Exploring the Potential Imaging Biomarkers for Parkinson's Disease Using Machine Learning Approach.

Parkinson's disease (PD) is a neurodegenerative disorder characterized by motor and neuropsychiatric symptoms resulting from the loss of dopamine-producing neurons in the substantia nigra pars compacta (SNc). Dopamine transporter scan (DATSCAN), based on single-photon emission computed tomography (SPECT), is commonly used to evaluate the loss of dopaminergic neurons in the striatum. This study aims to identify a biomarker from DATSCAN images and develop a machine learning (ML) algorithm for PD diagnosis.

Prediction of coating thickness for polyelectrolyte multilayers via machine learning.

Layer-by-layer (LbL) deposition method of polyelectrolytes is a versatile way of developing functional nanoscale coatings. Even though the mechanisms of LbL film development are well-established, currently there are no predictive models that can link film components with their final properties. The current health crisis has shown the importance of accelerated development of biomedical solutions such as antiviral coatings, and the implementation of machine learning methodologies for coating development can enable achieving this.

ECONOMIC AND LEGAL FORECAST ANALYSIS OF THE HEALTHCARE FINANCING SOURCES MATURITY IN UKRAINE.

The purpose of this article is to analyze the current situation of the development of the financial support sources in healthcare. In theoretical part we used generalized scientific methods of research such as analysis and synthesis to determine all the financial support sources in healthcare. In practical part we used the bulk of raw and processed statistical data and forecasting engine from Excel 2019 to understand the development trends of the healthcare financing sources and to define the level of their maturity based on their development lines.

Energy conversion efficiency in betavoltaic cells based on the diamond Schottky diode with a thin drift layer.

The HPHT diamond Schottky diode was assembled as a Metal/Intrinsic/p-doped structure betavoltaic cell (BC) with a very thin (1 μm) drift layer and tested under 5-30 keV electron beam irradiation using a scanning electron microscope (SEM). The effect of the β-radiation energy and the backscattering of electrons on the energy conversion was studied. From the results obtained, it is shown that, the efficiency of the investigated BC increases from 1.

BIOACTIVE GLASS-CERAMIC COMPOSITION IN SURGICAL MANAGEMENT OF PERIODONTAL INTRABONY DEFECTS.

It has been earlier proposed a novel graft on basis of bioactive glass-ceramics for infected bony defects, where silver and copper ions are represented as antibacterial agents. The objective was to investigate clinical and radiological efficacy of the bioactive glass-ceramic composition (BGCC) as bone substitute material for periodontal intrabony defects surgery. In a group of 47 patients with periodontitis was conducted controlled clinical study of the proposed composition.