artificial intelligence as a tool to enhance decision-making in personalized medicine and drug screening

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 limitations 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.

Using Scalable Data Mining for Predicting Flight Delays

Flight delays are frequent all over the world (about 20% of airline flights arrive more than 15 minutes late) and they are estimated to have an annual cost of several tens of billion dollars. This scenario makes the prediction of flight delays a primary issue for airlines and travelers. The main goal of this work is to implement a predictor of the arrival delay of a scheduled flight due to weather conditions. The predicted arrival delay takes into consideration both flight information (origin airport, destination airport, scheduled departure and arrival time) and weather conditions at origin airport and destination airport according to the flight timetable. Airline flights and weather observations datasets have been analyzed and mined using parallel algorithms implemented as MapReduce programs executed on a Cloud platform. The results show a high accuracy in predicting delays above a given threshold. For instance, with a delay threshold of 15 minutes we achieve an accuracy of 74.2% and 71.8% recall on delayed flights, while with a threshold of 60 minutes the accuracy is 85.8% and the delay recall is 86.9%. Furthermore, the experimental results demonstrate the predictor scalability that can be achieved performing data preparation and mining tasks as MapReduce applications on the Cloud.

Data science and knowledge extraction from raw data

تعرض المحاضرة شرح عن علم البيانات وعلاقته بعلم الإحصاء والتعلم الآلي وحالتين دراسيتين عن دور عالم البيانات في تصميم حلول تعتمد على استخراج المعرفة من حجم كبير من البيانات المتوفرة, كما يتم عرض أهم المهام في المؤتمرات العلمية التي يمكن المشاركة بها لطلاب المعلوماتية المهتمين بهذا المجال

The role of marketing intelligence in creating competitive vigilance. (A comparative study between the branches of the commercial bank and branches of Bemo Bank in the Syrian coast.)

The research aims to study the role of marketing intelligence in creating competitive vigilance at the branches of the commercial bank and branches of Bemo Bank operating in the Syrian coast.. The researcher used the descriptive approach and developed a questionnaire to collect preliminary data about research sample’s vocabularies, which was a simple consists of Staff (head of department / manager) was on the Syrian coast. The questionnaire was distributed to the staff of the banks in the study, where they reached 79 employees, but only 66 of them were valid questionnaires. The questionnaire used a Likert Scale )five points scale). Furthermore, the analysis used statistical indicators that were appropriate for nominal and grade data. Finally, reliability and validity of honesty testing was conducted to determine the suitability of questionnaire’s questions to the research goal, as well as a set of testing differences between averages. The research concluded the following findings: 1.There is statistically significant relationship between marketing intelligence and its ability to achieve competitive vigilance at organizations. 2.There is a correlation significant relationship between competitor’s position and attitude study and achieving competitive vigilance. 3.There is a correlation significant relationship between customers’ study and achieving competitive vigilance.

The Role of Organizational Intelligence Dimensions in Developing the Performance of Insurance Companies (a Field Study on Private Insurance Companies in The Syrian Coast)

The study aims to study the availability of the dimensions of organizational intelligence in the private insurance companies in the Syrian coast, and study the nature and strength of the relationship between the dimensions of organizational intelligence and performance. To achieve this, three hypotheses were formulated. The researcher used the questionnaire technique to collect the data analyzed using statistical tests, the most important of which were: the one-sample T. test, the Pearson Correlation test, and the simple regression test. The researcher found several results, the most important of which is: Organizational intelligence in the studied companies is well evaluated, there is a positive relationship between the dimensions of organizational intelligence and performance, and there is a statistically significant effect of organizational intelligence on performance in the companies under study.

