Objective
This research aimed to describe several areas in which AI could play a role in the development of Personalized Medicine and Drug Screening, and the transformations it has created in the field of biology and therapy. It also addressed the l
imitations faced by the application of artificial intelligence techniques and make suggestions for further research.
Methods
We have conducted a comprehensive review of research and papers related to the role of AI in personalized medicine and drug screening, and filtered the list of works for those relevant to this review.
Results
Artificial Intelligence can play an important role in the development of personalized medicines and drug screening at all clinical phases related to development and implementation of new customized health products, starting with finding the appropriate medicines to testing their usefulness. In addition, expertise in the use of artificial intelligence techniques can play a special role in this regard.
Discussion
The capacity of AI to enhance decision-making in personalized medicine and drug screening will largely depend on the accuracy of the relevant tests and the ways in which the data produced is stored, aggregated, accessed, and ultimately integrated.
Conclusion
The review of the relevant literature has revealed that AI techniques can enhance the decision-making process in the field of personalized medicine and drug screening by improving the ways in which produced data is aggregated, accessed, and ultimately integrated. One of the major obstacles in this field is that most hospitals and healthcare centers do not employ AI solutions, due to healthcare professionals lacking the expertise to build successful models using AI techniques and integrating them with clinical workflows.
Mining the causes of political decision-making is an active research area in the field of political science. In the past, most studies have focused on long-term policies that are collected over several decades of time, and have primarily relied on su
rveys as the main source of predictors. However, the recent COVID-19 pandemic has given rise to a new political phenomenon, where political decision-making consists of frequent short-term decisions, all on the same controlled topic---the pandemic. In this paper, we focus on the question of how public opinion influences policy decisions, while controlling for confounders such as COVID-19 case increases or unemployment rates. Using a dataset consisting of Twitter data from the 50 US states, we classify the sentiments toward governors of each state, and conduct controlled studies and comparisons. Based on the compiled samples of sentiments, policies, and confounders, we conduct causal inference to discover trends in political decision-making across different states.
This study aims to study the extent of applying the two dimensions of the empowerment
employees strategy(employees participation in decision-making and the justice and equity
of the top management) in the public industrial companies in Latakia. thi
s study was
applied in The General Organization of tobacco, textile Latakia Company and the General
Company of cotton threads of Latakia, To achieve the purpose of study a questionnaire has
been made and distributed to research sample which is(310) workers of these companies,
(265) of questionnaires out of total sample is returned and ready for analysis by the
statistical program (spss) in order to implementing the study goals.
In addition to questionnaire, a several interviews were made with the managers and
employees to aware precisely the work environment.
the main result of this study was, the public industrial companies lacks to minimum
required elements of the implementation of the strategy and workers of these companies
isn't contented and satisfied with the work environment and that is, doesn't encourage or
support workers to take part in decision-making process related to their job, as well as
there is injustice in of the work systems followed by top management.
The purpose of this study is to examine the effect of the use of accounting information
systems on improving the quality of administrative decisions in a sample of banks in the
Syrian coast. The researchers distributed (100) questionnaires to manag
ers, heads of
departments, supervisors and administrative personnel responsible for taking various types
of decisions adopted on the accounting information in the banks in question. The number
of returned and valid questionnaires that were discharged was (77). The researchers analyzed
the data using the Statistical Analysis Program (SPSS 20).
The study aimed at uncovering the effect of the use of brainstorming strategy in the
improving the decision-making skills of the fourth grade students through their answers to
a test that measures the decision-making skill in the social studies. It
also aims to know the
differences between the middle grades, the students who learned according to the
brainstorming strategy and the pupils Who were taught according to the usual method.
Accordingly, a semi-experimental approach was adopted.
Abrainstorming strategy was designed for a unit of the fourth grade social studies
book, and a test was designed to measure decision- (10) phrases, each of which included a
problem to be decided on, and the educational program was applied to a sample of the
fourth grade students in the first class of basic education (103) students and students in the
school of martyr Yasser Kasu in the city of Jblah, The study shows that there is a
statistically significant difference between the average scores of the students of the two
groups (experimental and control) in the post-implementation and deferred to test the skill
of decision making, and this difference is in the interest of the students of the experimental
group.
The study suggested that the brainstorming strategy should be applied in the teaching of
the new curriculum, and studies should be carried out to reveal the impact of this strategy
on the development of different thinking skills and in most subjects.
The purpose of the research is to identify the correlation between selfaffirmation
and decision-making, and to find out the differences between
the average grade of university students and the members of the research
sample on the scale of self-affirmation and decision making according to
the gender variable and the academic specialization.
The process of decision-making in organizations is based on
personal approval and experience and is largely influenced by the
personal and organizational values of the decision-maker. As well
as lack of scientific methods in the process of decisio
n-making,
which negatively affects the quality of decisions taken. This
research is an attempt to shed light on the role of personal and
organizational values in the quality of multi-criteria decisionmaking.
Decision making process have to be much more accurate and careful. Therefore, decision makers depend on what-if analysis systems to predict an impact of a specific scenario.
Usually, previous what-if analysis models in the literature have been direc
ted just to predict an impact of a specific scenario. Therefore, our main goal in this approach is to enhance what-if analysis to suggest the best scenarios, in addition to predict their impacts.
Affordable offers are one of the best ways to increase the revenue in telecom companies. Decision makers can predict a potential revenue before launching an offer, depending on what-if analysis system.
This research depends on enhanced k-means algorithm to categorize customers into segments of the same behavior or usage.
This paper aims to identify key characteristics projects in
reconstruction stage in order to assist decision makers to produce
appropriate approach to manage those projects effectively. A list of
characteristics that may exist in reconstruction projects were
identified through intensive literature review and pilot study with
various stakeholders involved in in reconstruction stage.
The research aims to identify the role of organizational culture in the activation of
participation in decision-making in the General Company for the port of Latakia process.
Adopted Find descriptive approach and included the research community all
the
administrative staff at the General Company for the port of Latakia, the research sample
are soft sample of administrative staff totaled (200) administrative workers were
distributed the questionnaire to them and returned them (182) questionnaire is complete
and ready for statistical analysis, and response rate (91%). And the adoption of appropriate
statistical methods was the most important results that have been reached:
*The harmony between workers and their confidence Bmadraihm and dedication to
work, in addition to the keenness of directors authorized subordinates and develop their
abilities and their morale and encourage them to contribute to collective action to activate
the decision making process in the company under study.
*Encouraging managers to employees urging them to innovate and actually growth,
innovation and vision possessing a deep understanding of the creation of new jobs and take
advantage of the challenges to increase learning and growth contributes to the activation of
the company's decision-making process under study.
*The status of directors of the objectives are clear, organized and completed
efficiently and their quest for stability and job security contributes to the activation of the
decision making process in the company under study.
*The confirmation of managers to work efficiently in the completion of tasks, and
their interest in achieving a good performance at work, and the utilization of available
resources and the preservation of achieving a privileged position in performance and
attention to workers and increase their efficiency and follow up their achievements
contribute to activating the decision-making process in the company under study.
