machine…
View article: Artificial Intelligence Models Utilize Lifestyle Factors to Predict Dry Eye-Related Outcomes
Artificial Intelligence Models Utilize Lifestyle Factors to Predict Dry Eye-Related Outcomes Open
Purpose To examine and interpret machine learning models that predict dry eye (DE)-related clinical signs, subjective symptoms, and clinician diagnoses by heavily weighting lifestyle factors in the predictions. Methods Machine learning mod…
View article: Tracking the Dynamics of the Tear Film Lipid Layer
Tracking the Dynamics of the Tear Film Lipid Layer Open
Dry Eye Disease (DED) is one of the most common ocular diseases: over five percent of US adults suffer from DED. Tear film instability is a known factor for DED, and is thought to be regulated in large part by the thin lipid layer that cov…
View article: Controlling Tensegrity Robots through Evolution using Friction based Actuation
Controlling Tensegrity Robots through Evolution using Friction based Actuation Open
Traditional robotic structures have limitations in planetary exploration as their rigid structural joints are prone to damage in new and rough terrains. In contrast, robots based on tensegrity structures, composed of rods and tensile cable…