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Now showing items 9421-9427 of 9427
Antifungal Drug Formulation for Vaginal Yeast Infection
(Johns Hopkins University, 2022-12-09)
Over 138 million women worldwide are affected by recurrent yeast vaginitis or Candidiasis [1]. Candidiasis is a type of infection caused by yeast Candida albicans overgrowth, and it is one of the most common diseases ...
Soluble lymphocyte activation gene-3 contributes to α-synucleinopathy and related therapeutic development
(Johns Hopkins University, 2022-12-09)
Pathogenetic α-synuclein (α-Syn) misfolded preformed fibrils (PFF) in Parkinson’s disease (PD) spreads from cell-to-cell in a prion-like manner has been evident in many studies. However, the spreading mechanism remains ...
Computational Analysis of 3d Cleared and Labeled Pancreatic Cancer Samples
(Johns Hopkins University, 2022-12-12)
Pancreatic ductal adenocarcinoma (PDAC) is the most common form of pan- creatic cancer and with a 5-year survival rate of only 11%, it is amongst the deadliest cancers. Understanding pancreatic cancer growth pattern on a ...
BAYESIAN APPROACH TO MODELING THE RESPONSE OF A PATIENT TO DRUG TREATMENT
(Johns Hopkins University, 2022-12-13)
Drug viability is an important driver in determining the success of treatment. Developing customized treatment means developing a model for the patient. In this work, we use Hill's Equation to model a drug’s viability as ...
Seq2Seq Scene Graph Generation Utilizing Vision-language Pretrained Model
(Johns Hopkins University, 2022-12-20)
Scene graph generation (SGG) aims to represent a visual scene with a hierarchical structure that contains objects, attributes and relationships. Most existing SGG methods require two stages for detecting objects and ...
Investigation into Subcutaneous Injection Modeling
(Johns Hopkins University, 2022-12-09)
Clinical and animal models for subcutaneous injections can be expensive and inaccurate. In vitro models offer a more convenient and inexpensive way to test for drug bioavailability after administration. Subcutaneous Injection ...
Solving Complex Geometry Kinematics Problem with Function Approximation by Artificial Neural Network
(Johns Hopkins University, 2022-12-09)
Neural networks have been widely deployed to solve classification and regression problems, and, in recent years, there has been much interest in using neural networks for solving complicated problems. In this paper, a ...