The Efficiency of AuNPs in Cancer Cell Targeting Compared to Other Nanomedicine Technologies Using Fuzzy PROMETHEE

Cancer is a disease with rare, diverse symptoms, causing abnormal cell growth in an uncontrolled way, leading to cell damage, apoptosis, and eventually death of the patient. This study uses the Fuzzy PROMETHEE technique to develop a new path for cancer treatment based on nanoparticles (NPs) applications, used in controlled anticancer drug delivery (drug release, toxicity, and unspecific site targeting) to enhance patient safety. The different nanoparticles employed in the drug delivery analysis are gold nanoparticles (AuNPs), liposomes, dendrimers, polymeric micelles (PMs), and quantum dots (QDs). Fuzzy predictable preference organization mode and evaluation multicriteria choice were used as tactics in making the best decision using the data from the factors of cost, size, shape, surface charge, ligand type, pH and temperature stimuli, biocompatibility, accumulation ratio, toxicity, specificity, stability, efficacy, adverse effect, and safety factor of the NPs. The results obtained from the total net flow of the visual PROMETHEE scenario for anticancer drug delivery, based on NPs data analysis, show that AuNPs are ranked the highest among the other NPs. The Phi values obtained for the NPs are as follows: AuNPs (0.1428), PMs (0.0280), QDs (−0.0467), dendrimers (−0.0593), and liposomes (−0.0649). This study highlights the optimal choice of NPs as an intelligent drug delivery system that facilitates therapeutic efficiency, where cancer cells are accurately targeted to enhance treatment quality and patient safety.

Optimization of Dental Devices and Tools Used on Teeth

Taking decisions is important in every aspect of life. Decision-making has become a difficult problem in any situation where there are multiple criteria. The application of multicriteria decision-making methods that can bring mathematical and logical solutions to the problem from an analytical perspective has experienced considerable growth recently. It provides great benefits in solution and subsequent stages. Medical equipment selection is also a challenging, complex, and difficult problem for the decision-maker, due to the requirements of conflicting criteria, which must be taken into account simultaneously. In this context, the aim of this study implicates the principle of multicriteria decision-making theories on various types of instruments used in dentistry. Since the data used in this study are not numeric but linguistic, the Fuzzy PROMETHEE decision-making method is used. In this research, six dental tools most commonly used by professionals to perform operations on patients are compared and evaluated. Fuzzy PROMETHEE decision-making method investigations show that the dental mirror is the most effective tool among all compared tools, followed by dental suction, dental air abrasion, dental handpiece, dental laser, and dental X-ray, consequently, basing on the selected criteria and the importance weight given to each criterion. Using this technique, one can obtain more specific ranking results based on a specific preference level.

Decision Analysis of the COVID-19 Vaccines

The entire globe is struggling with the COVID-19 pandemic since March 11, 2020. There is still a large number of infected patients and death, and there is no proven treatment for the infection yet. This has led to the race in vaccine development to protect people from COVID-19 infection. As of February 3, 2021, there were 289 experimental COVID -19 vaccines in development, 66 of which were in clinical trials with different phases, and 20 of them were in phase 3. This study aims to evaluate 15 important vaccines based on criteria such as the dose number, dosing schedule, storage advantages, efficacy, and side effect. In this evaluation, we use the fuzzy PROMETHEE approach, which is an important Multi-Criteria Decision Making (MCDM) technique. The importance level of the criteria is determined based on expert opinion. The result shows that the EpiVacCorona vaccine is the most effective vaccine to prevent COVID-19 infections based on the selected criteria and the importance level of each criterion. The result obtained may change based on individual or expert’s priorities. Due to the use of different criteria for the ranking and different weightings of the criteria, the ranking result may differ. This study also shows the strengths and weaknesses of the selected vaccines and the applicability of the MCDM technique for the evaluation of COVID -19 vaccines.

An investigation to choose the proper therapy technique in the management of autism spectrum disorder

Aim: Autism spectrum disorder is a class of neurological disorders that affect the development of brain functions. This study aims to evaluate, compare and rank the therapy techniques used in the management of autism spectrum disorder using multicriteria decision-making approaches. Materials & methods: Fuzzy PROMETHEE and fuzzy TOPSIS approaches were used. Fuzzy PROMETHEE utilizes a pair-wise comparison of alternatives under the fuzzy environment while fuzzy TOPSIS utilizes geometric distance from the positive ideal solution under the fuzzy environment for the evaluation of the effectiveness of the alternatives.The techniques selected for evaluation are applied behavioral analysis, cognitive behavioral therapy, speech therapy and pharmacological therapy such as Risperidone and Aripiprazole. Criteria used in this study include efficacy, cost and side effects, and their weights are assigned based on specific patient conditions. Results: The results indicate that applied behavioral analysis, cognitive behavioral therapy and speech therapy are the most preferred techniques, followed by Aripiprazole and Risperidone. Conclusion: More criteria could be considered and the weights could be assigned according to the patient profile.

Comparative Evaluation of the Treatment of COVID-19 with Multicriteria Decision-Making Techniques

Objectives. The outbreak of coronavirus disease 2019 (COVID-19) was first reported in December 2019. Until now, many drugs and methods have been used in the treatment of the disease. However, no effective treatment option has been found and only case-based successes have been achieved so far. This study aims to evaluate COVID-19 treatment options using multicriteria decision-making (MCDM) techniques. Methods. In this study, we evaluated the available COVID-19 treatment options by MCDM techniques, namely, fuzzy PROMETHEE and VIKOR. These techniques are based on the evaluation and comparison of complex and multiple criteria to evaluate the most appropriate alternative. We evaluated current treatment options including favipiravir (FPV), lopinavir/ritonavir, hydroxychloroquine, interleukin-1 blocker, intravenous immunoglobulin (IVIG), and plasma exchange. The criteria used for the analysis include side effects, method of administration of the drug, cost, turnover of plasma, level of fever, age, pregnancy, and kidney function. Results. The results showed that plasma exchange was the most preferred alternative, followed by FPV and IVIG, while hydroxychloroquine was the least favorable one. New alternatives could be considered once they are available, and weights could be assigned based on the opinions of the decision-makers (physicians/clinicians). The treatment methods that we evaluated with MCDM methods will be beneficial for both healthcare users and to rapidly end the global pandemic. The proposed method is applicable for analyzing the alternatives to the selection problem with quantitative and qualitative data. In addition, it allows the decision-maker to define the problem simply under uncertainty. Conclusions. Fuzzy PROMETHEE and VIKOR techniques are applied in aiding decision-makers in choosing the right treatment technique for the management of COVID-19.