Introduction of materials genome technology and its applications in the field of biomedical materials

Y Qiu, Z Wu, J Wang, C Zhang, H Zhang - Materials, 2023‏ - mdpi.com
Traditional research and development (R&D) on biomedical materials depends heavily on
the trial and error process, thereby leading to huge economic and time burden. Most …

[HTML][HTML] A smart architecture for diabetic patient monitoring using machine learning algorithms

A Rghioui, J Lloret, S Sendra, A Oumnad - Healthcare, 2020‏ - mdpi.com
Continuous monitoring of diabetic patients improves their quality of life. The use of multiple
technologies such as the Internet of Things (IoT), embedded systems, communication …

[PDF][PDF] Information System for Recommendation List Formation of Clothes Style Image Selection According to User's Needs Based on NLP and Chatbots.

V Husak, O Lozynska, I Karpov, I Peleshchak, S Chyrun… - COLINS, 2020‏ - ceur-ws.org
The work is devoted to the development of the information system for creating a list of
recommendations for fashionable style of clothing meeting the usersneeds using NLP and …

[HTML][HTML] Structural and tribological assessment of biomedical 316 stainless steel subjected to pulsed-plasma surface modification: Comparison of LPBF 3D printing …

Y Chabak, B Efremenko, I Petryshynets, V Efremenko… - Materials, 2021‏ - mdpi.com
The structural features and nanoindentation/tribological properties of 316 stainless steel
fabricated by conventional rolling and laser-based powder bed fusion (LPBF) were …

[PDF][PDF] Deep learning for medical materials: review and perspective

Y Qi, C Liu - ES Materials & Manufacturing, 2021‏ - espublisher.com
Deep learning and similar computational research approaches have cooperated with
materials research for years. Especially in the last few years, with the fast evolution of …

[PDF][PDF] Intellectual Analysis of Mak-ing Decisions Tree in Infor-mation Systems of Screening Observation for Immunological Patients

L Chyrun, E Leshchynskyy, V Lytvyn, A Rzheuskyi… - 2019‏ - sci.ldubgd.edu.ua
The aspects of the design of an immunological patient screening observation information
system related to the required system functionality are discussed. Practical solutions for …

Implementation of Artificial Neural Network to Predict Diabetes with High‐Quality Health System

P EP, SK, S Karthik, K MV, DP… - Computational …, 2022‏ - Wiley Online Library
Patients with diabetes who are closely monitored have a higher overall quality of life than
those who are not. Costs associated with healthcare can be decreased by utilising the …

Optimized packing titanium alloy powder particles

Z Duriagina, A Pankratov, T Romanova, I Litvinchev… - Computation, 2023‏ - mdpi.com
To obtain high-quality and durable parts by 3D printing, specific characteristics (porosity and
proportion of various sizes of particles) in the mixture used for printing or sintering must be …

Mathematical Modelling of Destabilization Stress Factors of Stable‐Elastic Fixation of Distal Trans‐and Suprasyndesmotic Fibular Fractures

A Chuzhak, V Sulyma, L Ropyak… - Journal of healthcare …, 2021‏ - Wiley Online Library
Introduction. Specification of possible stress factors destabilizing the fibula stable
osteosynthesis by the intramedullary nail with distal blocking and elastic fixation of distal …

Patient monitoring through artificial intelligence

T Ramathulasi, R Babu, M Yousuff - Artificial Intelligence for Health …, 2023‏ - taylorfrancis.com
Chronic diseases are now the leading cause of death and illness worldwide, replacing
infectious diseases. There is no immediate cure for chronic conditions, which is a significant …