Social intelligence and its relation to creative thinking among high school students in Damascus

The study aimed to investigate the relationship between social intelligence and creative thinking among secondary school students in Damascus, in addition to identifying the level of social intelligence and creative thinking among the students in the research sample. The researcher used the analytical descriptive method. The study sample consisted of (74) students from secondary school students who were randomly selected. The study tools consisted of the first measure of social intelligence and the second measure of creative thinking. The researcher conducted the necessary statistical analysis to ascertain the psychometric characteristics of the research tools on the one hand and to verify the validity of the hypotheses on the other hand. The results were as follows: 1. There is a significant correlation between social intelligence and creative thinking among high school students (first secondary) 2. There are statistically significant differences in social intelligence among high school students due to the difference in sex (male - female) in favor of females. 3. There are no statistically significant differences in creative thinking among high school students due to gender differences (male - female). In the light of the findings of the study, the researcher recommended the necessity of preparing some activities and exercises that help to develop social intelligence in high school students and to find courses that promote and stimulate the skills of intelligence and thinking, especially social intelligence and creative thinking. The study also recommended that the teacher focus on presenting his material on skills Interpretation, analysis, flexibility, fluency and originality so that students can acquire creative thinking skills

Study the reality of marketing intelligence in private banks operating in the Syrian coast

The research aims to study the reality of Marketing Intelligence (Customer Intelligence, Competitor Intelligence, Communicating Marketing Information among departments) in the private banks operating in the Syrian Coast. The research adapts the descriptive approach. A questionnaire has been developed to collect primary data from the research sample, which is a soft sample of 50 of Syrian Coast Private Banks' managers. 39 valid questionnaires have been returned, which then have been analyzed by using some Statistical tools provided by the statistical program SPSS, like: Means, relative importance, and T-test. The most important research's results are represented in:The Banks under study adapt customer intelligence as one of the most important components of marketing intelligence, with a relative importance reached to (75.81%), and Competitor Intelligence as one of the most important components of marketing intelligence, with a relative importance reached to (73.846%).The researcher also made a number of recommendations, including: The banks in question should give a more formal character to the activities of marketing intelligence, carry out pilot studies to obtain information about customers, and They should have update and detailed reports about competitors; to stay informed about their strategies and movements.

The Role Of Strategic Intelligence In Developing The Performance Of Insurance Companies (A Field Study On Private Insurance Companies In The Syrian Coast)

This research deals with the role of strategic intelligence in the development of the performance of insurance companies where strategic intelligence contributes to helping organizations achieve their goals and interact with their environment with a great deal of flexibility, by providing them with predictions of opportunities and threats, and taking appropriate action on the basis of systematic knowledge and thinking, enabling the organization to respond to current and future environment changes, and planning and forecasting results, which reflected positively on performance, strategic intelligence consists of several elements, including: foresight, systematic thinking, future visioning, motivation, and partnership. The research aims to analyze the reality of applying the elements of strategic intelligence in Private Insurance Companies in The Syrian Coast, and study the nature and strength of the relationship between strategic intelligence and performance. To achieve this, three hypotheses were formulated. The researcher used the questionnaire method to collect the data and analyzed it by using statistical tests, the most important of which were: the one-sample T. test, the Pearson Correlation test, and the multiple regression test. The researcher found several results, the most important of which is: Strategic intelligence is available in the studied companies with an average evaluation. There is also a positive correlation between strategic intelligence and performance. There is a statistically significant effect on the elements of strategic intelligence on performance in the studied companies, except for the elements of future vision and motivation.

The Role Of Strategic Intelligence In Formulating An Effective Strategy For Organizations – A Survey Of The Views Of A Sample Of Managers Of Public Organizations In The Syrian Coast

This Research Aims To Study The Role Of Strategic Intelligence In Formulating An Effective Strategy For Organizations, By Studying Two Important Elements Of Strategic Intelligence: Strategic Thinking And Strategic Planning As Two Independent Variables And Their Role In Formulating An Effective Organizational Strategy That Is Considered A Dependent Variable.

Artificial Intelligence

الذكاء هو القدرة على فهم و تعلم الأشياء. الذكاء الطبيعي هو كائن له دماغ, او شيء ما, يمكنه من التعلم, و الفهم, و حل المشكلات و اتخاذ القرارات. الذكاء الصنعي علم يبحث في السلوك الذكي لغير الكائنات الحية.